Sample records for resource block allocation

  1. Joint Power and Resource Allocation for Block-Fading Relay-Assisted Broadcast Channels

    Shaqfeh, Mohammad


    We provide the solution for optimizing the power and resource allocation over block-fading relay-assisted broadcast channels in order to maximize the long term average achievable rates region of the users. The problem formulation assumes regenerative (repetition coding) decode-and-forward (DF) relaying strategy, long-term average total transmitted power constraint, orthogonal multiplexing of the users messages within the channel blocks, possibility to use a direct transmission (DT) mode from the base station to the user terminal directly or a relaying (DF) transmission mode, and partial channel state information. We show that our optimization problem can be transformed into an equivalent "no-relaying" broadcast channel optimization problem with each actual user substituted by two virtual users having different channel qualities and multiplexing weights. The proposed power and resource allocation strategies are expressed in closed-form that can be applied practically in centralized relay-assisted wireless netw...

  2. In-Band Interference Effects on UTRA LTE Uplink Resource Block Allocation

    Priyanto, Basuki Endah; Sørensen, Troels Bundgaard; Jensen, Ole Kiel


    In this paper we investigate the impact of in-band interference on the uplink multiple access of UMTS Terrestrial Radio Access, long term evolution (UTRA LTE). In- band and out-of-band interference arise as a result of transmitter imperfections. Out-of- band, or adjacent channel, interference can......, and when the interfering signal is received at higher power spectral density (PSD). The effect of frequency offset and different PSD level from the UE interferers to a victim UE is studied. The impact on different UE resource block size allocation is also investigated. The results are obtained from an LTE...

  3. How should INGOs allocate resources?

    Scott Wisor


    Full Text Available International Non-governmental Organizations (INGOs face difficult choices when choosing to allocate resources. Given that the resources made available to INGOs fall far short of what is needed to reduce massive human rights deficits, any chosen scheme of resource allocation requires failing to reach other individuals in great need. Facing these moral opportunity costs, what moral reasons should guide INGO resource allocation? Two reasons that clearly matter, and are recognized by philosophers and development practitioners, are the consequences (or benefit or harm reduction of any given resource allocation and the need (or priority of individual beneficiaries. If accepted, these reasons should lead INGOs to allocate resources to a limited number of countries where the most prioritarian weighted harm reduction will be achieved. I make three critiques against this view. First, on grounds the consequentialist accepts, I argue that INGOs ought to maintain a reasonably wide distribution of resources. Second, I argue that even if one is a consequentialist, consequentialism ought not act as an action guiding principle for INGOs. Third, I argue that additional moral reasons should influence decision making about INGO resource allocation. Namely, INGO decision making should attend to relational reasons, desert, respect for agency, concern for equity, and the importance of expressing a view of moral wrongs.

  4. Optimal resource allocation for distributed video communication

    He, Yifeng


    While most books on the subject focus on resource allocation in just one type of network, this book is the first to examine the common characteristics of multiple distributed video communication systems. Comprehensive and systematic, Optimal Resource Allocation for Distributed Video Communication presents a unified optimization framework for resource allocation across these systems. The book examines the techniques required for optimal resource allocation over Internet, wireless cellular networks, wireless ad hoc networks, and wireless sensor networks. It provides you with the required foundat

  5. Resource Allocation Using Metaheuristic Search

    Andy M. Connor


    Full Text Available This research is focused on solving problems in the area of software project management using metaheuristic search algorithmsand as such is resea rch in the field of search based software engineering. The main aim of this research is to ev aluate the performance of different metaheuristic search techniques in resource allocat ion and scheduling problemsthat would be typical of software development projects.This paper reports a set of experiments which evaluate the performance of three algorithms, namely simulat ed annealing, tabu search and genetic algorithms. The experimental results indicate thata ll of themetaheuristics search techniques can be used to solve problems in resource allocation an d scheduling within a software project. Finally, a comparative analysis suggests that overa ll the genetic algorithm had performed better than simulated annealing and tabu search.

  6. Distributed algorithms for resource allocation and routing

    Hu, Zengjian


    In this thesis, we study distributed algorithms in the context of two fundamental problems in distributed systems, resource allocation and routing. Resource allocation studies how to distribute workload evenly to resources. We consider two different resource allocation models, the diffusive load balancing and the weighted balls-into-bins games. Routing studies how to deliver messages from source to estination efficiently. We design routing algorithms for broadcasting and gossiping in ad hoc n...

  7. Hierarchical Resource Allocation in Femtocell Networks using Graph Algorithms

    Sadr, Sanam


    This paper presents a hierarchical approach to resource allocation in open-access femtocell networks. The major challenge in femtocell networks is interference management which in our system, based on the Long Term Evolution (LTE) standard, translates to which user should be allocated which physical resource block (or fraction thereof) from which femtocell access point (FAP). The globally optimal solution requires integer programming and is mathematically intractable. We propose a hierarchical three-stage solution: first, the load of each FAP is estimated considering the number of users connected to the FAP, their average channel gain and required data rates. Second, based on each FAP's load, the physical resource blocks (PRBs) are allocated to FAPs in a manner that minimizes the interference by coloring the modified interference graph. Finally, the resource allocation is performed at each FAP considering users' instantaneous channel gain. The two major advantages of this suboptimal approach are the significa...

  8. Statistical Mechanics of Resource Allocation

    Inoue, Jun-ichi


    We provide a mathematical model to investigate the resource allocation problem for agents, say, university graduates who are looking for their positions in labor markets. The basic model is described by the so-called Potts spin glass which is well-known in the research field of statistical physics. In the model, each Potts spin (a tiny magnet in atomic scale length) represents the action of each student, and it takes a discrete variable corresponding to the company he/she applies for. We construct the energy to include three distinct effects on the students' behavior, namely, collective effect, market history and international ranking of companies. In this model system, the correlations (the adjacent matrix) between students are taken into account through the pairwise spin-spin interactions. We carry out computer simulations to examine the efficiency of the model. We also show that some chiral representation of the Potts spin enables us to obtain some analytical insights into our labor markets.

  9. Cognitive radio networks dynamic resource allocation schemes

    Wang, Shaowei


    This SpringerBrief presents a survey of dynamic resource allocation schemes in Cognitive Radio (CR) Systems, focusing on the spectral-efficiency and energy-efficiency in wireless networks. It also introduces a variety of dynamic resource allocation schemes for CR networks and provides a concise introduction of the landscape of CR technology. The author covers in detail the dynamic resource allocation problem for the motivations and challenges in CR systems. The Spectral- and Energy-Efficient resource allocation schemes are comprehensively investigated, including new insights into the trade-off

  10. resource allocation methodology for internet heterogeneous traffic

    Dr Obe

    RESOURCE ALLOCATION METHODOLOGY FOR INTERNET. HETEROGENEOUS ... control, III this case, involves determining the optimum network resources - in terms ..... Oriented Network Simulator) Designer” a business. Unit of Cadence ...

  11. Adaptive computational resource allocation for sensor networks

    WANG Dian-hong; FEI E; YAN Yu-jie


    To efficiently utilize the limited computational resource in real-time sensor networks, this paper focu-ses on the challenge of computational resource allocation in sensor networks and provides a solution with the method of economies. It designs a mieroeconomic system in which the applications distribute their computational resource consumption across sensor networks by virtue of mobile agent. Further, it proposes the market-based computational resource allocation policy named MCRA which satisfies the uniform consumption of computational energy in network and the optimal division of the single computational capacity for multiple tasks. The simula-tion in the scenario of target tracing demonstrates that MCRA realizes an efficient allocation of computational re-sources according to the priority of tasks, achieves the superior allocation performance and equilibrium perform-ance compared to traditional allocation policies, and ultimately prolongs the system lifetime.

  12. Dynamic cache resources allocation for energy efficiency

    CHEN Li-ming; ZOU Xue-cheng; LEI Jian-ming; LIU Zheng-lin


    This article proposes a mechanism of low overhead and less runtime, termed dynamic cache resources allocation (DCRA), which allocates each application with required cache resources. The mechanism collects cache hit-miss information at runtime and then analyzes the information and decides how many cache resources should be allocated to the current executing application. The amount of cache resources varies dynamically to reduce the total number of misses and energy consumption. The study of several applications from SPEC2000 shows that significant energy saving is achieved for the application based on the DCRA with an average of 39% savings.

  13. Resource Allocation Problems with Concave Reward Functions

    Grundel, S.; Borm, P.E.M.; Hamers, H.J.M.


    Abstract: In a resource allocation problem there is a common-pool resource, which has to be divided among agents. Each agent is characterized by a claim on this pool and an individual concave reward function on assigned resources. An assignment of resources is optimal if the total joint reward is ma

  14. Human Resource Subjects Allocation and Students' Academic ...

    Human Resource Subjects Allocation and Students' Academic Performance in ... AFRICAN JOURNALS ONLINE (AJOL) · Journals · Advanced Search · USING AJOL ... while the dependent variables were students' academic performance.

  15. Achievements and Challenges of Resource Allocation for Health in ...

    Achievements and Challenges of Resource Allocation for Health in a ... and challenges of a resource allocation process in a decentralized health system in ... planning and management aspects for the allocation of financial resources from the ...

  16. Healthcare resource allocation decisions affecting uninsured services

    Harrison, Krista Lyn; Taylor, Holly A.


    Purpose Using the example of community access programs (CAPs), the purpose of this paper is to describe resource allocation and policy decisions related to providing health services for the uninsured in the USA and the organizational values affecting these decisions. Design/methodology/approach The study used comparative case study methodology at two geographically diverse sites. Researchers collected data from program documents, meeting observations, and interviews with program stakeholders. Findings Five resource allocation or policy decisions relevant to providing healthcare services were described at each site across three categories: designing the health plan, reacting to funding changes, and revising policies. Organizational values of access to care and stewardship most frequently affected resource allocation and policy decisions, while economic and political pressures affect the relative prioritization of values. Research limitations/implications Small sample size, the potential for social desirability or recall bias, and the exclusion of provider, member or community perspectives beyond those represented among participating board members. Practical implications Program directors or researchers can use this study to assess the extent to which resource allocation and policy decisions align with organizational values and mission statements. Social implications The description of how healthcare decisions are actually made can be matched with literature that describes how healthcare resource decisions ought to be made, in order to provide a normative grounding for future decisions. Originality/value This study addresses a gap in literature regarding how CAPs actually make resource allocation decisions that affect access to healthcare services. PMID:27934550

  17. Behind the Resource Domino. Part II: Allocation

    Thiemann, F. C.; Bumbarger, C. S.


    Discusses the problem of allocation and acquisition of resources from an administrative point of view. Suggests that an administrator's accountability as a leader is fixed in how efficiently and effectively resources are deployed in the organizational goal attainment efforts. (Author/DN)

  18. Behind the Resource Domino. Part II: Allocation

    Thiemann, F. C.; Bumbarger, C. S.


    Discusses the problem of allocation and acquisition of resources from an administrative point of view. Suggests that an administrator's accountability as a leader is fixed in how efficiently and effectively resources are deployed in the organizational goal attainment efforts. (Author/DN)

  19. Allocation of Cognitive Resources in Translation

    Hvelplund, Kristian Tangsgaard

    The present study is an empirical investigation of translators' allocation of cognitive resources during the translation process, and it aims at investigating how translators' mental processing resources are put to use during translation. The study bases ts analyses on quantitative eye-tracking...

  20. Discussion of Optimal Allocation of Resources Theory for Communication Enterprises

    JIN Xiao-lin; YU Hua; SU Hua-ying


    The theory on the resource optimal allocation is discussed in this article. On the base of the discussion, for the main problems existing in the resource allocation of communication enterprises, the reasonable allocating measures are put forward.

  1. Reducing LTE Uplink Transmission Energy by Allocating Resources

    Lauridsen, Mads; Jensen, Anders Riis; Mogensen, Preben


    The effect of physical resource block (PRB) allocation on an LTE modem's transmit power and total modem energy consumption is examined. In this paper the uplink resource blocks are scheduled in either a Frequency Division Multiple Access (FDMA) or Time Division Multiple Access (TDMA) manner......, to determine if low transmission power & long transmission time or high transmission power & short transmission time is most energy efficient. It is important to minimize the LTE modem's energy consumption caused by uplink transmission because it affects phone battery time, and because researchers rarely focus...

  2. Robust resource allocation in future wireless networks

    Parsaeefard, Saeedeh; Mokari, Nader


    This book presents state-of-the-art research on robust resource allocation in current and future wireless networks. The authors describe the nominal resource allocation problems in wireless networks and explain why introducing robustness in such networks is desirable. Then, depending on the objectives of the problem, namely maximizing the social utility or the per-user utility, cooperative or competitive approaches are explained and their corresponding robust problems are considered in detail. For each approach, the costs and benefits of robust schemes are discussed and the algorithms for reducing their costs and improving their benefits are presented. Considering the fact that such problems are inherently non-convex and intractable, a taxonomy of different relaxation techniques is presented, and applications of such techniques are shown via several examples throughout the book. Finally, the authors argue that resource allocation continues to be an important issue in future wireless networks, and propose spec...

  3. Optimality versus stability in water resource allocation.

    Read, Laura; Madani, Kaveh; Inanloo, Bahareh


    Water allocation is a growing concern in a developing world where limited resources like fresh water are in greater demand by more parties. Negotiations over allocations often involve multiple groups with disparate social, economic, and political status and needs, who are seeking a management solution for a wide range of demands. Optimization techniques for identifying the Pareto-optimal (social planner solution) to multi-criteria multi-participant problems are commonly implemented, although often reaching agreement for this solution is difficult. In negotiations with multiple-decision makers, parties who base decisions on individual rationality may find the social planner solution to be unfair, thus creating a need to evaluate the willingness to cooperate and practicality of a cooperative allocation solution, i.e., the solution's stability. This paper suggests seeking solutions for multi-participant resource allocation problems through an economics-based power index allocation method. This method can inform on allocation schemes that quantify a party's willingness to participate in a negotiation rather than opt for no agreement. Through comparison of the suggested method with a range of distance-based multi-criteria decision making rules, namely, least squares, MAXIMIN, MINIMAX, and compromise programming, this paper shows that optimality and stability can produce different allocation solutions. The mismatch between the socially-optimal alternative and the most stable alternative can potentially result in parties leaving the negotiation as they may be too dissatisfied with their resource share. This finding has important policy implications as it justifies why stakeholders may not accept the socially optimal solution in practice, and underlies the necessity of considering stability where it may be more appropriate to give up an unstable Pareto-optimal solution for an inferior stable one. Authors suggest assessing the stability of an allocation solution as an

  4. Aircraft Stand Allocation with Associated Resource Scheduling

    Justesen, Tor Fog; Larsen, Jesper; Lusby, Richard Martin

    An aircraft turn-round refers to the set of processes taking place from when an aircraft parks at its arrival stand until the time it departs from its departure stand. When handling a turn-round, the different processes involved (arrival, disembarkation of passengers, cleaning, etc.) require...... different ground handling resources (taxiways, aircraft stands, gates, etc) at different times. Each resource can be claimed by at most one turn-round at a time. The aircraft stand allocation problem with associated resource scheduling is the problem of allocating the required ground handling resources...... to handle a given set of aircraft turn-rounds. We develop a set packing-based model formulation of the problem which is both flexible in the sense that it can encapsulate any type of resource required during the handling of a turn-round and strong in the sense that conflicts that occur when two or more turn...

  5. Competing Principles for Allocating Health Care Resources.

    Carter, Drew; Gordon, Jason; Watt, Amber M


    We clarify options for conceptualizing equity, or what we refer to as justice, in resource allocation. We do this by systematically differentiating, expounding, and then illustrating eight different substantive principles of justice. In doing this, we compare different meanings that can be attributed to "need" and "the capacity to benefit" (CTB). Our comparison is sharpened by two analytical tools. First, quantification helps to clarify the divergent consequences of allocations commended by competing principles. Second, a diagrammatic approach developed by economists Culyer and Wagstaff offers a visual and conceptual aid. Of the eight principles we illustrate, only two treat as relevant both a person's initial health state and a person's CTB per resource unit expended: (1) allocate resources so as to most closely equalize final health states and (2) allocate resources so as to equally restore health states to population norms. These allocative principles ought to be preferred to the alternatives if one deems relevant both a person's initial health state and a person's CTB per resource unit expended. Finally, we examine some possibilities for conceptualizing benefits as relative to how badly off someone is, extending Parfit's thought on Prioritarianism (a prioritizing of the worst off). Questions arise as to how much intervention effects accruing to the worse off count for more and how this changes with improving health. We explicate some recent efforts to answer these questions, including in Dutch and British government circles. These efforts can be viewed as efforts to operationalize need as an allocative principle. Each effort seeks to maximize in the aggregate quanta of effect that are differentially valued in favor of the worst off. In this respect, each effort constitutes one type of Prioritarianism, which Parfit failed to differentiate from other types.

  6. Resource pooling for frameless network architecture with adaptive resource allocation

    XU XiaoDong; WANG Da; TAO XiaoFeng; SVENSSON Tommy


    The system capacity for future mobile communication needs to be increased to fulfill the emerging requirements of mobile services and innumerable applications. The cellular topology has for long been regarded as the most promising way to provide the required increase in capacity. However with the emerging densification of cell deployments, the traditional cellular structure limits the efficiency of the resource, and the coordination between different types of base stations is more complicated and entails heavy cost. Consequently, this study proposes frameless network architecture (FNA) to release the cell boundaries, enabling the topology needed to implement the FNA resource allocation strategy. This strategy is based on resource pooling incorporating a new resource dimension-antenna/antenna array. Within this architecture, an adaptive resource allocation method based on genetic algorithm is proposed to find the optimal solution for the multi-dimensional resource allocation problem. Maximum throughput and proportional fair resource allocation criteria are considered. The simulation results show that the proposed architecture and resource allocation method can achieve performance gains for both criteria with a relatively low complexity compared to existing schemes.

  7. Ethics and resource allocation: an economist's view.

    McGuire, A


    This paper debates some of the issues involved in attempting to apply economic analysis to the health care sector when medical ethics plays such an important part in determining the allocation of resources in that sector. Two distinct ethical positions are highlighted as being fundamental to the understanding of resource allocation in this sector -- deontological and utilitarian theories of ethics. It is argued that medical ethics are often narrowly conceived in that there is a tendency for the individual, rather than society at large, to form the focal point of the production of the service "health care'. Thus medical ethics have been dominated by individualistic ethical coded which do not fully consider questions relating to resource allocation at a social level. It is further argued that the structure of the health care sector augments these "individualistic' ethics. It is also suggested that different actors in the health care sector address questions of resource allocation with respect to different time periods, and that this serves to further enhance the influence of "individualistic' ethical codes in this sector.

  8. RAOPS: Resource Allocation Optimization Program for Safegurards

    Zardecki, A.; Markin, J.T.


    RAOPS--Resource Allocation Optimization Program for Safeguards is extended to a multiobjective return function having the detection probability and expected detection time as criteria. The expected detection time is included as a constraint, based on the well-known Avenhaus model of the optimum number of inventory periods. Examples of computation are provided.

  9. Administrative Decision Making and Resource Allocation.

    Sardy, Susan; Sardy, Hyman

    This paper considers selected aspects of the systems analysis of administrative decisionmaking regarding resource allocations in an educational system. A model of the instructional materials purchase system is presented. The major components of this model are: environment, input, decision process, conversion structure, conversion process, output,…

  10. Traffic resource allocation for complex networks

    Ling Xiang; Hu Mao-Bin; Long Jian-Cheng; Ding Jian-Xun; Shi Qin


    In this paper,an optimal resource allocation strategy is proposed to enhance traffic dynamics in complex networks.The network resources are the total node packet-delivering capacity and the total link bandwidth.An analytical method is developed to estimate the overall network capacity by using the concept of efficient betweenness (ratio of algorithmic betweenness and local processing capacity).Three network structures (scale-free,small-world,and random networks) and two typical routing protocols (shortest path protocol and efficient routing protocol) are adopted to demonstrate the performance of the proposed strategy.Our results show that the network capacity is reversely proportional to the average path length for a particular routing protocol and the shortest path protocol can achieve the largest network capacity when the proposed resource allocation strategy is adopted.

  11. Optimal Joint Multiple Resource Allocation Method for Cloud Computing Environments

    Kuribayashi, Shin-ichi


    Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources. To provide cloud computing services economically, it is important to optimize resource allocation under the assumption that the required resource can be taken from a shared resource pool. In addition, to be able to provide processing ability and storage capacity, it is necessary to allocate bandwidth to access them at the same time. This paper proposes an optimal resource allocation method for cloud computing environments. First, this paper develops a resource allocation model of cloud computing environments, assuming both processing ability and bandwidth are allocated simultaneously to each service request and rented out on an hourly basis. The allocated resources are dedicated to each service request. Next, this paper proposes an optimal joint multiple resource allocation method, based on the above resource allocation model. It is demonstrated by simulation evaluation that the p...

  12. Negotiating Socially Optimal Allocations of Resources

    Endriss, U; Sadri, F; Toni, F; 10.1613/jair.1870


    A multiagent system may be thought of as an artificial society of autonomous software agents and we can apply concepts borrowed from welfare economics and social choice theory to assess the social welfare of such an agent society. In this paper, we study an abstract negotiation framework where agents can agree on multilateral deals to exchange bundles of indivisible resources. We then analyse how these deals affect social welfare for different instances of the basic framework and different interpretations of the concept of social welfare itself. In particular, we show how certain classes of deals are both sufficient and necessary to guarantee that a socially optimal allocation of resources will be reached eventually.

  13. Proactive Resource Allocation: Turning Predictable Behavior into Spectral Gain

    El-Gamal, Hesham; Eryilmaz, Atilla


    This paper introduces the novel concept of proactive resource allocation in which the predictability of user behavior is exploited to balance the wireless traffic over time, and hence, significantly reduce the bandwidth required to achieve a given blocking/outage probability. We start with a simple model in which the smart wireless devices are assumed to predict the arrival of new requests and submit them to the network T time slots in advance. Using tools from large deviation theory, we quantify the resulting prediction diversity gain to establish that the decay rate of the outage event probabilities increases linearly with the prediction duration T. This model is then generalized to incorporate the effect of prediction errors and the randomness in the prediction lookahead time T. Remarkably, we also show that, in the cognitive networking scenario, the appropriate use of proactive resource allocation by the primary users results in more spectral opportunities for the secondary users at a marginal, or no, cos...

  14. Biomass Resource Allocation among Competing End Uses

    Newes, E.; Bush, B.; Inman, D.; Lin, Y.; Mai, T.; Martinez, A.; Mulcahy, D.; Short, W.; Simpkins, T.; Uriarte, C.; Peck, C.


    The Biomass Scenario Model (BSM) is a system dynamics model developed by the U.S. Department of Energy as a tool to better understand the interaction of complex policies and their potential effects on the biofuels industry in the United States. However, it does not currently have the capability to account for allocation of biomass resources among the various end uses, which limits its utilization in analysis of policies that target biomass uses outside the biofuels industry. This report provides a more holistic understanding of the dynamics surrounding the allocation of biomass among uses that include traditional use, wood pellet exports, bio-based products and bioproducts, biopower, and biofuels by (1) highlighting the methods used in existing models' treatments of competition for biomass resources; (2) identifying coverage and gaps in industry data regarding the competing end uses; and (3) exploring options for developing models of biomass allocation that could be integrated with the BSM to actively exchange and incorporate relevant information.

  15. Discrete resource allocation in visual working memory.

    Barton, Brian; Ester, Edward F; Awh, Edward


    Are resources in visual working memory allocated in a continuous or a discrete fashion? On one hand, flexible resource models suggest that capacity is determined by a central resource pool that can be flexibly divided such that items of greater complexity receive a larger share of resources. On the other hand, if capacity in working memory is defined in terms of discrete storage "slots," then observers may be able to determine which items are assigned to a slot but not how resources are divided between stored items. To test these predictions, the authors manipulated the relative complexity of the items to be stored while holding the number items constant. Although mnemonic resolution declined when set size increased (Experiment 1), resolution for a given item was unaffected by large variations in the complexity of the other items to be stored when set size was held constant (Experiments 2-4). Thus, resources in visual working memory are distributed in a discrete slot-based fashion, even when interitem variations in complexity motivate an asymmetrical division of resources across items. PsycINFO Database Record (c) 2009 APA, all rights reserved.

  16. Combat Resource Allocation Planning in Naval Engagements


    Valcartier; August 2007. Management of tactical combat resources, as a part of military naval Command & Con- trol (C2) process , provides a real world multi...systèmes d’agents et multi-agents est présentée et les problèmes de planifi - cation en temps réel et de l’allocation des ressources sont abordé to be processed under time-critical conditions pose significant challenges for future shipboard Command & Control Systems (CCSs). Among other

  17. Resources Allocation Schemas for Web Information Monitoring

    CHEN Kang; SHEN Meiming; ZHENG Weimin


    The web is an extremely dynamic world where information is updated even every second. A web information monitoring system fetches information from the web continuously and finds changes by comparing two versions of the same page. The updating of a specific web page is modeled as a Poisson process with parameter to indicate the change frequency. As the amount of computing resources is limited, it is necessary to find some policies for reducing the overall change-detection time. Different allocation schemas are evaluated experimentally to find out which one is the most suitable for the web information monitoring problem. The experimental data shows the runtime characteristics of the overall system performance and the relationship to the total amount of resources.

  18. Resource Allocation of Agricultural Science and Technology R&D


    The status quo of resource allocation of agricultural science and technology R&D(research and development)both at home and abroad,including the amount and function of agricultural science and technology research funds,human resources in the resources of agricultural science and technology R&D,the efficiency of resource allocation of agricultural science and technology R&D,the management system of agricultural scientific innovation and the operation status of scientific funds,is analyzed.The problems in the current resource allocation of agricultural science and technology R&D are put forward,including unreasonable resource allocation;low efficiency,and low efficiency of the transformation of agricultural scientific achievements.The highly effective resource allocation of agricultural science and technology R&D is analyzed from the aspects of resource allocation structure,environment,channel,spatial layout and industrial chain.


    Yu Jia; Zong Peng


    As the traffic distribution in China mainland is far from uniform,a new traffic model in China mainland is presented on the basis of per-capita Gross Domestic Product (GDP) and density of population.Based on this characteristic traffic model,a new Traffic Dependent Dynamic Channel Allocation and Reservation (TDDCAR) technique is proposed,the simulation model is built,and the strategies' performance is evaluated through computer simulation.The simulation results show that,compared to the conventional Fixed Channel Allocation (FCA),TDDCAR estimates the traffic conditions in every spot beam and frequently adjusts the traffic according to current traffic conditions.Ithas achieved a significant improvement in new call blocking probability,handover blocking probability,and fair index,particularly,in heavy traffic conditions.The building of traffic model in China mainland and the analysis of the simulation results has been a key foundation for the study of resource allocation schemes in the future.

  20. Simplifying rules for optimal allocation of preventive care resources.

    Gandjour, Afschin


    Given the limited resources for preventive care, policy-makers need to consider the efficiency/cost-effectiveness of preventive measures, such as drugs and vaccines, when allocating preventive care resources. However, in many settings only limited information on lifetime costs and effects of preventive measures exists. Therefore, it seems useful to provide policy-makers with some simplifying rules when allocating preventive care resources. The purpose of this article is to investigate the relevance of risk and severity of the disease to be prevented for the optimal allocation of preventive care resources. The report shows - based on a constrained optimization model - that optimal allocation of preventive care resources does, in fact, depend on both factors. Resources should be allocated to the prevention of diseases with a higher probability of occurrence or larger severity. This article also identifies situations where preventive care resources should be allocated to the prevention of less severe disease.

  1. Location-Based Resource Allocation for OFDMA

    Ghorbel, Mahdi


    Cognitive radio is one of the hot topics for emerging and future wireless communication. It has been proposed as a suitable solution for the spectrum scarcity caused by the increase in frequency demand. The concept is based on allowing unlicensed users, called cognitive or secondary users, to share the unoccupied frequency bands with their owners, called the primary users, under constraints on the interference they cause to them. In order to estimate this interference, the cognitive system usually uses the channel state information to the primary user, which is often impractical to obtain. However, we propose to use location information, which is easier to obtain, to estimate this interference. The purpose of this work is to propose a subchannel and power allocation method which maximizes the secondary users\\' total capacity under the constraints of limited budget power and total interference to the primary under certain threshold. We model the problem as a constrained optimization problem for both downlink and uplink cases. Then, we propose low-complexity resource allocation schemes based on the waterfilling algorithm. The simulation results show the efficiency of the proposed method with comparison to the exhaustive search algorithm.

  2. Cognitive radio resource allocation based on coupled chaotic genetic algorithm

    Zu Yun-Xiao; Zhou Jie; Zeng Chang-Chang


    A coupled chaotic genetic algorithm for cognitive radio resource allocation which is based on genetic algorithm and coupled Logistic map is proposed. A fitness function for cognitive radio resource allocation is provided. Simulations are conducted for cognitive radio resource allocation by using the coupled chaotic genetic algorithm, simple genetic algorithm and dynamic allocation algorithm respectively. The simulation results show that, compared with simple genetic and dynamic allocation algorithm, coupled chaotic genetic algorithm reduces the total transmission power and bit error rate in cognitive radio system, and has faster convergence speed.

  3. Cognitive radio resource allocation based on coupled chaotic genetic algorithm

    Zu, Yun-Xiao; Zhou, Jie; Zeng, Chang-Chang


    A coupled chaotic genetic algorithm for cognitive radio resource allocation which is based on genetic algorithm and coupled Logistic map is proposed. A fitness function for cognitive radio resource allocation is provided. Simulations are conducted for cognitive radio resource allocation by using the coupled chaotic genetic algorithm, simple genetic algorithm and dynamic allocation algorithm respectively. The simulation results show that, compared with simple genetic and dynamic allocation algorithm, coupled chaotic genetic algorithm reduces the total transmission power and bit error rate in cognitive radio system, and has faster convergence speed.

  4. Vaccines: from valuation to resource allocation.

    Bloom, David E; Madhavan, Guruprasad


    This review focuses on selected challenges and opportunities concerning broader valuation of vaccines and immunization. The challenges involve conceptualizing and measuring the value of vaccines, while the opportunities relate to the strategic and systematic use of that information in health policy decisions that range from the adoption of particular vaccines in national immunization plans to the allocation of resources to vaccine research, development, and delivery. Clarifying the demonstrable individual, family, and community-level benefits of vaccines will allow the public health community to make better-informed and more meaningful comparisons of the costs of vaccines in relation to their full benefits. Taking advantage of this opportunity will require enhanced data collection and the development of strategic planning tools for transparently assessing trade-offs among the myriad attributes of different vaccines in various social and economic contexts. Copyright © 2015 Elsevier Ltd. All rights reserved.

  5. Resource Allocation Among Agents with MDP-Induced Preferences

    Dolgov, D A; 10.1613/jair.2102


    Allocating scarce resources among agents to maximize global utility is, in general, computationally challenging. We focus on problems where resources enable agents to execute actions in stochastic environments, modeled as Markov decision processes (MDPs), such that the value of a resource bundle is defined as the expected value of the optimal MDP policy realizable given these resources. We present an algorithm that simultaneously solves the resource-allocation and the policy-optimization problems. This allows us to avoid explicitly representing utilities over exponentially many resource bundles, leading to drastic (often exponential) reductions in computational complexity. We then use this algorithm in the context of self-interested agents to design a combinatorial auction for allocating resources. We empirically demonstrate the effectiveness of our approach by showing that it can, in minutes, optimally solve problems for which a straightforward combinatorial resource-allocation technique would require the ag...

  6. Flexible resource allocation during plant defense responses

    Jack C. Schultz


    Full Text Available Plants are organisms composed of modules connected by xylem and phloem transport streams. Attack by both insects and pathogens elicits sometimes rapid defense responses in the attacked module. We have also known for some time that proteins are often reallocated away from pathogen-infected tissues, while the same infection sites may draw carbohydrates to them. This has been interpreted as a tug of war in which the plant withdraws critical resources to block microbial growth while the microbes attempt to acquire more resources. Sink-source regulated transport among modules of critical resources, particularly carbon and nitrogen, is also altered in response to attack. Insects and jasmonate can increase local sink strength, drawing carbohydrates that support defense production. Shortly after attack, carbohydrates may also be drawn to the root. The rate and direction of movement of photosynthate or signals in phloem in response to attack is subject to constraints that include branching, degree of connection among tissues, distance between sources and sinks, proximity, strength, and number of competing sinks, and phloem loading/unloading regulators. Movement of materials (e.g., amino acids, signals to or from attack sites in xylem is less well understood but is partly driven by transpiration. The root is an influential sink and may regulate sink-source interactions and transport above and below ground as well as between the plant and the rhizosphere and nearby, connected plants. Research on resource translocation in response to pathogens or herbivores has focused on biochemical mechanisms; whole-plant research is needed to determine which, if any, of these plant behaviors actually influence plant fitness.

  7. Resource Allocation Models and Accountability: A Jamaican Case Study

    Nkrumah-Young, Kofi K.; Powell, Philip


    Higher education institutions (HEIs) may be funded privately, by the state or by a mixture of the two. Nevertheless, any state financing of HE necessitates a mechanism to determine the level of support and the channels through which it is to be directed; that is, a resource allocation model. Public funding, through resource allocation models,…

  8. Proactive Resource Allocation: Harnessing the Diversity and Multicast Gains

    Tadrous, John; Gamal, Hesham El


    This paper introduces the novel concept of proactive resource allocation through which the predictability of user behavior is exploited to balance the wireless traffic over time, and hence, significantly reduce the bandwidth required to achieve a given blocking/outage probability. We start with a simple model in which the smart wireless devices are assumed to predict the arrival of new requests and submit them to the network T time slots in advance. Using tools from large deviation theory, we quantify the resulting prediction diversity gain} to establish that the decay rate of the outage event probabilities increases with the prediction duration T. This model is then generalized to incorporate the effect of the randomness in the prediction look-ahead time T. Remarkably, we also show that, in the cognitive networking scenario, the appropriate use of proactive resource allocation by the primary users improves the diversity gain of the secondary network at no cost in the primary network diversity. We also shed l...

  9. 4G femtocells resource allocation and interference management

    Zhang, Haijun; Wen, Xiangming


    This brief examines resource allocation and interference management for 4G femtocells. It introduces 4G femtocells in the context of 4G mobile networks and discusses related technical challenges in resource allocation and interference management. Topics include ant colony algorithm based downlink resource allocation, intelligent scheduling and power control, uplink and downlink for two-tier networks, quality of service (QoS) constraints and the cross-tier interference constraint. The authors present algorithms to alleviate common femtocell-related problems such as subchannel power allocation. The complexity of the proposed resource allocation algorithms is analyzed, and the effectiveness of the proposed algorithms is verified by simulations. This concise and practical book directly addresses common problems relating to femtocells and resource management. It serves as a useful tool for researchers in the field. Advanced-level students or professionals interested in femtocells and networks will also find the co...

  10. Thematic Mapper data for forest resource allocation

    Zeff, Ilene S.; Merry, Carolyn J.


    A technique for classifying a Landsat Thematic Mapper image was demonstrated on the Wayne National Forest of southeastern Ohio. The classified image was integrated into a geographic information system database, and prescriptive forest land use allocation models were developed using the techniques of cartographic modeling. Timber harvest sites and accompanying haul roads were allocated.

  11. Multisorted Tree-Algebras for Hierarchical Resources Allocation

    Erick Patrick Zobo


    Full Text Available This paper presents a generic abstract model for the study of disparities between goals and results in hierarchical multiresources allocation systems. In an organization, disparities in resource allocation may occur, when, after comparison of a resource allocation decision with an allocation reference goal or property, some agents have surplus resources to accomplish their tasks, while at the same time other agents have deficits of expected resources. In the real world, these situations are frequently encountered in organizations facing scarcity of resources and/or inefficient management. These disparities can be corrected using allocation decisions, by measuring and reducing gradually such disparities and their related costs, without totally canceling the existing resource distribution. While a lot of research has been carried out in the area of resource allocation, this specific class of problems has not yet been formally studied. The paper exposes the results of an exploratory research study of this class of problems. It identifies the commonalities of the family of hierarchical multiresource allocation systems and proposes the concept of multisorted tree-algebra for the modeling of these problems. The research presented here is not yet an in-depth descriptive research study of the mathematical theory of multisorted tree-algebra, but a formal study on modelling hierarchical multiresource allocation problems.

  12. Adaptive Resource Allocation and Internet Traffic Engineering on Data Network

    Hatim Hussein


    Full Text Available This research paper describes the issues of bandwid th allocation, optimum capacity allocation, network operational cost reduction, and improve Int ernet user experience. Traffic engineering (TE is used to manipulate network traffic to achie ve certain requirements and meets certain needs. TE becomes one of the most important buildin g blocks in the design of the Internet backbone infrastructure. Research objective: effici ent allocation of bandwidth across multiple paths. Optimum path selection. Minimize network tra ffic delays and maximize bandwidth utilization over multiple network paths. The bandwi dth allocation is performed proportionally over multiple paths based on the path capacity.

  13. Exploring coordinated software and hardware support for hardware resource allocation

    Figueiredo Boneti, Carlos Santieri de


    Multithreaded processors are now common in the industry as they offer high performance at a low cost. Traditionally, in such processors, the assignation of hardware resources between the multiple threads is done implicitly, by the hardware policies. However, a new class of multithreaded hardware allows the explicit allocation of resources to be controlled or biased by the software. Currently, there is little or no coordination between the allocation of resources done by the hardware and the p...

  14. Optimal resource allocation in random networks with transportation bandwidths

    Yeung, C. H.; Wong, K. Y. Michael


    We apply statistical physics to study the task of resource allocation in random sparse networks with limited bandwidths for the transportation of resources along the links. Recursive relations from the Bethe approximation are converted into useful algorithms. Bottlenecks emerge when the bandwidths are small, causing an increase in the fraction of idle links. For a given total bandwidth per node, the efficiency of allocation increases with the network connectivity. In the high connectivity limit, we find a phase transition at a critical bandwidth, above which clusters of balanced nodes appear, characterized by a profile of homogenized resource allocation similar to the Maxwell construction.

  15. Suboptimal Rate Adaptive Resource Allocation for Downlink OFDMA Systems

    Sanam Sadr


    Full Text Available This paper aims to study the performance of low complexity adaptive resource allocation in the downlink of OFDMA systems with fixed or variable rate requirements (with fairness consideration. Two suboptimal resource allocation algorithms are proposed using the simplifying assumption of transmit power over the entire bandwidth. The objective of the first algorithm is to maximize the total throughput while maintaining rate proportionality among the users. The proposed suboptimal algorithm prioritizes the user with the highest sensitivity to the subcarrier allocation, and the variance over the subchannel gains is used to define the sensitivity of each user. The second algorithm concerns rate adaptive resource allocation in multiuser systems with fixed rate constraints. We propose a suboptimal joint subchannel and power allocation algorithm which prioritizes the users with the highest required data rates. The main feature of this algorithm is its low complexity while achieving the rate requirements.

  16. Downlink resource allocation for multichannel TDMA visible light communications

    Abdelhady, Amr M.


    Optical wireless communications (OWC) in general and resource allocation in OWC networks particularly have gained lots of attention recently. In this work, we consider the resource allocation problem of a visible light communication downlink transmission system based on time division multiple access with the objective of maximizing spectral efficiency (SE). As for the operational conditions, we impose constraints on the average optical intensity, the energy consumption and the quality-of-service. To solve the non-convex problem, we transform the objective function into a difference of concave functions by solving a second order differential inequality. Then, we propose a low-complexity algorithm to solve the resource allocation problem. Finally, we show by simulations the SE performance gains achieved by optimizing the power allocation over equal power allocation in the considered system. Numerical results show the SE gains achieved by using this solution.

  17. Resource allocation in circuit-switched all-optical networks

    Marquis, Douglas; Barry, Richard A.; Finn, Steven G.; Parikh, Salil A.; Swanson, Eric A.; Thomas, Robert E.


    We describe an all-optical network testbed deployed in the Boston area, and research surrounding the allocation of optical resources -- frequencies and time slots -- within the network. The network was developed by a consortium of AT&T Bell Laboratories, Digital Equipment Corporation, and Massachusetts Institute of Technology under a grant from ARPA. The network is organized as a hierarchy consisting of local, metropolitan, and wide area nodes tea support optical broadcast and routing modes. Frequencies are shared and reused to enhance network scalability. Electronic access is provided through optical terminals that support multiple services having data rates between 10 Mbps/user and 10 Gbps/user. Of particular interest for this work is the 'B-service,' which simultaneously hops frequency and time slots on each optical terminal to allow frequency sharing within the AON. B-service provides 1.244 Gbps per optical terminal, with bandwidth for individual connections divided in increments as small as 10 Mbps. We have created interfaces between the AON and commercially available electronic circuit-switched and packet-switched networks. The packet switches provide FDDI (datacomm), T3 (telecomm), and ATM/SONET switching at backplane rates of over 3 Gbps. We show results on network applications that dynamically allocate optical bandwidth between electronic packet-switches based on the offered load presented by users. Bandwidth allocation granularity is proportional to B-Service slots (10-1244 Mbps), and switching times are on the order of one second. We have also studied the effects of wavelength changers upon the network capacity and blocking probabilities in wide area all-optical networks. Wavelength changers allow a change in the carrier frequency (within the network) without disturbing the data modulation. The study includes both a theoretical model of blocking probabilities based on network design parameters, and a computer simulation of blocking in networks with and

  18. Adaptive Resource Allocation for the PB/MC-CDMA System in Frequency Selective Fading Channels

    Lee, Kyujin; Lee, Kyesan

    We propose Adaptive Resource Allocation for the Partial Block MC-CDMA (ARA-PB/MC-CDMA) system. The ARA-PB/MC-CDMA system aims to improve total throughput performance and frequency efficiency across various channel conditions. It adaptively changes the number of blocks to improve the throughput performance and frequency efficiency according to the Signal to Interference Ratio (SIR). Therefore, the proposed system supports various Quality of Service (QoS) requirements for various SIR values.

  19. Strategically Allocating Resources to Support Teaching and Learning

    Lynch, Matthew


    As the enduring economic recession forces state and local governments to cut education budgets, astute allocation of resources is becoming more important. The author analyses three basic categories of educational resources: money, human capital, and time before moving to a discussion of resources as a component of school reform. The author…

  20. A distributed resource allocation algorithm for many processes

    Hesselink, Wim H.


    Resource allocation is the problem that a process may enter a critical section CS of its code only when its resource requirements are not in conflict with those of other processes in their critical sections. For each execution of CS, these requirements are given anew. In the resource requirements, l

  1. A distributed resource allocation algorithm for many processes

    Hesselink, Wim H.

    Resource allocation is the problem that a process may enter a critical section CS of its code only when its resource requirements are not in conflict with those of other processes in their critical sections. For each execution of CS, these requirements are given anew. In the resource requirements,

  2. Theory and model of water resources complex adaptive allocation system

    ZHAOJianshi; WANGZhongjing; WENGWenbin


    Complex adaptive system theory is a new and important embranchment of system science,which provides a new thought to research water resources allocation system.Based on the analysis of complexity and complex adaptive mechanism of water resources allocation system,a fire-new analysis model is presented in this paper.With the description of Dynamical mechanism of system,behavior characters of agents and the evalustion method of system status,an integrity research system is built to analyse the evolvement rule of water resources allocation system.And a brief research for the impact of water resources allocation in beneficial regions of the Water Transfer from south to North China Project is conducted.

  3. Dynamic computing resource allocation in online flood monitoring and prediction

    Kuchar, S.; Podhoranyi, M.; Vavrik, R.; Portero, A.


    This paper presents tools and methodologies for dynamic allocation of high performance computing resources during operation of the Floreon+ online flood monitoring and prediction system. The resource allocation is done throughout the execution of supported simulations to meet the required service quality levels for system operation. It also ensures flexible reactions to changing weather and flood situations, as it is not economically feasible to operate online flood monitoring systems in the full performance mode during non-flood seasons. Different service quality levels are therefore described for different flooding scenarios, and the runtime manager controls them by allocating only minimal resources currently expected to meet the deadlines. Finally, an experiment covering all presented aspects of computing resource allocation in rainfall-runoff and Monte Carlo uncertainty simulation is performed for the area of the Moravian-Silesian region in the Czech Republic.

  4. Intertemporal Resource Allocation and Income Tax Evasion Intertemporal Resource Allocation and Income Tax Evasion

    Osvaldo Schenone


    Full Text Available Intertemporal Resource Allocation and Income Tax Evasion The discrimination again a saving, in favour of present consumption, due to the income tar has been studied, at least, since the late thirties and was mentioned by John Stuart Mill more than a century ago.This paper is concerned with the effect of evading such a tax on the discrimination against savings and capital accumulation. In particular, we want to study a situation in which the probability of detecting an evader is an increasing function of his accumulated evasion in the past. This is consistent with the tax authorities being stricter in the control of taxpayers with a relatively high net wealth, with respect lo the incomes declared.

  5. Research advances on thereasonable water resources allocation in irrigation district

    Xuebin, Qi; Zhongdong, Huang; Dongmei, Qiao;


    be the focus in China in future research:More attention need to paid to studying the unified management policy and mechanism of water resources, studying the water resources cycle and transformation under environmental change, studying new methods for water resources carrying capacity and evaluation......The rational allocation of water resources for irrigation is important to improve the efficiency in utilization of water resources and ensuring food security, but also effective control measures need to be in place for the sustainable utilization of water resources in an irrigation area....... The progress of research on the rational allocation of water resources in irrigation districts both at home and abroad may be summarized in four key aspects of the policy regarding water re?sources management:① The mechanism of water resource cycle and ② Transformation in irrigation district, ③ The water...

  6. Resource Allocation in Heterogeneous Buffered Cognitive Radio Networks

    B. S. Awoyemi


    Full Text Available Resources available for operation in cognitive radio networks (CRN are generally limited, making it imperative for efficient resource allocation (RA models to be designed for them. However, in most RA designs, a significant limiting factor to the RA’s productivity has hitherto been mostly ignored, the fact that different users or user categories do have different delay tolerance profiles. To address this, in this paper, an appropriate RA model for heterogeneous CRN with delay considerations is developed and analysed. In the model, the demands of users are first categorised and then, based on the distances of users from the controlling secondary user base station and with the assumption that the users are mobile, the user demands are placed in different queues having different service capacities and the resulting network is analysed using queueing theory. Furthermore, to achieve optimality in the RA process, an important concept is introduced whereby some demands from one queue are moved to another queue where they have a better chance of enhanced service, thereby giving rise to the possibility of an improvement in the overall performance of the network. The performance results obtained from the analysis, particularly the blocking probability and network throughput, show that the queueing model incorporated into the RA process can help in achieving optimality for the heterogeneous CRN with buffered data.


    Su Yang; Xu Zhanqi; Zhao Ruiqin; Liu Zengji


    A layered network model for optical transport networks is proposed in this paper, which involves Internet Protocol (IP), Synchronous Digital Hierarchy (SDH) and Wavelength Division Multiplexing (WDM) layers. The strategy of Dynamic Joint Routing and Resource Allocation (DJRRA) and its algorithm description are also presented for the proposed layered network model. DJRRA optimizes the bandwidth usage of interface links between different layers and the logic links inside all layers. The simulation results show that DJRRA can reduce the blocking probability and increase network throughput effectively, which is in contrast to the classical separate sequential routing and resource allocation solutions.

  8. Radio resource allocation and dynamic spectrum access

    Benmammar , Badr


    We are currently witnessing an increase in telecommunications norms and standards given the recent advances in this field. The increasing number of normalized standards paves the way for an increase in the range of services available for each consumer. Moreover, the majority of available radio frequencies have already been allocated. This explains the emergence of cognitive radio (CR) - the sharing of the spectrum between a primary user and a secondary user.In this book, we will present the state of the art of the different techniques for spectrum access using cooperation and competit

  9. Process Completing Sequences for Resource Allocation Systems with Synchronization

    Song Foh Chew


    Full Text Available This paper considers the problem of establishing live resource allocation in workflows with synchronization stages. Establishing live resource allocation in this class of systems is challenging since deciding whether a given level of resource capacities is sufficient to complete a single process is NP-complete. In this paper, we develop two necessary conditions and one sufficient condition that provide quickly computable tests for the existence of process completing sequences. The necessary conditions are based on the sequence of completions of subprocesses that merge together at a synchronization. Although the worst case complexity is O(2, we expect the number of subprocesses combined at any synchronization will be sufficiently small so that total computation time remains manageable. The sufficient condition uses a reduction scheme that computes a sufficient capacity level of each resource type to complete and merge all subprocesses. The worst case complexity is O(⋅, where is the number of synchronizations. Finally, the paper develops capacity bounds and polynomial methods for generating feasible resource allocation sequences for merging systems with single unit allocation. This method is based on single step look-ahead for deadly marked siphons and is O(2. Throughout the paper, we use a class of Petri nets called Generalized Augmented Marked Graphs to represent our resource allocation systems.

  10. Resource allocation to reproduction in animals.

    Kooijman, Sebastiaan A L M; Lika, Konstadia


    The standard Dynamic Energy Budget (DEB) model assumes that a fraction κ of mobilised reserve is allocated to somatic maintenance plus growth, while the rest is allocated to maturity maintenance plus maturation (in embryos and juveniles) or reproduction (in adults). All DEB parameters have been estimated for 276 animal species from most large phyla and all chordate classes. The goodness of fit is generally excellent. We compared the estimated values of κ with those that would maximise reproduction in fully grown adults with abundant food. Only 13% of these species show a reproduction rate close to the maximum possible (assuming that κ can be controlled), another 4% have κ lower than the optimal value, and 83% have κ higher than the optimal value. Strong empirical support hence exists for the conclusion that reproduction is generally not maximised. We also compared the parameters of the wild chicken with those of races selected for meat and egg production and found that the latter indeed maximise reproduction in terms of κ, while surface-specific assimilation was not affected by selection. We suggest that small values of κ relate to the down-regulation of maximum body size, and large values to the down-regulation of reproduction. We briefly discuss the ecological context for these findings.

  11. A framework for resources allocation in virtualised C-RAN

    Al-Samman, Imad; Artuso, Matteo; Christiansen, Henrik Lehrmann


    the performance gains of different resource allocation schemes in legacy LTE air interface virtualization. Moreover Cloud — based mobile networks are anticipated to play a significant role for next generation mobile networks. This paper investigates the potential deployment benefits of a novel resource...... virtualization algorithm (Traffic Aware Joint Scheduling) in Cloud-RANs (C-RAN). Air interface resources are coordinated and allocated dynamically by a hypervisor among different virtual operators (VOs). Three distinctive schemes are proposed and evaluated against standard Round Robin (RR) C-RAN scheduling...

  12. The Role of Research and Analysis in Resource Allocation Decisions

    Lea, Dennis; Polster, Patty Poppe


    In a time of diminishing resources and increased accountability, it is important for school leaders to make the most of every dollar they spend. One approach to ensuring responsible resource allocation is to closely examine the organizational culture surrounding decision making and provide a structure and process to incorporate research and data…

  13. Personnel Resource Allocation Strategies in a Time of Fiscal Stress

    Hausner, Larry Joseph, III


    The purpose of this study was to collect and analyze school level data related to the allocation of resources, and to determine how those resources are used to increase student achievement in the Hampton School District. The study was based on an analysis of one school district located in Los Angeles County in Southern California. All of the…

  14. Atypical resource allocation may contribute to many aspects of autism

    Emily J. Goldknopf


    Full Text Available Based on a review of the literature and on reports by people with autism, this paper suggests that atypical resource allocation is a factor that contributes to many aspects of autism spectrum conditions, including difficulties with language and social cognition, atypical sensory and attentional experiences, executive and motor challenges, and perceptual and conceptual strengths and weaknesses. Drawing upon resource theoretical approaches that suggest that perception, cognition, and action draw upon multiple pools of resources, the approach states that compared with resources in typical cognition, resources in autism are narrowed or reduced, especially in people with strong sensory symptoms. In narrowed attention, resources are restricted to smaller areas and to fewer modalities, stages of processing, and cognitive processes than in typical cognition; resources may be more intense than in typical cognition. In reduced attentional capacity, overall resources are reduced; resources may be restricted to fewer modalities, stages of processing, and cognitive processes than in typical cognition, or the amount of resources allocated to each area or process may be reduced. Possible neural bases of the hypothesized atypical resource allocation, relations to other approaches, limitations, and tests of the hypotheses are discussed.

  15. Radio resource allocation over fading channels under statistical delay constraints

    Le-Ngoc, Tho


    This SpringerBrief presents radio resource allocation schemes for buffer-aided communications systems over fading channels under statistical delay constraints in terms of upper-bounded average delay or delay-outage probability. This Brief starts by considering a source-destination communications link with data arriving at the source transmission buffer. The first scenario, the joint optimal data admission control and power allocation problem for throughput maximization is considered, where the source is assumed to have a maximum power and an average delay constraints. The second scenario, optimal power allocation problems for energy harvesting (EH) communications systems under average delay or delay-outage constraints are explored, where the EH source harvests random amounts of energy from renewable energy sources, and stores the harvested energy in a battery during data transmission. Online resource allocation algorithms are developed when the statistical knowledge of the random channel fading, data arrivals...

  16. Allocating Internal Audit Resources for Fraud Risk Reduction

    Jans, Mieke; Lybaert, Nadine; Vanhoof, Koen


    Corporate fraud these days represents a huge cost to our economy. To counter this cost, organizations allocate lots of resources in terms of internal audit. Mostly, these audits are performed at a random sample of observations. This paper provides a methodology to help allocating efforts of internal audit more efficiently. Academic literature concerning fraud detection already concentrated on how data mining techniques can be of value in the fight against fraud. In this paper w...

  17. Dynamic Resource Allocation in Desktop Grids

    Bismi A S,


    Full Text Available Grid computing (or the use of computational grids is the application of several computers to a single problem at the same time. In grid computing ,the computing becomes pervasive and individual users(or client applicationgain access to computing resources (processors ,storage ,data,applications,and so onas needed with little or noknowledge of where those resources are located or what the underlying technologies, hardware ,operating system and so on. This paper address the problem of resource scheduling ,and there are so many resource scheduling algorithms .Resource scheduling algorithm may be centralized one and distributed one. One of the latest one is the multi-variable best fit algorithm, which deals with storage systems, and it enhanced in this work. and this algorithm is dealing withdata grids for blade servers. so, this algorithm is modified for computational grids, especially with desktop systems with minimum spanning algorithm for node selection and it is giving good results. In desktop grid environment, dynamic scheduling becomes very important and globus like toolkits are not having the scheduler as its own, and it needs other schedulers are not specially for computational grids.

  18. Auction-Based Resource Allocation in Digital Ecosystems

    Marzolla, Moreno; D'Angelo, Gabriele


    The proliferation of portable devices (PDAs, smartphones, digital multimedia players, and so forth) allows mobile users to carry around a pool of computing, storage and communication resources. Sharing these resources with other users ("Digital Organisms" -- DOs) opens the door to novel interesting scenarios, where people trade resources to allow the execution, anytime and anywhere, of applications that require a mix of capabilities. In this paper we present a fully distributed approach for resource sharing among multiple devices owned by different mobile users. Our scheme enables DOs to trade computing/networking facilities through an auction-based mechanism, without the need of a central control. We use a set of numerical experiments to compare our approach with an optimal (centralized) allocation strategy that, given the set of resource demands and offers, maximizes the number of matches. Results confirm the effectiveness of our approach since it produces a fair allocation of resources with low computation...

  19. Load Balancing in Local Computational Grids within Resource Allocation Process

    Rouhollah Golmohammadi


    Full Text Available A suitable resource allocation method in computational grids should schedule resources in a way that provides the requirements of the users and the resource providers; i.e., the maximum number of tasks should be completed in their time and budget constraints and the received load be distributed equally between resources. This is a decision-making problem, while the scheduler should select a resource from all ones. This process is a multi criteria decision-making problem; because of affect of different properties of resources on this decision. The goal of this decision-making process is balancing the load and completing the tasks in their defined constraints. The proposed algorithm is an analytic hierarchy process based Resource Allocation (ARA method. This method estimates a value for the preference of each resource and then selects the appropriate resource based on the allocated values. The simulations show the ARA method decreases the task failure rate at least 48% and increases the balance factor more than 3.4%.

  20. Allocation Strategies of Virtual Resources in Cloud-Computing Networks

    D.Giridhar Kumar


    Full Text Available In distributed computing, Cloud computing facilitates pay per model as per user demand and requirement. Collection of virtual machines including both computational and storage resources will form the Cloud. In Cloud computing, the main objective is to provide efficient access to remote and geographically distributed resources. Cloud faces many challenges, one of them is scheduling/allocation problem. Scheduling refers to a set of policies to control the order of work to be performed by a computer system. A good scheduler adapts its allocation strategy according to the changing environment and the type of task. In this paper we will see FCFS, Round Robin scheduling in addition to Linear Integer Programming an approach of resource allocation.

  1. Auction-based resource allocation game under a hierarchical structure

    Cui, Yingying; Zou, Suli; Ma, Zhongjing


    This paper studies a class of auction-based resource allocation games under a hierarchical structure, such that each supplier is assigned a certain amount of resource from a single provider and allocates it to its buyers with auction mechanisms. To implement the efficient allocations for the underlying hierarchical system, we first design an auction mechanism, for each local system composed of a supplier and its buyers, which inherits the advantages of the progressive second price mechanism. By employing a dynamic algorithm, each local system converges to its own efficient Nash equilibrium, at which the efficient resource allocation is achieved and the bidding prices of all the buyers in this local system are identical with each other. After the local systems reach their own equilibria respectively, the resources assigned to suppliers are readjusted via a dynamic hierarchical algorithm with respect to the bidding prices associated with the implemented equilibria of local systems. By applying the proposed hierarchical process, the formulated hierarchical system can converge to the efficient allocation under certain mild conditions. The developed results in this work are demonstrated with simulations.

  2. An Improved Dynamic Joint Resource Allocation Algorithm Based on SFR

    Yibing Li


    Full Text Available Inter-cell interference (ICI is the main factor affecting system capacity and spectral efficiency. Effective spectrum resource management is an important and challenging issue for the design of wireless communication systems. The soft frequency reuse (SFR is regarded as an interesting approach to significantly eliminate ICI. However, the allocation of resource is fixed prior to system deployment in static SFR. To overcome this drawback, this paper adopts a distributed method and proposes an improved dynamic joint resource allocation algorithm (DJRA. The improved scheme adaptively adjusts resource allocation based on the real-time user distribution. DJRA first detects the edge-user distribution vector to determine the optimal scheme, which guarantees that all the users have available resources and the number of iterations is reduced. Then, the DJRA maximizes the throughput for each cell via optimizing resource and power allocation. Due to further eliminate interference, the sector partition method is used in the center region and in view of fairness among users, the novel approach adds the proportional fair algorithm at the end of DJRA. Simulation results show that the proposed algorithm outperforms previous approaches for improving the system capacity and cell edge user performance.

  3. Resource allocation for epidemic control in metapopulations.

    Martial L Ndeffo Mbah

    Full Text Available Deployment of limited resources is an issue of major importance for decision-making in crisis events. This is especially true for large-scale outbreaks of infectious diseases. Little is known when it comes to identifying the most efficient way of deploying scarce resources for control when disease outbreaks occur in different but interconnected regions. The policy maker is frequently faced with the challenge of optimizing efficiency (e.g. minimizing the burden of infection while accounting for social equity (e.g. equal opportunity for infected individuals to access treatment. For a large range of diseases described by a simple SIRS model, we consider strategies that should be used to minimize the discounted number of infected individuals during the course of an epidemic. We show that when faced with the dilemma of choosing between socially equitable and purely efficient strategies, the choice of the control strategy should be informed by key measurable epidemiological factors such as the basic reproductive number and the efficiency of the treatment measure. Our model provides new insights for policy makers in the optimal deployment of limited resources for control in the event of epidemic outbreaks at the landscape scale.

  4. Optimal Allocation of Water Resources Based on Water Supply Security

    Jianhua Wang


    Full Text Available Under the combined impacts of climate change and human activities, a series of water issues, such as water shortages, have arisen all over the world. According to current studies in Science and Nature, water security has become a frontier critical topic. Water supply security (WSS, which is the state of water resources and their capacity and their capacity to meet the demand of water users by water supply systems, is an important part of water security. Currently, WSS is affected by the amount of water resources, water supply projects, water quality and water management. Water shortages have also led to water supply insecurity. WSS is now evaluated based on the balance of the supply and demand under a single water resources condition without considering the dynamics of the varying conditions of water resources each year. This paper developed an optimal allocation model for water resources that can realize the optimal allocation of regional water resources and comprehensively evaluate WSS. The objective of this model is to minimize the duration of water shortages in the long term, as characterized by the Water Supply Security Index (WSSI, which is the assessment value of WSS, a larger WSSI value indicates better results. In addition, the simulation results of the model can determine the change process and dynamic evolution of the WSS. Quanzhou, a city in China with serious water shortage problems, was selected as a case study. The allocation results of the current year and target year of planning demonstrated that the level of regional comprehensive WSS was significantly influenced by the capacity of water supply projects and the conditions of the natural water resources. The varying conditions of the water resources allocation results in the same year demonstrated that the allocation results and WSSI were significantly affected by reductions in precipitation, decreases in the water yield coefficient, and changes in the underlying surface.

  5. Mineral resources estimation based on block modeling

    Bargawa, Waterman Sulistyana; Amri, Nur Ali


    The estimation in this paper uses three kinds of block models of nearest neighbor polygon, inverse distance squared and ordinary kriging. The techniques are weighting scheme which is based on the principle that block content is a linear combination of the grade data or the sample around the block being estimated. The case study in Pongkor area, here is gold-silver resource modeling that allegedly shaped of quartz vein as a hydrothermal process of epithermal type. Resources modeling includes of data entry, statistical and variography analysis of topography and geological model, the block model construction, estimation parameter, presentation model and tabulation of mineral resources. Skewed distribution, here isolated by robust semivariogram. The mineral resources classification generated in this model based on an analysis of the kriging standard deviation and number of samples which are used in the estimation of each block. Research results are used to evaluate the performance of OK and IDS estimator. Based on the visual and statistical analysis, concluded that the model of OK gives the estimation closer to the data used for modeling.

  6. Resource allocation for multichannel broadcasting visible light communication

    Le, Nam-Tuan; Jang, Yeong Min


    Visible light communication (VLC), which offers the possibility of using light sources for both illumination and data communications simultaneously, will be a promising incorporation technique with lighting applications. However, it still remains some challenges especially coverage because of field-of-view limitation. In this paper, we focus on this issue by suggesting a resource allocation scheme for VLC broadcasting system. By using frame synchronization and a network calculus QoS approximation, as well as diversity technology, the proposed VLC architecture and QoS resource allocation for the multichannel-broadcasting MAC (medium access control) protocol can solve the coverage limitation problem and the link switching problem of exhibition service.

  7. Optimal Constrained Resource Allocation Strategies under Low Risk Circumstances

    Andreica, Mugurel Ionut; Visan, Costel


    In this paper we consider multiple constrained resource allocation problems, where the constraints can be specified by formulating activity dependency restrictions or by using game-theoretic models. All the problems are focused on generic resources, with a few exceptions which consider financial resources in particular. The problems consider low-risk circumstances and the values of the uncertain variables which are used by the algorithms are the expected values of the variables. For each of the considered problems we propose novel algorithmic solutions for computing optimal resource allocation strategies. The presented solutions are optimal or near-optimal from the perspective of their time complexity. The considered problems have applications in a broad range of domains, like workflow scheduling in industry (e.g. in the mining and metallurgical industry) or the financial sector, motion planning, facility location and data transfer or job scheduling and resource management in Grids, clouds or other distribute...

  8. Statistical Mechanics of Competitive Resource Allocation

    Chakraborti, Anirban; Chatterjee, Arnab; Marsili, Matteo; Zhang, Yi-Cheng; Chakrabarti, Bikas K


    Demand outstrips available resources in most situations, which gives rise to competition, interaction and learning. In this article, we review a broad spectrum of multi-agent models of competition and the methods used to understand them analytically. We emphasize the power of concepts and tools from statistical mechanics to understand and explain fully collective phenomena such as phase transitions and long memory, and the mapping between agent heterogeneity and physical disorder. As these methods can be applied to any large-scale model made up of heterogeneous adaptive agent with non-linear interaction, they provide a prospective unifying paradigm for many scientific disciplines.

  9. Unconstrained and Constrained Fault-Tolerant Resource Allocation

    Liao, Kewen


    First, we study the Unconstrained Fault-Tolerant Resource Allocation (UFTRA) problem (a.k.a. FTFA problem in \\cite{shihongftfa}). In the problem, we are given a set of sites equipped with an unconstrained number of facilities as resources, and a set of clients with set $\\mathcal{R}$ as corresponding connection requirements, where every facility belonging to the same site has an identical opening (operating) cost and every client-facility pair has a connection cost. The objective is to allocate facilities from sites to satisfy $\\mathcal{R}$ at a minimum total cost. Next, we introduce the Constrained Fault-Tolerant Resource Allocation (CFTRA) problem. It differs from UFTRA in that the number of resources available at each site $i$ is limited by $R_{i}$. Both problems are practical extensions of the classical Fault-Tolerant Facility Location (FTFL) problem \\cite{Jain00FTFL}. For instance, their solutions provide optimal resource allocation (w.r.t. enterprises) and leasing (w.r.t. clients) strategies for the cont...

  10. A Survey on Resource Allocation Strategies in Cloud Computing



    Full Text Available Cloud computing has become a new age technology that has got huge potentials in enterprises and markets. Clouds can make it possible to access applications and associated data from anywhere. Companies are able to rent resources from cloud for storage and other computational purposes so that their infrastructure cost can be reduced significantly. Further they can make use of company-wide access to applications, based on pay-as-you-go model. Hence there is no need for getting licenses for individual products. However one of the major pitfalls in cloud computing is related to optimizing the resources being allocated. Because of the uniqueness of the model, resource allocation is performed with the objective of minimizing the costs associated with it. The other challenges of resource allocation are meeting customer demands and application requirements. In this paper, various resource allocation strategies and their challenges are discussed in detail. It is believed that this paper would benefit both cloud users and researchers in overcoming the challenges faced.

  11. Allocation of Ground Handling Resources at Copenhagen Airport

    Justesen, Tor Fog

    capacity as a potential bottleneck that may slow this growth. Many European airports are already operating at the limit of their capacity; moreover, they are under competitive pressure from both nearby airports and fast-growing mega-hubs in the Middle East. Providing efficient and reliable airport...... that these processes give rise to. The primary focus is on ground handling resource allocation problems, it looks in detail at the following problems: the check-in counter allocation problem, the baggage make-up position problem, the tactical stand and gate allocation problem, the operational stand and gate allocation...... to generate appropriate initial variables, enabling the heuristic to efficiently find near-optimal and operationally valid solutions. The work described in this thesis was carried out in the context of an Industrial PhD project at Copenhagen Airport in collaboration with the Technical University of Denmark...

  12. Optimized Energy Efficiency and Spectral Efficiency Resource Allocation Strategies for Phantom Cellular Networks

    Abdelhady, Amr, M.


    Multi-teir hetrogeneous networks have become an essential constituent for next generation cellular networks. Meanwhile, energy efficiency (EE) has been considered a critical design criterion along with the traditional spectral efficiency (SE) metric. In this context, we study power and spectrum allocation for the recently proposed two-teir architecture known as Phantom cellular networks. The optimization framework includes both EE and SE, where we propose an algorithm that computes the SE and EE resource allocation for Phantom cellular networks. Then, we compare the performance of both design strategies versus the number of users, and the ration of Phantom cellresource blocks to the total number or resource blocks. We aim to investigate the effect of some system parameters to acheive improved SE or EE performance at a non-significant loss in EE or SE performance, respectively. It was found that the system parameters can be tuned so that the EE solution does not yield a significant loss in the SE performance.

  13. Dynamic optimization model for allocating medical resources in epidemic controlling

    Ming Liu


    Full Text Available Purpose: The model proposed in this paper addresses a dynamic optimization model for allocating medical resources in epidemic controlling.Design/methodology/approach: In this work, a three-level and dynamic linear programming model for allocating medical resources based on epidemic diffusion model is proposed. The epidemic diffusion model is used to construct the forecasting mechanism for dynamic demand of medical resources. Heuristic algorithm coupled with MTLAB mathematical programming solver is adopted to solve the model. A numerical example is presented for testing the model’s practical applicability.Findings: The main contribution of the present study is that a discrete time-space network model to study the medical resources allocation problem when an epidemic outbreak is formulated. It takes consideration of the time evolution and dynamic nature of the demand, which is different from most existing researches on medical resources allocation.Practical implications: In our model, the medicine logistics operation problem has been decomposed into several mutually correlated sub-problems, and then be solved systematically in the same decision scheme. Thus, the result will be much more suitable for real operations.Originality/value: In our model, the rationale that the medical resources allocated in early periods will take effect in subduing the spread of the epidemic spread and thus impact the demand in later periods has been for the first time incorporated. A win-win emergency rescue effect is achieved by the integrated and dynamic optimization model. The total rescue cost is controlled effectively, and meanwhile, inventory level in each urban health departments is restored and raised gradually.

  14. Consumer-resource dynamics: quantity, quality, and allocation.

    Wayne M Getz

    Full Text Available BACKGROUND: The dominant paradigm for modeling the complexities of interacting populations and food webs is a system of coupled ordinary differential equations in which the state of each species, population, or functional trophic group is represented by an aggregated numbers-density or biomass-density variable. Here, using the metaphysiological approach to model consumer-resource interactions, we formulate a two-state paradigm that represents each population or group in a food web in terms of both its quantity and quality. METHODOLOGY AND PRINCIPAL FINDINGS: The formulation includes an allocation function controlling the relative proportion of extracted resources to increasing quantity versus elevating quality. Since lower quality individuals senescence more rapidly than higher quality individuals, an optimal allocation proportion exists and we derive an expression for how this proportion depends on population parameters that determine the senescence rate, the per-capita mortality rate, and the effects of these rates on the dynamics of the quality variable. We demonstrate that oscillations do not arise in our model from quantity-quality interactions alone, but require consumer-resource interactions across trophic levels that can be stabilized through judicious resource allocation strategies. Analysis and simulations provide compelling arguments for the necessity of populations to evolve quality-related dynamics in the form of maternal effects, storage or other appropriate structures. They also indicate that resource allocation switching between investments in abundance versus quality provide a powerful mechanism for promoting the stability of consumer-resource interactions in seasonally forcing environments. CONCLUSIONS/SIGNIFICANCE: Our simulations show that physiological inefficiencies associated with this switching can be favored by selection due to the diminished exposure of inefficient consumers to strong oscillations associated with the

  15. Power Efficient Resource Allocation for Clouds Using Ant Colony Framework

    Chimakurthi, Lskrao


    Cloud computing is one of the rapidly improving technologies. It provides scalable resources needed for the ap- plications hosted on it. As cloud-based services become more dynamic, resource provisioning becomes more challenging. The QoS constrained resource allocation problem is considered in this paper, in which customers are willing to host their applications on the provider's cloud with a given SLA requirements for performance such as throughput and response time. Since, the data centers hosting the applications consume huge amounts of energy and cause huge operational costs, solutions that reduce energy consumption as well as operational costs are gaining importance. In this work, we propose an energy efficient mechanism that allocates the cloud resources to the applications without violating the given service level agreements(SLA) using Ant colony framework.

  16. A Greedy Double Auction Mechanism for Grid Resource Allocation

    Ding, Ding; Luo, Siwei; Gao, Zhan

    To improve the resource utilization and satisfy more users, a Greedy Double Auction Mechanism(GDAM) is proposed to allocate resources in grid environments. GDAM trades resources at discriminatory price instead of uniform price, reflecting the variance in requirements for profits and quantities. Moreover, GDAM applies different auction rules to different cases, over-demand, over-supply and equilibrium of demand and supply. As a new mechanism for grid resource allocation, GDAM is proved to be strategy-proof, economically efficient, weakly budget-balanced and individual rational. Simulation results also confirm that GDAM outperforms the traditional one on both the total trade amount and the user satisfaction percentage, specially as more users are involved in the auction market.


    Harris, S.; Dunn, D.


    Redeployment of existing law enforcement resources and optimal use of geographic terrain are examined for countering the threat of a maritime based small-vessel radiological or nuclear attack. The evaluation was based on modeling conducted by the Savannah River National Laboratory that involved the development of options for defensive resource allocation that can reduce the risk of a maritime based radiological or nuclear threat. A diverse range of potential attack scenarios has been assessed. As a result of identifying vulnerable pathways, effective countermeasures can be deployed using current resources. The modeling involved the use of the Automated Vulnerability Evaluation for Risks of Terrorism (AVERT{reg_sign}) software to conduct computer based simulation modeling. The models provided estimates for the probability of encountering an adversary based on allocated resources including response boats, patrol boats and helicopters over various environmental conditions including day, night, rough seas and various traffic flow rates.

  18. Resource Allocation to Government Documents Departments in Academic Libraries.

    Cook, Kevin L.


    Explores both the allocation of resources to documents departments in academic libraries and the wide variation in local levels of support. Ways in which documents librarians may change levels of support through sources within and beyond their libraries are suggested. (CLB)

  19. Funding the Plan: Integration of Strategic Planning and Resource Allocation

    Pagel, Richard T.


    California Community Colleges are facing increased accountability while at the same time experiencing reduced and uncertain state funding. When resources are not properly allocated there is waste, public criticism, and ultimately increased oversight. A review of the Accrediting Commission for Community and Junior Colleges (ACCJC) sanction letters…

  20. Funding the Plan: Integration of Strategic Planning and Resource Allocation

    Pagel, Richard T.


    California Community Colleges are facing increased accountability while at the same time experiencing reduced and uncertain state funding. When resources are not properly allocated there is waste, public criticism, and ultimately increased oversight. A review of the Accrediting Commission for Community and Junior Colleges (ACCJC) sanction letters…

  1. How and Why Decision Models Influence Marketing Resource Allocations

    G.L. Lilien (Gary); A. Rangaswamy (Arvind); K. Starke (Katrin); G.H. van Bruggen (Gerrit)


    textabstractWe study how and why model-based Decision Support Systems (DSSs) influence managerial decision making, in the context of marketing budgeting and resource allocation. We consider several questions: (1) What does it mean for a DSS to be "good?"; (2) What is the relationship between an anch

  2. Stochastic Resource Allocation for Energy-Constrained Systems

    Sachs DanielGrobe


    Full Text Available Battery-powered wireless systems running media applications have tight constraints on energy, CPU, and network capacity, and therefore require the careful allocation of these limited resources to maximize the system's performance while avoiding resource overruns. Usually, resource-allocation problems are solved using standard knapsack-solving techniques. However, when allocating conservable resources like energy (which unlike CPU and network remain available for later use if they are not used immediately knapsack solutions suffer from excessive computational complexity, leading to the use of suboptimal heuristics. We show that use of Lagrangian optimization provides a fast, elegant, and, for convex problems, optimal solution to the allocation of energy across applications as they enter and leave the system, even if the exact sequence and timing of their entrances and exits is not known. This permits significant increases in achieved utility compared to heuristics in common use. As our framework requires only a stochastic description of future workloads, and not a full schedule, we also significantly expand the scope of systems that can be optimized.

  3. optimization of water resources allocation in semi-arid region

    Eng Obi Ibeje,. 2Department of ... This study is aimed at achieving optimal water resources allocation in the semi-arid areas using Dadin-Nkowa dam in Gombe State as a case study. .... China applied this methodology in solving.

  4. Multi-Constraint multi-processor Resource Allocation

    Behrouzian, A.R.B.; Goswami, D.; Basten, T.; Geilen, M.; Ara, H.A.


    This work proposes a Multi-Constraint Resource Allocation (MuCoRA) method for applications from multiple domains onto multi-processors. In particular, we address a mapping problem for multiple throughput-constrained streaming applications and multiple latency-constrained feedback control application

  5. Job Admission and Resource Allocation in Distributed Streaming Systems

    Wolf, Joel; Bansal, Nikhil; Hildrum, Kirsten; Parekh, Sujay; Rajan, Deepak; Wagle, Rohit; Wu, Kun-Lung

    This paper describes a new and novel scheme for job admission and resource allocation employed by the SODA scheduler in System S. Capable of processing enormous quantities of streaming data, System S is a large-scale, distributed stream processing system designed to handle complex applications. The problem of scheduling in distributed, stream-based systems is quite unlike that in more traditional systems. And the requirements for System S, in particular, are more stringent than one might expect even in a “standard” stream-based design. For example, in System S, the offered load is expected to vastly exceed system capacity. So a careful job admission scheme is essential. The jobs in System S are essentially directed graphs, with software “processing elements” (PEs) as vertices and data streams as edges connecting the PEs. The jobs themselves are often heavily interconnected. Thus resource allocation of individual PEs must be done carefully in order to balance the flow. We describe the design of the SODA scheduler, with particular emphasis on the component, known as macroQ, which performs the job admission and resource allocation tasks. We demonstrate by experiments the natural trade-offs between job admission and resource allocation.

  6. Survey On Scheduling And Radio Resources Allocation In Lte

    Fayssal Bendaoud


    Full Text Available This paper focuses on an essential task of the enhanced NodeB eNodeB element in LTE architecture, the Radio Resource Manager RRM, which aims to accept or reject requests for connection to the network based on some constraints and ensuring optimal distribution of radio resources between Users Equipments UEs. Its main functionalities include Admission Control AC and Packet Scheduling PS. This paper will center mainly on the PS part of the RRM task, which performs the radio resource allocation in both uplink and downlink directions. Several approaches and algorithms have been proposed in the literature to address this need (allocate resources efficiently, the diversity and multitude of algorithms is related to the factors considered for the optimal management of radio resource, specifically, the traffic type and the QoS (Quality of Service requested by the UE. In this article, an art’s state of the radio resource allocation strategies and a detailed study of several scheduling algorithms proposed for LTE (uplink and downlink are made. Therefore, we offer our evaluation and criticism.

  7. Optimal Resource Allocation for Network Protection: A Geometric Programming Approach

    Preciado, Victor M; Enyioha, Chinwendu; Jadbabaie, Ali; Pappas, George


    We study the problem of containing spreading processes in arbitrary directed networks by distributing protection resources throughout the nodes of the network. We consider two types of protection resources are available: (i) Preventive resources able to defend nodes against the spreading (such as vaccines in a viral infection process), and (ii) corrective resources able to neutralize the spreading after it has reached a node (such as antidotes). We assume that both preventive and corrective resources have an associated cost and study the problem of finding the cost-optimal distribution of resources throughout the nodes of the network. We analyze these questions in the context of viral spreading processes in directed networks. We study the following two problems: (i) Given a fixed budget, find the optimal allocation of preventive and corrective resources in the network to achieve the highest level of containment, and (ii) when a budget is not specified, find the minimum budget required to control the spreading...

  8. Dynamic Resource Allocation in Hybrid Access Femtocell Network

    Afaz Uddin Ahmed


    Full Text Available Intercell interference is one of the most challenging issues in femtocell deployment under the coverage of existing macrocell. Allocation of resources between femtocell and macrocell is essential to counter the effects of interference in dense femtocell networks. Advances in resource management strategies have improved the control mechanism for interference reduction at lower node density, but most of them are ineffective at higher node density. In this paper, a dynamic resource allocation management algorithm (DRAMA for spectrum shared hybrid access OFDMA femtocell network is proposed. To reduce the macro-femto-tier interference and to improve the quality of service, the proposed algorithm features a dynamic resource allocation scheme by controlling them both centrally and locally. The proposed scheme focuses on Femtocell Access Point (FAP owners’ satisfaction and allows maximum utilization of available resources based on congestion in the network. A simulation environment is developed to study the quantitative performance of DRAMA in hybrid access-control femtocell network and compare it to closed and open access mechanisms. The performance analysis shows that higher number of random users gets connected to the FAP without compromising FAP owners’ satisfaction allowing the macrocell to offload a large number of users in a dense heterogeneous network.

  9. Maternal-fetal resource allocation: co-operation and conflict.

    Fowden, A L; Moore, T


    Pregnancy is generally a co-operative interaction between mother and fetus in which the evolutionary genetic interests of both benefit from production of healthy offspring. While this view is largely supported by empirical data, Kinship Theory predicts that mother and fetus will disagree over the optimum level of maternal investment that maximises their respective fitnesses. This conflict will be more evident with polyandrous than monogamous mating systems, when resources are scarce and in late gestation when the fetus is growing maximally, particularly if conceptus mass is large relative to maternal mass. As the site of nutrient transfer, the placenta is pivotal in the tug-of-war between mother and fetus over resource allocation. It responds to both fetal signals of nutrient demand and maternal signals of nutrient availability and, by adapting its phenotype, regulates the distribution of available resources. These adaptations involve changes in placental size, morphology, transport characteristics, metabolism and hormone bioavailability. They are mediated by key growth regulatory, endocrine and nutrient supply genes responsive to mismatches between nutrient availability and the fetal genetic drive for growth. Indeed, evolution of genomic imprinting and placental secretion of hormones are believed to have been driven by maternal-fetal conflict over resource allocation. Although many of the specific mechanisms involved still have to be identified, the placenta confers optimal fitness on the offspring for its developmental environment by balancing conflict and cooperation in the allocation of resources through generation of nutrient transport phenotypes specific to the prevailing nutritional conditions and/or fetal genotype.

  10. Geographic variation in resource allocation to the abdomen in geometrid moths

    Kivelä, Sami M.; Välimäki, Panu; Carrasco, David; Mäenpää, Maarit I.; Mänttäri, Satu


    A resource allocation trade-off is expected when resources from a common pool are allocated to two or more traits. In holometabolous insects, resource allocation to different functions during metamorphosis relies completely on larval-derived resources. At adult eclosion, resource allocation to the abdomen at the expense of other body parts can be seen as a rough estimate of resource allocation to reproduction. Theory suggests geographic variation in resource allocation to the abdomen, but there are currently no empirical data on it. We measured resource allocation to the abdomen at adult eclosion in four geometrid moths along a latitudinal gradient. Resource (total dry material, carbon, nitrogen) allocation to the abdomen showed positive allometry with body size. We found geographic variation in resource allocation to the abdomen in each species, and this variation was independent of allometry in three species. Geographic variation in resource allocation to the abdomen was complex. Resource allocation to the abdomen was relatively high in partially bivoltine populations in two species, which fits theoretical predictions, but the overall support for theory is weak. This study indicates that the geographic variation in resource allocation to the abdomen is not an allometric consequence of geographic variation in resource acquisition (i.e., body size). Thus, there is a component of resource allocation that can evolve independently of resource acquisition. Our results also suggest that there may be intraspecific variation in the degree of capital versus income breeding.

  11. A study of multiagent systems for resource allocation

    Liu, Haixiao; Shao, Zhichao; Li, Shanfei; Tan, Xianglin


    The agent and multiagent system is one of the most active methods for solving complicated problems as to resource allocation recently. Here, an agent can be considered as a computer program who takes autonomous actions to obtain some units of resources for individual purposes and common goals. The environment can be referred to the place where scattered resources and agent behavior-restricted rules are stored. And a multiagent system is a type of computing system built upon multiple situated agents who interact with each other under mechanisms. This paper aims to overview the techniques regarding agents and the environment.

  12. Resource Allocation for Delay Differentiated Traffic in Multiuser OFDM Systems

    Tao, Meixia; Zhang, Fan


    Most existing work on adaptive allocation of subcarriers and power in multiuser orthogonal frequency division multiplexing (OFDM) systems has focused on homogeneous traffic consisting solely of either delay-constrained data (guaranteed service) or non-delay-constrained data (best-effort service). In this paper, we investigate the resource allocation problem in a heterogeneous multiuser OFDM system with both delay-constrained (DC) and non-delay-constrained (NDC) traffic. The objective is to maximize the sum-rate of all the users with NDC traffic while maintaining guaranteed rates for the users with DC traffic under a total transmit power constraint. Through our analysis we show that the optimal power allocation over subcarriers follows a multi-level water-filling principle; moreover, the valid candidates competing for each subcarrier include only one NDC user but all DC users. By converting this combinatorial problem with exponential complexity into a convex problem or showing that it can be solved in the dual...

  13. Weighted Max-Min Resource Allocation for Frequency Selective Channels

    Zehavi, Ephi; Levanda, Ronny; Han, Zhu


    In this paper, we discuss the computation of weighted max-min rate allocation using joint TDM/FDM strategies under a PSD mask constraint. We show that the weighted max-min solution allocates the rates according to a predetermined rate ratio defined by the weights, a fact that is very valuable for telecommunication service providers. Furthermore, we show that the problem can be efficiently solved using linear programming. We also discuss the resource allocation problem in the mixed services scenario where certain users have a required rate, while the others have flexible rate requirements. The solution is relevant to many communication systems that are limited by a power spectral density mask constraint such as WiMax, Wi-Fi and UWB.

  14. Resource Allocation for Selection-Based Cooperative OFDM Networks

    Hosseini, Kianoush


    This paper considers resource allocation to achieve max-min fairness in a selection-based orthogonal frequency division multiplexing network wherein source nodes are assisted by fixed decode-and-forward relays. Crucial design questions such as whether to relay, relay assignment and power allocation form a combinatorial problem with exponential solution complexity. The first set of problems assume perfect source-relay channels and that sources distribute power equally across subcarriers. The solutions based on these simplifications help illustrate our general methodology and also why these solutions provide tight bounds. We then formulate the general problem of transmission strategy selection, relay assignment, and power allocation at the sources and relays considering all communication channels, i.e., imperfect source-relay channels. In both sets of problems, transmissions over subcarriers are assumed to be independent. Given the attendant problems of synchronization and the implementation using a FFT/IFFT pa...

  15. Ising game: Nonequilibrium steady states of resource-allocation systems

    Xin, C.; Yang, G.; Huang, J. P.


    Resource-allocation systems are ubiquitous in the human society. But how external fields affect the state of such systems remains poorly explored due to the lack of a suitable model. Because the behavior of spins pursuing energy minimization required by physical laws is similar to that of humans chasing payoff maximization studied in game theory, here we combine the Ising model with the market-directed resource-allocation game, yielding an Ising game. Based on the Ising game, we show theoretical, simulative and experimental evidences for a formula, which offers a clear expression of nonequilibrium steady states (NESSs). Interestingly, the formula also reveals a convertible relationship between the external field (exogenous factor) and resource ratio (endogenous factor), and a class of saturation as the external field exceeds certain limits. This work suggests that the Ising game could be a suitable model for studying external-field effects on resource-allocation systems, and it could provide guidance both for seeking more relations between NESSs and equilibrium states and for regulating human systems by choosing NESSs appropriately.

  16. MAC Layer Resource Allocation for Wireless Body Area Networks

    Qinghua Shen; Xuemin Sherman Shen; Tom HLuan; Jing Liu


    Wireless body area networks (WBANs) can provide low-cost, timely healthcare services and are expected to be widely used for e-healthcare in hospitals. In a hospital, space is often limited and multiple WBANs have to coexist in an area and share the same channel in order to provide healthcare services to different patients. This causes severe interference between WBANs that could significantly reduce the network throughput and increase the amount of power consumed by sensors placed on the body. There-fore, an efficient channel-resource allocation scheme in the medium access control (MAC) layer is crucial. In this paper, we devel-op a centralized MAC layer resource allocation scheme for a WBAN. We focus on mitigating the interference between WBANs and reducing the power consumed by sensors. Channel and buffer state are reported by smartphones deployed in each WBAN, and channel access allocation is performed by a central controller to maximize network throughput. Sensors have strict limitations in terms of energy consumption and computing capability and cannot provide all the necessary information for channel allocation in a timely manner. This deteriorates network performance. We exploit the temporal correlation of the body area channel in order to minimize the number of channel state reports necessary. We view the network design as a partly observable optimization prob-lem and develop a myopic policy, which we then simulate in Matlab.

  17. Mixed strategies and natural selection in resource allocation.

    Kareva, Irina; Berezovkaya, Faina; Karev, Georgy


    An appropriate choice of strategy for resource allocation may frequently determine whether a population will be able to survive under the conditions of severe resource limitations. Here we focus on two classes of strategies allocation of resources towards rapid proliferation, or towards slower proliferation but increased physiological and environmental maintenance. We propose a generalized framework, where individuals within a population can use either strategy in different proportion for utilization of a common dynamical resource in order to maximize their fitness. We use the model to address two major questions, namely, whether either strategy is more likely to be selected for as a result of natural selection, and, if one allows for the possibility of resource over-consumption, whether either strategy is preferable for avoiding population collapse due to resource exhaustion. Analytical and numerical results suggest that the ultimate choice of strategy is determined primarily by the initial distribution of individuals in the population, and that while investment in physiological and environmental maintenance is a preferable strategy in a homogeneous population, no generalized prediction can be made about heterogeneous populations.

  18. A Hybrid Dynamic Programming Method for Concave Resource Allocation Problems

    姜计荣; 孙小玲


    Concave resource allocation problem is an integer programming problem of minimizing a nonincreasing concave function subject to a convex nondecreasing constraint and bounded integer variables. This class of problems are encountered in optimization models involving economies of scale. In this paper, a new hybrid dynamic programming method was proposed for solving concave resource allocation problems. A convex underestimating function was used to approximate the objective function and the resulting convex subproblem was solved with dynamic programming technique after transforming it into a 0-1 linear knapsack problem. To ensure the convergence, monotonicity and domain cut technique was employed to remove certain integer boxes and partition the revised domain into a union of integer boxes. Computational results were given to show the efficiency of the algorithm.

  19. Hybrid particle swarm optimization for multiobjective resource allocation

    Yi Yang; Li Xiaoxing; Gu Chunqin


    Resource allocation (RA) is the problem of allocating resources among various artifacts or business units to meet one or more expected goals,such as maximizing the profits,minimizing the costs,or achieving the best qualities.A complex multiobjective RA is addressed,and a multiobjective mathematical model is used to find solutions efficiently.Then,an improved particle swarm algorithm (mO_PSO) is proposed combined with a new particle diversity controller policies and dissipation operation.Meanwhile,a modified Pareto methods used in PSO to deal with multiobjectives optimization is presented.The effectiveness of the provided algorithm is validated by its application to some illustrative example dealing with multiobjective RA problems and with the comparative experiment with other algorithm.

  20. Location-based resource allocation for OFDMA cognitive radio systems

    Nam, Haewoon


    In cognitive radio systems, in order for the secondary users to opportunistically share the spectrum without interfering the primary users, an accurate spectrum measurement and a precise estimation of the interference at the primary users are necessary but are challenging tasks. Since it is impractical in cognitive radio systems to assume that the channel state information of the interference link is available at the cognitive transmitter, the interference at the primary users is hard to be estimated accurately. This paper introduces a resource allocation algorithm for OFDMA-based cognitive radio systems, which utilizes location information of the primary and secondary users instead of the channel state information of the interference link. Simulation results show that it is indeed effective to incorporate location information into resource allocation so that a near-optimal capacity is achieved.

  1. The veil of ignorance and health resource allocation.

    Soto, Carlos


    Some authors view the veil of ignorance as a preferred method for allocating resources because it imposes impartiality by stripping deliberators of knowledge of their personal identity. Using some prominent examples of such reasoning in the health care sector, I will argue for the following claims. First, choice behind a veil of ignorance often fails to provide clear guidance regarding resource allocation. Second, regardless of whether definite results could be derived from the veil, these results do not in themselves have important moral standing. This is partly because the veil does not determine which features are morally relevant for a given distributive problem. Third, even when we have settled the question of what features to count, choice behind a veil of ignorance arguably fails to take persons seriously. Ultimately, we do not need the veil to solve distributive problems, and we have good reason to appeal to some other distributive model.

  2. A novel model on dynamic resource allocation in optical networks

    TANG Yong; RAO Min; LI Lei; CHEN Yu; JIANG Jianfeng; ZHANG Mingde; SUN Xiaohan


    A novel model on dynamic resource allocation in the WDM optical networks is proposed, basing on the integrated considerations of the impacts of transmission impairments and service classification on dynamic resource allocation in the optical layer.In this model, the priorities of optical connection requests are mapped into different thresholds of transmission impairments, and a uniform method which is adopted to evaluate the virtual wavelength path (VWP) candidates is defined. The Advanced Preferred Wavelength Sets Algorithm (A-PWS) and the heuristic Dynamic Min-Cost & Optical Virtual Wavelength Path Algorithm (DMC-OVWP) are presented addressing the routing and wavelength assignment (RWA) problem based on dynamic traffic and multi priorities in wavelength-routed optical networks. For a received optical connection request,DMC-OVWP is employed to calculate a list of the VWP candidates, and an appropriate VWP which matches the request's priority is picked up to establish the lightpath by analyzing the transmission qualities of the VWP candidates.

  3. Resource Allocation in Public Cluster with Extended Optimization Algorithm

    Akbar, Z.; Handoko, L. T.


    We introduce an optimization algorithm for resource allocation in the LIPI Public Cluster to optimize its usage according to incoming requests from users. The tool is an extended and modified genetic algorithm developed to match specific natures of public cluster. We present a detail analysis of optimization, and compare the results with the exact calculation. We show that it would be very useful and could realize an automatic decision making system for public clusters.

  4. [Optimal allocation of irrigation water resources based on systematical strategy].

    Cheng, Shuai; Zhang, Shu-qing


    With the development of the society and economy, as well as the rapid increase of population, more and more water is needed by human, which intensified the shortage of water resources. The scarcity of water resources and growing competition of water in different water use sectors reduce water availability for irrigation, so it is significant to plan and manage irrigation water resources scientifically and reasonably for improving water use efficiency (WUE) and ensuring food security. Many investigations indicate that WUE can be increased by optimization of water use. However, present studies focused primarily on a particular aspect or scale, which lack systematic analysis on the problem of irrigation water allocation. By summarizing previous related studies, especially those based on intelligent algorithms, this article proposed a multi-level, multi-scale framework for allocating irrigation water, and illustrated the basic theory of each component of the framework. Systematical strategy of optimal irrigation water allocation can not only control the total volume of irrigation water on the time scale, but also reduce water loss on the spatial scale. It could provide scientific basis and technical support for improving the irrigation water management level and ensuring the food security.

  5. Energy-efficient two-hop LTE resource allocation in high speed trains with moving relays

    Alsharoa, Ahmad M.


    High-speed railway system equipped with moving relay stations placed on the middle of the ceiling of each train wagon is investigated. The users inside the train are served in two hops via the 3GPP Long Term Evolution (LTE) technology. The objective of this work is to maximize the number of served users by respecting a specific quality-of-service constraint while minimizing the total power consumption of the eNodeB and the moving relays. We propose an efficient algorithm based on the Hungarian method to find the optimal resource allocation over the LTE resource blocks in order to serve the maximum number of users with the minimum power consumption. Moreover, we derive a closed-form expression for the power allocation problem. Our simulation results illustrate the performance of the proposed scheme and compare it with various previously developed algorithms as well as with the direct transmission scenario. © 2014 IFIP.

  6. A distributed resource allocation algorithm for many processes

    Hesselink, Wim H


    Resource allocation is the problem that a process may enter a critical section CS of its code only when its resource requirements are not in conflict with those of other processes in their critical sections. For each execution of CS, these requirements are given anew. In the resource requirements, levels can be distinguished, such as e.g. read access or write access. We allow infinitely many processes that communicate by reliable asynchronous messages and have finite memory. A simple starvation-free solution is presented. Processes only wait for one another when they have conflicting resource requirements. The correctness of the solution is argued with invariants and temporal logic. It has been verified with the proof assistant PVS.

  7. Radio Resource Allocation on Complex 4G Wireless Cellular Networks

    Psannis, Kostas E.


    In this article we consider the heuristic algorithm which improves step by step wireless data delivery over LTE cellular networks by using the total transmit power with the constraint on users’ data rates, and the total throughput with the constraints on the total transmit power as well as users’ data rates, which are jointly integrated into a hybrid-layer design framework to perform radio resource allocation for multiple users, and to effectively decide the optimal system parameter such as modulation and coding scheme (MCS) in order to adapt to the varying channel quality. We propose new heuristic algorithm which balances the accessible data rate, the initial data rates of each user allocated by LTE scheduler, the priority indicator which signals delay- throughput- packet loss awareness of the user, and the buffer fullness by achieving maximization of radio resource allocation for multiple users. It is noted that the overall performance is improved with the increase in the number of users, due to multiuser diversity. Experimental results illustrate and validate the accuracy of the proposed methodology.

  8. Hospital competition, resource allocation and quality of care

    Zwanziger Jack


    Full Text Available Abstract Background A variety of approaches have been used to contain escalating hospital costs. One approach is intensifying price competition. The increase in price based competition, which changes the incentives hospitals face, coupled with the fact that consumers can more easily evaluate the quality of hotel services compared with the quality of clinical care, may lead hospitals to allocate more resources into hotel rather than clinical services. Methods To test this hypothesis we studied hospitals in California in 1982 and 1989, comparing resource allocations prior to and following selective contracting, a period during which the focus of competition changed from quality to price. We estimated the relationship between clinical outcomes, measured as risk-adjusted-mortality rates, and resources. Results In 1989, higher competition was associated with lower clinical expenditures levels compared with 1982. The trend was stronger for non-profit hospitals. Lower clinical resource use was associated with worse risk adjusted mortality outcomes. Conclusions This study raises concerns that cost reductions may be associated with increased mortality.

  9. Cognitive cost as dynamic allocation of energetic resources.

    Christie, S Thomas; Schrater, Paul


    While it is widely recognized that thinking is somehow costly, involving cognitive effort and producing mental fatigue, these costs have alternatively been assumed to exist, treated as the brain's assessment of lost opportunities, or suggested to be metabolic but with implausible biological bases. We present a model of cognitive cost based on the novel idea that the brain senses and plans for longer-term allocation of metabolic resources by purposively conserving brain activity. We identify several distinct ways the brain might control its metabolic output, and show how a control-theoretic model that models decision-making with an energy budget can explain cognitive effort avoidance in terms of an optimal allocation of limited energetic resources. The model accounts for both subject responsiveness to reward and the detrimental effects of hypoglycemia on cognitive function. A critical component of the model is using astrocytic glycogen as a plausible basis for limited energetic reserves. Glycogen acts as an energy buffer that can temporarily support high neural activity beyond the rate supported by blood glucose supply. The published dynamics of glycogen depletion and repletion are consonant with a broad array of phenomena associated with cognitive cost. Our model thus subsumes both the "cost/benefit" and "limited resource" models of cognitive cost while retaining valuable contributions of each. We discuss how the rational control of metabolic resources could underpin the control of attention, working memory, cognitive look ahead, and model-free vs. model-based policy learning.

  10. Multi- Path Routing and Resource Allocation in Active Network

    XU Wu-ping; YAN Pu-liu; WU Ming


    An algorithm of traffic distribution called active multi-path routing (AMR) in active network is proposed.AMR adopts multi-path routing and applies nonlinear optimize approximate method to distribute network traffic amongmultiple paths. It is combined to bandwidth resource allocation and the congestion restraint mechanism to avoid congestion happening and worsen. So network performance can be improved greatly. The frame of AMR includes adaptive trafficallocation model, the conception of supply bandwidth and its'allocation model, the principle of congestion restraint and its'model, and the implement of AMR based on multi-agents system in active network. Through simulations, AMR has distinct effects on network performance. The results show AMR is a valid traffic regulation algorithm.

  11. Optimal and Fair Resource Allocation for Multiuser Wireless Multimedia Transmissions

    Guan Zhangyu


    Full Text Available This paper presents an optimal and fair strategy for multiuser multimedia radio resource allocation (RRA based on coopetition, which suggests a judicious mixture of competition and cooperation. We formulate the co-opetition strategy as sum utility maximization at constraints from both Physical (PHY and Application (APP layers. We show that the maximization can be solved efficiently employing the well-defined Layering as Optimization Decomposition (LOD method. Moreover, the coopetition strategy is applied to power allocation among multiple video users, and evaluated through comparing with existing- competition based strategy. Numerical results indicate that, the co-opetition strategy adapts the best to the changes of network conditions, participating users, and so forth. It is also shown that the coopetition can lead to an improved number of satisfied users, and in the meanwhile provide more flexible tradeoff between system efficiency and fairness among users.

  12. Dynamic resource allocation in disaster response: tradeoffs in wildfire suppression.

    Nada Petrovic

    Full Text Available Challenges associated with the allocation of limited resources to mitigate the impact of natural disasters inspire fundamentally new theoretical questions for dynamic decision making in coupled human and natural systems. Wildfires are one of several types of disaster phenomena, including oil spills and disease epidemics, where (1 the disaster evolves on the same timescale as the response effort, and (2 delays in response can lead to increased disaster severity and thus greater demand for resources. We introduce a minimal stochastic process to represent wildfire progression that nonetheless accurately captures the heavy tailed statistical distribution of fire sizes observed in nature. We then couple this model for fire spread to a series of response models that isolate fundamental tradeoffs both in the strength and timing of response and also in division of limited resources across multiple competing suppression efforts. Using this framework, we compute optimal strategies for decision making scenarios that arise in fire response policy.

  13. Children's allocation of resources in social dominance situations.

    Charafeddine, Rawan; Mercier, Hugo; Clément, Fabrice; Kaufmann, Laurence; Reboul, Anne; Van der Henst, Jean-Baptiste


    Two experiments with preschoolers (36 to 78 months) and 8-year-old children (Experiment 1, N = 173; Experiment 2, N = 132) investigated the development of children's resource distribution in dominance contexts. On the basis of the distributive justice literature, 2 opposite predictions were tested. Children could match resource allocation with the unequal social setting they observe and thus favor a dominant individual over a subordinate 1. Alternatively, children could choose to compensate the subordinate if they consider that the dominance asymmetry should be counteracted. Two experiments using a giving task (Experiment 1) and a taking task (Experiment 2) led to the same results. In both experiments, children took dominance into account when allocating resources. Moreover, their distributive decisions were similarly affected by age: Although 3- and 4-year-old children favored the dominant individual, 5-year-old children showed no preference and 8-year-old children strongly favored the subordinate. Several mechanisms accounting for this developmental pattern are discussed. (PsycINFO Database Record

  14. Improving Hospital-Wide Early Resource Allocation through Machine Learning.

    Gartner, Daniel; Padman, Rema


    The objective of this paper is to evaluate the extent to which early determination of diagnosis-related groups (DRGs) can be used for better allocation of scarce hospital resources. When elective patients seek admission, the true DRG, currently determined only at discharge, is unknown. We approach the problem of early DRG determination in three stages: (1) test how much a Naïve Bayes classifier can improve classification accuracy as compared to a hospital's current approach; (2) develop a statistical program that makes admission and scheduling decisions based on the patients' clincial pathways and scarce hospital resources; and (3) feed the DRG as classified by the Naïve Bayes classifier and the hospitals' baseline approach into the model (which we evaluate in simulation). Our results reveal that the DRG grouper performs poorly in classifying the DRG correctly before admission while the Naïve Bayes approach substantially improves the classification task. The results from the connection of the classification method with the mathematical program also reveal that resource allocation decisions can be more effective and efficient with the hybrid approach.

  15. Equity in healthcare resource allocation decision making: A systematic review.

    Lane, Haylee; Sarkies, Mitchell; Martin, Jennifer; Haines, Terry


    To identify elements of endorsed definitions of equity in healthcare and classify domains of these definitions so that policy makers, managers, clinicians, and politicians can form an operational definition of equity that reflects the values and preferences of the society they serve. Systematic review where verbatim text describing explicit and implicit definitions of equity were extracted and subjected to a thematic analysis. The full holdings of the AMED, CINAHL plus, OVID Medline, Scopus, PsychInfo and ProQuest (ProQuest Health & Medical Complete, ProQuest Nursing and Allied Health Source, ProQuest Social Science Journals) were individually searched in April 2015. Studies were included if they provided an original, explicit or implicit definition of equity in regards to healthcare resource allocation decision making. Papers that only cited earlier definitions of equity and provided no new information or extensions to this definition were excluded. The search strategy yielded 74 papers appropriate for this review; 60 of these provided an explicit definition of equity, with a further 14 papers discussing implicit elements of equity that the authors endorsed in regards to healthcare resource allocation decision making. FIVE KEY THEMES EMERGED: i) Equalisation across the health service supply/access/outcome chain, ii) Need or potential to benefit, iii) Groupings of equalisation, iv) Caveats to equalisation, and v) Close enough is good enough. There is great inconsistency in definitions of equity endorsed by different authors. Operational definitions of equity need to be more explicit in addressing these five thematic areas before they can be directly applied to healthcare resource allocation decisions. Copyright © 2016 Elsevier Ltd. All rights reserved.

  16. Resource allocation for relay assisted cognitive radio networks

    Zafar, Ammar


    In this paper, we present two optimal resource allocation schemes that maximize throughput and symbol correct rate (SCR). The throughput and SCR are derived. The derived throughput and SCR are optimized with respect to the sensing time, the source transmission power and the relay transmission power. Numerical results show that the optimal sensing time is dependent on the primary user\\'s signal-to-noise-ratio (SNR). They also show that SCR increases with increase in the number of relays. © 2012 IEEE.

  17. The JPL Resource Allocation Planning and Scheduling Office (RAPSO) process

    Morris, D. G.; Burke, E. S.


    The Jet Propulsion Laboratory's Resource Allocation Planning and Scheduling Office is chartered to divide the limited amount of tracking hours of the Deep Space Network amongst the various missions in as equitable allotment as can be achieved. To best deal with this division of assets and time, an interactive process has evolved that promotes discussion with agreement by consensus between all of the customers that use the Deep Space Network (DSN). Aided by a suite of tools, the task of division of asset time is then performed in three stages of granularity. Using this approach, DSN loads are either forecasted or scheduled throughout a moving 10-year window.

  18. Mobile devices and computing cloud resources allocation for interactive applications

    Krawczyk Henryk


    Full Text Available Using mobile devices such as smartphones or iPads for various interactive applications is currently very common. In the case of complex applications, e.g. chess games, the capabilities of these devices are insufficient to run the application in real time. One of the solutions is to use cloud computing. However, there is an optimization problem of mobile device and cloud resources allocation. An iterative heuristic algorithm for application distribution is proposed. The algorithm minimizes the energy cost of application execution with constrained execution time.

  19. China Adjusts Natural Gas Price for Better Allocation of Resources

    Luo Shichao


    @@ China has recently increased the wholesale prices of natural gas by around 25 percent to curb demand and better allocate resources.Natural gas benchmark prices went up by 230 yuan to 1,155 yuan per thousand cubic meters,according to the announcement made by the National Development and Reform Commission(NDRC)at the end of May."It is necessary to make the adjustment,as the country's natural gas price is significantly lower than that of other fuels,"said Cap Changqing,head of NDRC's pricing department.

  20. Network resource allocation attack detection with long range dependence

    WANG Xin; FANG Bin-xing


    The approach of traffic abnormality detection of network resource allocation attack did not have reliable signatures to depict abnormality and identify them. However, it is crucial for us to detect attacks accurately.The technique that we adopted is inspired by long range dependence ideas. We use the number of packet arrivals of a flow in fixed-length time intervals as the signal and attempt to extend traffic invariant "self-similarity".We validate the effectiveness of the approach with simulation and trace analysis.

  1. The Implementation of Innovation and Resource Allocation with Nanotechnology


    All natural and living systems are governed by atomic and molecular behavior at the nanoscale. Research is now seeking systematic approaches to create revolutionary new products and technologies by control of matter at the same scale.Nanotechnology is expected to have a profound impact on our society.The vision,research and development strategy,and timeline of the nanotechnology initiative are presented by using several recent scientific discoveries, innovations and results from industry. This article demonstrates the implications of innovation for nanotechnology development. To deal with the innovation, a theory of nanotechnology development must come to terms with the developmental, organisational, and strategic dimensions of innovative resource allocation.

  2. Allocating Network Resources by Weight Between TCP Traffics

    xU ChangBiao(徐昌彪); LONG KePing(隆克平); YANG ShiZhong(杨士中)


    Under the current TCP/IP architecture, all TCP traffics compete for networkresources completely fairly, which makes it difficult to satisfy applications' versatile communicationrequirements. This paper presents an improved TCP congestion control mechanism where thecongestion window becomes ω(1 - b)W rather than (1 - b)W for every window W containing apacket loss. Theoretical analysis and simulation results show that it can be easily implementedwith less additional overhead and can easily perform network resource allocation by weightedparameter w for traffics under the similar communication environments, which can efficiently leadto guaranteed relative quality of services and improve network performances.

  3. CHEP2015: Dynamic Resource Allocation with arcControlTower

    Filipcic, Andrej; The ATLAS collaboration; Nilsen, Jon Kerr


    Distributed computing resources available for high-energy physics research are becoming less dedicated to one type of workflow and researchers’ workloads are increasingly exploiting modern computing technologies such as parallelism. The current pilot job management model used by many experiments relies on static dedicated resources and cannot easily adapt to these changes. The model used for ATLAS in Nordic countries and some other places enables a flexible job management system based on dynamic resources allocation. Rather than a fixed set of resources managed centrally, the model allows resources to be requested on the fly. The ARC Computing Element (ARC-CE) and ARC Control Tower (aCT) are the key components of the model. The aCT requests jobs from the ATLAS job mangement system (Panda) and submits a fully-formed job description to ARC-CEs. ARC-CE can then dynamically request the required resources from the underlying batch system. In this paper we describe the architecture of the model and the experience...

  4. Dynamic Resource Allocation with the arcControlTower

    Filipcic, Andrej; The ATLAS collaboration; Nilsen, Jon Kerr


    Distributed computing resources available for high-energy physics research are becoming less dedicated to one type of workflow and researchers’ workloads are increasingly exploiting modern computing technologies such as parallelism. The current pilot job management model used by many experiments relies on static dedicated resources and cannot easily adapt to these changes. The model used for ATLAS in Nordic countries and some other places enables a flexible job management system based on dynamic resources allocation. Rather than a fixed set of resources managed centrally, the model allows resources to be requested on the fly. The ARC Computing Element (ARC-CE) and ARC Control Tower (aCT) are the key components of the model. The aCT requests jobs from the ATLAS job management system (PanDA) and submits a fully-formed job description to ARC-CEs. ARC-CE can then dynamically request the required resources from the underlying batch system. In this paper we describe the architecture of the model and the experienc...

  5. Optimizing time and resource allocation trade-offs for investment into morphological and behavioral defense

    Steiner, Uli; Pfeiffer, Thomas


    Prey organisms are confronted with time and resource allocation trade-offs. Time allocation trade-offs partition time, for example, between foraging effort to acquire resources and behavioral defense. Resource allocation trade-offs partition the acquired resources between multiple traits, such as...... for and augment each other depending on predator densities and the effectiveness of the defense mechanisms. In the presence of time constraints, the model shows peak investment into morphological and behavioral defense at intermediate resource levels....

  6. Energy Efficient Resource Allocation for Phantom Cellular Networks

    Abdelhady, Amr


    Multi-tier heterogeneous networks have become an essential constituent for next generation cellular networks. Meanwhile, energy efficiency (EE) has been considered a critical design criterion along with the traditional spectral efficiency (SE) metric. In this context, we study power and spectrum allocation for the recently proposed two-tier network architecture known as phantom cellular networks. The optimization framework includes both EE and SE. First, we consider sparsely deployed cells experiencing negligible interference and assume perfect channel state information (CSI). For this setting, we propose an algorithm that finds the SE and EE resource allocation strategies. Then, we compare the performance of both design strategies versus number of users, and phantom cells share of the total available resource units (RUs). We aim to investigate the effect of some system parameters to achieve improved SE performance at a non-significant loss in EE performance, or vice versa. It is found that increasing phantom cells share of RUs decreases the SE performance loss due to EE optimization when compared with the optimized SE performance. Second, we consider the densely deployed phantom cellular networks and model the EE optimization problem having into consideration the inevitable interference and imperfect channel estimation. To this end, we propose three resource allocation strategies aiming at optimizing the EE performance metric of this network. Furthermore, we investigate the effect of changing some of the system parameters on the performance of the proposed strategies, such as phantom cells share of RUs, number of deployed phantom cells within a macro cell coverage, number of pilots and the maximum power available for transmission by the phantom cells BSs. It is found that increasing the number of pilots deteriorates the EE performance of the whole setup, while increasing maximum power available for phantom cells transmissions reduces the EE of the whole setup in a

  7. Resource allocation for phantom cellular networks: Energy efficiency vs spectral efficiency

    Abdelhady, Amr M.


    Multi-tier heterogeneous networks have become an essential constituent for next generation cellular networks. Mean-while, energy efficiency (EE) has been considered a critical design criterion along with the traditional spectral efficiency (SE) metric. In this context, we study power and spectrum allocation for the recently proposed two-tier network architecture known as phantom cellular networks. The optimization framework includes both EE and SE, where we propose an algorithm that finds the SE and EE resource allocation strategies for phantom cellular networks. Then, we compare the performance of both design strategies versus the number of users, and phantom cells share of the total number of available resource blocks. We aim to investigate the effect of some system parameters to achieve improved SE performance at a non-significant loss in EE performance, or vice versa. It was found that increasing phantom cells share of resource blocks decreases the SE performance loss due to EE optimization when compared with the optimized SE performance. © 2016 IEEE.

  8. Decomposition method for zonal resource allocation problems in telecommunication networks

    Konnov, I. V.; Kashuba, A. Yu


    We consider problems of optimal resource allocation in telecommunication networks. We first give an optimization formulation for the case where the network manager aims to distribute some homogeneous resource (bandwidth) among users of one region with quadratic charge and fee functions and present simple and efficient solution methods. Next, we consider a more general problem for a provider of a wireless communication network divided into zones (clusters) with common capacity constraints. We obtain a convex quadratic optimization problem involving capacity and balance constraints. By using the dual Lagrangian method with respect to the capacity constraint, we suggest to reduce the initial problem to a single-dimensional optimization problem, but calculation of the cost function value leads to independent solution of zonal problems, which coincide with the above single region problem. Some results of computational experiments confirm the applicability of the new methods.

  9. An OFDMA resource allocation algorithm based on coalitional games

    Bacci Giacomo


    Full Text Available Abstract This work investigates a fair adaptive resource management criterion (in terms of transmit powers and subchannel assignment for the uplink of an orthogonal frequency-division multiple access network, populated by mobile users with constraints in terms of target data rates. The inherent optimization problem is tackled with the analytical tools of coalitional game theory, and a practical algorithm based on Markov modeling is introduced. The proposed scheme allows the mobile devices to fulfill their rate demands exactly with a minimum utilization of network resources. Simulation results show that the average number of operations of the proposed iterative algorithm are much lower than K · N, where N and K are the number of allocated subcarriers and of mobile terminals.

  10. Joint scheduling and resource allocation for multiple video decoding tasks

    Foo, Brian; van der Schaar, Mihaela


    In this paper we propose a joint resource allocation and scheduling algorithm for video decoding on a resource-constrained system. By decomposing a multimedia task into decoding jobs using quality-driven priority classes, we demonstrate using queuing theoretic analysis that significant power savings can be achieved under small video quality degradation without requiring the encoder to adapt its transmitted bitstream. Based on this scheduling algorithm, we propose an algorithm for maximizing the sum of video qualities in a multiple task environment, while minimizing system energy consumption, without requiring tasks to reveal information about their performances to the system or to other potentially exploitative applications. Importantly, we offer a method to optimize the performance of multiple video decoding tasks on an energy-constrained system, while protecting private information about the system and the applications.

  11. Optimal resource allocation solutions for heterogeneous cognitive radio networks

    Babatunde Awoyemi


    Full Text Available Cognitive radio networks (CRN are currently gaining immense recognition as the most-likely next-generation wireless communication paradigm, because of their enticing promise of mitigating the spectrum scarcity and/or underutilisation challenge. Indisputably, for this promise to ever materialise, CRN must of necessity devise appropriate mechanisms to judiciously allocate their rather scarce or limited resources (spectrum and others among their numerous users. ‘Resource allocation (RA in CRN', which essentially describes mechanisms that can effectively and optimally carry out such allocation, so as to achieve the utmost for the network, has therefore recently become an important research focus. However, in most research works on RA in CRN, a highly significant factor that describes a more realistic and practical consideration of CRN has been ignored (or only partially explored, i.e., the aspect of the heterogeneity of CRN. To address this important aspect, in this paper, RA models that incorporate the most essential concepts of heterogeneity, as applicable to CRN, are developed and the imports of such inclusion in the overall networking are investigated. Furthermore, to fully explore the relevance and implications of the various heterogeneous classifications to the RA formulations, weights are attached to the different classes and their effects on the network performance are studied. In solving the developed complex RA problems for heterogeneous CRN, a solution approach that examines and exploits the structure of the problem in achieving a less-complex reformulation, is extensively employed. This approach, as the results presented show, makes it possible to obtain optimal solutions to the rather difficult RA problems of heterogeneous CRN.

  12. Assessing the efficiency of resource allocations in bandwidth-sharing networks

    I.M. Verloop (Maaike); R. Núñez Queija (Rudesindo (Sindo))


    textabstractResource allocation in bandwidth-sharing networks is inherently complex: The distributed nature of resource allocation management prohibits global coordination for efficiency, i.e., aiming at full resource usage at all times. In addition, it is well recognized that resource efficiency

  13. Assessing the efficiency of resource allocations in bandwidth-sharing networks

    Verloop, I.M.; Núñez-Queija, R.


    Resource allocation in bandwidth-sharing networks is inherently complex: the distributed nature of resource allocation management prohibits global coordination for efficiency, i.e., aiming at full resource usage at all times. In addition, it is well recognized that resource efficiency may conflict

  14. Optimal allocation of building blocks between nutrient uptake systems in a microbe.

    van den Berg, Hugo A; Kiselev, Yuri N; Orlov, Michael V


    A bacterial cell must distribute its molecular building blocks among various types of nutrient uptake systems. If the microbe is to maximize its average growth rate, this allocation of building blocks must be adjusted to the environmental availabilities of the various nutrients. The adjustments can be found from growth balancing considerations. We give a full proof of optimality and uniqueness of the optimal allocation regime for a simple model of microbial growth and internal stores kinetics. This proof suggests likely candidates for optimal control regimes in the case of a more realistic model. These candidate regimes differ with respect to the information that the cell's control system must have access to. We pay particular attention to one of the three candidates, a feedback regime based on a cellular control system that monitors only internal reserve densities. We show that allocation converges rapidly to balanced growth under this control regime.

  15. A Novel Algorithm for Optimizing Multiple Services Resource Allocation

    Amjad Gawanmeh


    Full Text Available Resource provisioning becomes more and more challenging problem in cloud computing environment since cloudbased services become more numerous and dynamic. The problem of scheduling multiple tasks for multiple users on a given number of resources is considered NP-Complete problem, and therefore, several heuristic based research methods were proposed, yet, there are still many improvements can be done, since the problem has several optimization parameters. In addition, most proposed solutions are built on top of several assumptions and simplifications by applying computational methods such as game theory, fuzzy logic, or evolutionary computing. This paper presents an algorithm to address the problem of resource allocation across a cloud-based network, where several resources are available, and the cost of computational service depends on the amount of computation. The algorithm is applicable without restrictions on cost vector or compaction time matrix as opposed to methods in the literature. In addition, the execution of the algorithm shows better utility compared to methods applied on similar problems.

  16. A Comparative Study on Resource Allocation Policies in Cloud Computing Environment

    Bhavani B H


    Full Text Available Cloud computing is one of the latest models used for sharing pool of resources like CPU, memory, network bandwidth, hard drive etc. over the Internet. These resources are requested by the cloud user and are used on a rented basis just like electricity, water, LPG etc. When requests are made by the cloud user, allocation has to be done by the cloud service provider. With the limited amount of resources available, resource allocation becomes a challenging task for the cloud service provider as the resources are to be virtualized and allocated. These resources can be allocated dynamically or statically based on the type of request made by the cloud user and also depending on the application. In this paper, survey on both Static and Dynamic Allocation techniques are made. Also, comparison of both static and dynamic resource allocation techniques is made.

  17. Spectrum sensing and resource allocation for multicarrier cognitive radio systems under interference and power constraints

    Dikmese, Sener; Srinivasan, Sudharsan; Shaat, Musbah; Bader, Faouzi; Renfors, Markku


    Multicarrier waveforms have been commonly recognized as strong candidates for cognitive radio. In this paper, we study the dynamics of spectrum sensing and spectrum allocation functions in cognitive radio context using very practical signal models for the primary users (PUs), including the effects of power amplifier nonlinearities. We start by sensing the spectrum with energy detection-based wideband multichannel spectrum sensing algorithm and continue by investigating optimal resource allocation methods. Along the way, we examine the effects of spectral regrowth due to the inevitable power amplifier nonlinearities of the PU transmitters. The signal model includes frequency selective block-fading channel models for both secondary and primary transmissions. Filter bank-based wideband spectrum sensing techniques are applied for detecting spectral holes and filter bank-based multicarrier (FBMC) modulation is selected for transmission as an alternative multicarrier waveform to avoid the disadvantage of limited spectral containment of orthogonal frequency-division multiplexing (OFDM)-based multicarrier systems. The optimization technique used for the resource allocation approach considered in this study utilizes the information obtained through spectrum sensing and knowledge of spectrum leakage effects of the underlying waveforms, including a practical power amplifier model for the PU transmitter. This study utilizes a computationally efficient algorithm to maximize the SU link capacity with power and interference constraints. It is seen that the SU transmission capacity depends critically on the spectral containment of the PU waveform, and these effects are quantified in a case study using an 802.11-g WLAN scenario.

  18. Location-Based Resource Allocation for OFDMA Cognitive Radio Systems

    Ghorbel, Mahdi


    Cognitive radio is one of the hot topics for emerging and future wireless communication. It has been proposed as a suitable solution for the spectrum scarcity caused by the increase in frequency demand. The concept is based on allowing unlicensed users, called cognitive or secondary users, to share the unoccupied frequency bands with their owners, called the primary users, under constraints on the interference they cause to them. In order to estimate this interference, the cognitive system usually uses the channel state information to the primary user, which is often impractical to obtain. However, we propose to use location information, which is easier to obtain, to estimate this interference. The purpose of this work is to propose a subchannel and power allocation method which maximizes the secondary users\\' total capacity under the constraints of limited budget power and total interference to the primary under certain threshold. We model the problem as a constrained optimization problem for both downlink and uplink cases. Then, we propose low-complexity resource allocation schemes based on the waterfilling algorithm. The simulation results show the efficiency of the proposed method with comparison to the exhaustive search algorithm.

  19. Software for Allocating Resources in the Deep Space Network

    Wang, Yeou-Fang; Borden, Chester; Zendejas, Silvino; Baldwin, John


    TIGRAS 2.0 is a computer program designed to satisfy a need for improved means for analyzing the tracking demands of interplanetary space-flight missions upon the set of ground antenna resources of the Deep Space Network (DSN) and for allocating those resources. Written in Microsoft Visual C++, TIGRAS 2.0 provides a single rich graphical analysis environment for use by diverse DSN personnel, by connecting to various data sources (relational databases or files) based on the stages of the analyses being performed. Notable among the algorithms implemented by TIGRAS 2.0 are a DSN antenna-load-forecasting algorithm and a conflict-aware DSN schedule-generating algorithm. Computers running TIGRAS 2.0 can also be connected using SOAP/XML to a Web services server that provides analysis services via the World Wide Web. TIGRAS 2.0 supports multiple windows and multiple panes in each window for users to view and use information, all in the same environment, to eliminate repeated switching among various application programs and Web pages. TIGRAS 2.0 enables the use of multiple windows for various requirements, trajectory-based time intervals during which spacecraft are viewable, ground resources, forecasts, and schedules. Each window includes a time navigation pane, a selection pane, a graphical display pane, a list pane, and a statistics pane.

  20. Resource Allocation and Relay Selection for Collaborative Communications

    Astaneh, Saeed Akhavan


    We investigate the relay selection problem for a decode and forward collaborative network. Users are able to collaborate; decode messages of each other, re-encode and forward along with their own messages. We study the performance obtained from collaboration in terms of 1) increasing the achievable rate, 2) saving the transmit energy and 3) reducing the resource requirement (resource means time-bandwidth). To ensure fairness, we fix the transmit-energy-to-rate ratio among all users. We allocate resource optimally for the collaborative protocol (CP), and compare the result with the non-collaborative protocol (NCP) where users transmits their messages directly. The collaboration gain is a function of the channel gain and available energies and allows us 1) to decide to collaborate or not, 2) to select one relay among the possible relay users, and 3) to determine the involved gain and loss of possible collaboration. A considerable gain can be obtained if the direct source-destination channel gain is significantl...

  1. Playing games against nature: optimal policies for renewable resource allocation

    Ermon, Stefano; Gomes, Carla P; Selman, Bart


    In this paper we introduce a class of Markov decision processes that arise as a natural model for many renewable resource allocation problems. Upon extending results from the inventory control literature, we prove that they admit a closed form solution and we show how to exploit this structure to speed up its computation. We consider the application of the proposed framework to several problems arising in very different domains, and as part of the ongoing effort in the emerging field of Computational Sustainability we discuss in detail its application to the Northern Pacific Halibut marine fishery. Our approach is applied to a model based on real world data, obtaining a policy with a guaranteed lower bound on the utility function that is structurally very different from the one currently employed.

  2. A Heuristic Algorithm for Resource Allocation/Reallocation Problem

    S. Raja Balachandar


    Full Text Available This paper presents a 1-opt heuristic approach to solve resource allocation/reallocation problem which is known as 0/1 multichoice multidimensional knapsack problem (MMKP. The intercept matrix of the constraints is employed to find optimal or near-optimal solution of the MMKP. This heuristic approach is tested for 33 benchmark problems taken from OR library of sizes upto 7000, and the results have been compared with optimum solutions. Computational complexity is proved to be (2 of solving heuristically MMKP using this approach. The performance of our heuristic is compared with the best state-of-art heuristic algorithms with respect to the quality of the solutions found. The encouraging results especially for relatively large-size test problems indicate that this heuristic approach can successfully be used for finding good solutions for highly constrained NP-hard problems.

  3. Radio resource allocation in OFDMA multi-cell networks

    Detti, Paolo; Abrardo, Andrea


    In this paper, the problem of allocating users to radio resources (i.e., subcarriers) in the downlink of an OFDMA cellular network is addressed. We consider a multi-cellular environment with a realistic interference model and a margin adaptive approach, i.e., we aim at minimizing total transmission power while maintaining a certain given rate for each user. The computational complexity issues of the resulting model is discussed and proving that the problem is NP-hard in the strong sense. Heuristic approaches, based on network flow models, that finds optima under suitable conditions, or "reasonably good" solutions in the general case are presented. Computational experiences show that, in a comparison with a commercial state-of-the-art optimization solver, the proposed algorithms are effective in terms of solution quality and CPU times.

  4. Cognitive radio based optimal channel sensing and resources allocation

    Vijayasarveswari, V.; Khatun, S.; Fakir, M. M.; Nayeem, M. N.; Kamarudin, L. M.; Jakaria, A.


    Cognitive radio (CR) is the latest type of wireless technoloy that is proposed to mitigate spectrum saturation problem. İn cognitve radio, secondary user will use primary user's spectrum during primary user's absence without interupting primary user's transmission. This paper focuses on practical cognitive radio network development process using Android based smart phone for the data transmission. Energy detector based sensing method was proposed and used here because it doesnot require primary user's information. Bluetooth and Wi-fi are the two available types of spectrum that was sensed for CR detection. Simulation showed cognitive radio network can be developed using Android based smart phones. So, a complete application was developed using Java based Android Eclipse program. Finally, the application was uploaded and run on Android based smart phone to form and verify CR network for channel sensing and resource allocation. The observed efficiency of the application was around 81%.

  5. Resource allocation in academic health centers: creating common metrics.

    Joiner, Keith A; Castellanos, Nathan; Wartman, Steven A


    Optimizing resource allocation is essential for effective academic health center (AHC) management, yet guidelines and principles for doing so in the research and educational arenas remain limited. To address this issue, the authors analyzed responses to the 2007-2008 Association of Academic Health Centers census using ratio analysis. The concept was to normalize data from an individual institution to that same institution, by creating a ratio of two separate values from the institution (e.g., total faculty FTEs/total FTEs). The ratios were then compared across institutions. Generally, this strategy minimizes the effect of institution size on the responses, size being the predominant limitation of using absolute values for developing meaningful metrics. In so doing, ratio analysis provides a range of responses that can be displayed in graphical form to determine the range and distribution of values. The data can then be readily scrutinized to determine where any given institution falls within the distribution. Staffing ratios and operating ratios from up to 54 institutions are reported. For ratios including faculty numbers in the numerator or denominator, the range of values is wide and minimally discriminatory, reflecting heterogeneity across institutions in faculty definitions. Values for financial ratios, in particular total payroll expense/total operating expense, are more tightly clustered, reflecting in part the use of units with a uniform definition (i.e., dollars), and emphasizing the utility of such ratios in decision guidelines. The authors describe how to apply these insights to develop metrics for resource allocation in the research and educational arenas.

  6. Development of a Resource Allocation Model Using Competitive Advantage

    Sangwon Lee


    Full Text Available In general, during decision making or negotiations, the investor and the investee may often have different opinions which result in conflicts. So, an objective standard to mitigate potential conflicts between investors and investees should be provided since it is highly important that rational decisions must be made when choosing investments from various options. However, the models currently used come with some problems for several reasons, for instance, the arbitrariness of the evaluator, the difficulty in understanding the relationships that exist among the various investment options (that is, alternatives to investments, inconsistency in priorities, and simply providing selection criteria without detailing the proportion of investment in each option or evaluating only a single investment option at a time without considering all options. Thus, in this research, we present a project selection model which can enable reasonable resource allocation or determination of return rates by considering the core competencies for various investment options. Here, core competency is based on both performance and ability to create a competitive advantage. For this, we deduce issue-specific structural power indicators and analyze quantitatively the resource allocation results based on negotiation power. Through this, it is possible to examine whether the proposed project selection model considers core competencies or not by comparing several project selection models currently used. Furthermore, the proposed model can be used on its own, or in combination with other methods. Consequently, the presented model can be used as a quantitative criterion for determining behavioral tactics, and also can be used to mitigate potential conflicts between the investor and the investee who are considering idiosyncratic investments, determined by an interplay between power and core competency.




    Full Text Available An efficient resource allocation is one of the greatest challenges in wireless cellular communication. The resource allocation schemes avoid wastage of resources by allocating resources to a mobile terminal over a short period of time, providing quality of service over wireless networks is the most stressing point for service providers. In general a high degree of sharing is efficient, but requires service protection mechanisms to guarantee the QoS for all services. In this paper we address the multi cell interference on overall radio resource utilization and propose a new strategy for resource allocation in multi cell systems. we also propose a joint management of interference within and between cells for allocation of radio resources , Simulation results are showing that there is a significant improvement in the resource utilization so that overall network performance.

  8. Resource Allocation for Vertical Sectorization in LTE-Advanced Systems

    Lei Song


    Full Text Available Massive multiple input multiple output (MIMO technology has been discussed widely in the past few years. Three-dimensional MIMO (3D MIMO can be seen as a promising technique to realize massive MIMO to enhance the performance of LTE-Advanced systems. Vertical sectorization can be introduced by means of adjusting the downtilt of transmitting antennas. Thus, the radiowave from a base station (BS to a group of user equipments (UE can be divided into two beams which point at two different areas within a cell. Intrasector interference is inevitable since the resources are overlapped. In this paper, the influence of intrasector interference is analyzed and an enhanced resource allocation scheme for vertical sectorization is proposed as a method of interference cancellation. Compared with the conventional 2D MIMO scenarios, cell average throughput of the whole system can be improved by vertical sectorization. System level simulation is performed to evaluate the performance of the proposed scheme. In addition, the impacts of downtilt parameters and intersite distance (ISD on spectral efficiency and cell coverage are presented.

  9. Dynamic optical resource allocation for mobile core networks with software defined elastic optical networking.

    Zhao, Yongli; Chen, Zhendong; Zhang, Jie; Wang, Xinbo


    Driven by the forthcoming of 5G mobile communications, the all-IP architecture of mobile core networks, i.e. evolved packet core (EPC) proposed by 3GPP, has been greatly challenged by the users' demands for higher data rate and more reliable end-to-end connection, as well as operators' demands for low operational cost. These challenges can be potentially met by software defined optical networking (SDON), which enables dynamic resource allocation according to the users' requirement. In this article, a novel network architecture for mobile core network is proposed based on SDON. A software defined network (SDN) controller is designed to realize the coordinated control over different entities in EPC networks. We analyze the requirement of EPC-lightpath (EPCL) in data plane and propose an optical switch load balancing (OSLB) algorithm for resource allocation in optical layer. The procedure of establishment and adjustment of EPCLs is demonstrated on a SDON-based EPC testbed with extended OpenFlow protocol. We also evaluate the OSLB algorithm through simulation in terms of bandwidth blocking ratio, traffic load distribution, and resource utilization ratio compared with link-based load balancing (LLB) and MinHops algorithms.

  10. Power Allocation for Discrete-Input Non-Ergodic Block-Fading Channels

    Nguyen, Khoa D; Rasmussen, Lars K


    We consider power allocation algorithms for fixed-rate transmission over Nakagami-m non-ergodic block-fading channels with perfect transmitter and receiver channel state information and discrete input signal constellations under both short- and long-term power constraints. Optimal power allocation schemes are shown to be direct applications of previous results in the literature. We show that the SNR exponent of the optimal short-term scheme is given by the Singleton bound. We also illustrate the significant gains available by employing long-term power constraints. Due to the nature of the expressions involved, the complexity of optimal schemes may be prohibitive for system implementation. We propose simple sub-optimal power allocation schemes whose outage probability performance is very close to the minimum outage probability obtained by optimal schemes.

  11. Improved Channel Allocation and RLC block scheduling for Downlink traffic in GPRS

    Wang, Haibo; Devendra, Devendra; Zhou, Xin

    This paper investigates the Radio Resource Management (RRM) approaches for GSM/GPRS networks. The effort was put on Access Control(AC), Time-Slot (TS) allocation, and Radio Link Control (RLC) packet scheduling for down-link performance enhancement. A new credit-based algorithm was proposed...

  12. Improved Channel Allocation and RLC block scheduling for Downlink traffic in GPRS

    Wang, Haibo; Devendra, Devendra; Zhou, Xin

    This paper investigates the Radio Resource Management (RRM) approaches for GSM/GPRS networks. The effort was put on Access Control(AC), Time-Slot (TS) allocation, and Radio Link Control (RLC) packet scheduling for down-link performance enhancement. A new credit-based algorithm was proposed...

  13. Photoreceptor effects on plant biomass, resource allocation, and metabolic state.

    Yang, Deyue; Seaton, Daniel D; Krahmer, Johanna; Halliday, Karen J


    Plants sense the light environment through an ensemble of photoreceptors. Members of the phytochrome class of light receptors are known to play a critical role in seedling establishment, and are among the best-characterized plant signaling components. Phytochromes also regulate adult plant growth; however, our knowledge of this process is rather fragmented. This study demonstrates that phytochrome controls carbon allocation and biomass production in the developing plant. Phytochrome mutants have a reduced CO2 uptake, yet overaccumulate daytime sucrose and starch. This finding suggests that even though carbon fixation is impeded, the available carbon resources are not fully used for growth during the day. Supporting this notion, phytochrome depletion alters the proportion of day:night growth. In addition, phytochrome loss leads to sizeable reductions in overall growth, dry weight, total protein levels, and the expression of CELLULOSE SYNTHASE-LIKE genes. Because cellulose and protein are major constituents of plant biomass, our data point to an important role for phytochrome in regulating these fundamental components of plant productivity. We show that phytochrome loss impacts core metabolism, leading to elevated levels of tricarboxylic acid cycle intermediates, amino acids, sugar derivatives, and notably the stress metabolites proline and raffinose. Furthermore, the already growth-retarded phytochrome mutants are less responsive to growth-inhibiting abiotic stresses and have elevated expression of stress marker genes. This coordinated response appears to divert resources from energetically costly biomass production to improve resilience. In nature, this strategy may be activated in phytochrome-disabling, vegetation-dense habitats to enhance survival in potentially resource-limiting conditions.

  14. Sustainability in Health care by Allocating Resources Effectively (SHARE) 10: operationalising disinvestment in a conceptual framework for resource allocation.

    Harris, Claire; Green, Sally; Elshaug, Adam G


    This is the tenth in a series of papers reporting a program of Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. After more than a decade of research, there is little published evidence of active and successful disinvestment. The paucity of frameworks, methods and tools is reported to be a factor in the lack of success. However there are clear and consistent messages in the literature that can be used to inform development of a framework for operationalising disinvestment. This paper, along with the conceptual review of disinvestment in Paper 9 of this series, aims to integrate the findings of the SHARE Program with the existing disinvestment literature to address the lack of information regarding systematic organisation-wide approaches to disinvestment at the local health service level. A framework for disinvestment in a local healthcare setting is proposed. Definitions for essential terms and key concepts underpinning the framework have been made explicit to address the lack of consistent terminology. Given the negative connotations of the word 'disinvestment' and the problems inherent in considering disinvestment in isolation, the basis for the proposed framework is 'resource allocation' to address the spectrum of decision-making from investment to disinvestment. The focus is positive: optimising healthcare, improving health outcomes, using resources effectively. The framework is based on three components: a program for decision-making, projects to implement decisions and evaluate outcomes, and research to understand and improve the program and project activities. The program consists of principles for decision-making and settings that provide opportunities to introduce systematic prompts and triggers to initiate disinvestment. The projects follow the steps in the disinvestment process. Potential methods and tools are presented, however the framework does not stipulate project design or conduct; allowing

  15. Evaluations of intergroup resource allocations: The role of theory of mind.

    Mulvey, Kelly Lynn; Buchheister, Kelley; McGrath, Kathleen


    The purpose of this study was to investigate the relations between children's social cognitive skills and their evaluations of resource allocations in intergroup contexts (N=73, 3-6years of age). Participants evaluated three snack-time resource allocation scenarios (self-disadvantaged, self-advantaged, and other-disadvantaged) in either a school ingroup or outgroup context. They evaluated the acceptability of the resource allocation and provided reasoning about their evaluation. Participants who had false belief theory of mind (FB ToM) competence were more likely than participants who did not have FB ToM to evaluate inequality as unacceptable. In addition, participants without FB ToM evaluated unequal allocations to another child as more okay in an outgroup condition than participants with FB ToM. Participants reasoned about their allocations differently depending on the context. Results reveal the importance of FB ToM for recognizing unfair resource allocations, especially in intergroup contexts.

  16. An improved resource allocation algorithm based on double auction for optical networks

    Duan, Xiaolin; Yang, Xiaolong; Shen, Huang; Chen, Qianbin


    For the resource allocation of optical network, grid economy can be introduced to optimize the utilization of resource. Double auction algorithm is appropriate for grid economy, but the speed of convergence of many algorithms is too slow. In this paper we proposed double auction supported optical resource scheduling framework, and then described an improved algorithm on double auction based resource allocation for optical network. We attempt to speed the course of auction and utilize price parameter to adjust the overlay. Simulation results show that our scheme can optimize the equilibrium of overlay, and optical resource can be allocated and scheduled efficiently.

  17. A Decentralized Heuristic Approach towards Resource Allocation in Femtocell Networks

    Kyung-Geun Lee


    Full Text Available Femtocells represent a novel configuration for existing cellular communication, contributing towards the improvement of coverage and throughput. The dense deployment of these femtocells causes significant femto-macro and femto-femto interference, consequently deteriorating the throughput of femtocells. In this study, we compare two heuristic approaches, i.e., particle swarm optimization (PSO and genetic algorithm (GA, for joint power assignment and resource allocation, within the context of the femtocell environment. The supposition made in this joint optimization is that the discrete power levels are available for the assignment. Furthermore, we have employed two variants of each PSO and GA: inertia weight and constriction factor model for PSO, and twopoint and uniform crossover for GA. The two proposed algorithms are in a decentralized manner, with no involvement of any centralized entity. The comparison is carried out between the two proposed algorithms for the aforementioned joint optimization problem. The contrast includes the performance metrics: including average objective function, min–max throughput of the femtocells, average throughput of the femto users, outage rate and time complexity. The results demonstrate that the decentralized PSO constriction factor outperforms the others in terms of the aforementioned performance metrics.

  18. Resource allocation and MIMO for 4G and beyond


    This book presents the underlying technological breakthroughs that allowed the current state of wireless technology development to evolve. The book focuses on the two lower layers of the ISO/OSI layered model, specifically the physical and data link layers including the media access control sub-layer. These two layers are of particular importance to wireless systems due to the spectrum shortage, the broadcast nature of interference, and time variability in the wireless channel. Topics covered in this book include: radio resource allocation (RRA) for emerging architectures such as Coordinated Multipoint (CoMP) and Device-to-Device communications (D2D); RRA for quality of service control; propagation and transceiver aspects of MIMO systems; and the design and selection of MIMO multiuser precoders. The proposed approaches for RRA and MIMO are applicable to mobile communication standards such as 3GPP’s LTE and LTE-Advanced, but also apply further to the continuously evolving wireless access technologies lan...

  19. Optimum Resource Allocation and Eliminating Waste Inside Food Industry

    Chandru Nagarajan Sathiyabama


    Full Text Available This article seeks to allocate optimum resources for wrapping section and suggesting a suitable method that need to be in place for successful elimination of waste inside the food industry wrapping section. It also includes identifying the main reasons for various types of wastages inside wrapping section and cost of all the wastages. The paper is based on the observation and research using the approach of lean tools and techniques. The methodology used for evaluating data is value stream mapping and some statistical SPSS tools for analysis. Data’s are real and are gathered from three different production shifts inside a food industry wrapping section. The main reasons for wastages inside the wrapping section are highlighted. Finally, the paper was concluded by estimating total cost of wastages and recommended suitable way to save the wastage costs. The need of change of jaws inside the wrapping machines, regular maintenance of all machines throughout the industry and training the personnel are recommended. The possible methods along with its benefits to reduce waste, operators, improve productivity and business growth was also highlighted.

  20. Fuzzy logic association: performance, implementation issues, and automated resource allocation

    Smith, James F., III


    A recursive multisensor association algorithm has been developed based on fuzzy logic. It associates data from the same target for multiple sensor types. The algorithm provides an estimate of the number of targets present and reduced noise estimates of the quantities being measured. Uncertain information from many sources including other algorithms can be easily incorporated. A comparison of the algorithm to a more conventional Bayesian association algorithm is provided. The algorithm is applied to a multitarget environment for simulated data. The data from both the ESM and radar systems is noisy and the ESM data is intermittent. The radar data has probability of detection less than unity. The effects on parameter estimation, determination of the number of targets, and multisensor data association is examined for the case of a large number of targets closely spaced in the RF-PRI plane. When a sliding window is introduced to minimize memory and CPU requirements the algorithm is shown to lose little in performance, while gaining significantly in speed. The algorithm's CPU usage, computational complexity, and real-time implementation requirements are examined. Finally, the algorithm will be considered as an association algorithm for a multifunction antenna that makes use of fuzzy logic for resource allocation.

  1. Algorithms for the minimum spanning tree problem with resource allocation

    Seiji Kataoka


    Full Text Available We formulate the minimum spanning tree problem with resource allocation (MSTRA in two ways, as discrete and continuous optimization problems (d-MSTRA/c-MSTRA, prove these to be NP-hard, and present algorithms to solve these problems to optimality. We reformulate d-MSTRA as the knapsack constrained minimum spanning tree problem, and solve this problem using a previously published branch-and-bound algorithm. By applying a ‘peg test’, the size of d-MSTRA is (significantly reduced. To solve c-MSTRA, we introduce the concept of f-fractionalsolution, and prove that an optimal solution can be found within this class of solutions. Based on this fact, as well as conditions for ‘pruning’ subproblems, we develop an enumerative algorithm to solve c-MSTRA to optimality. We implement these algorithms in ANSI C programming language and, through extensive numerical tests, evaluate the performance of the developed codes on various types of instances.

  2. Dynamic resource allocation scheme for distributed heterogeneous computer systems

    Liu, Howard T. (Inventor); Silvester, John A. (Inventor)


    This invention relates to a resource allocation in computer systems, and more particularly, to a method and associated apparatus for shortening response time and improving efficiency of a heterogeneous distributed networked computer system by reallocating the jobs queued up for busy nodes to idle, or less-busy nodes. In accordance with the algorithm (SIDA for short), the load-sharing is initiated by the server device in a manner such that extra overhead in not imposed on the system during heavily-loaded conditions. The algorithm employed in the present invention uses a dual-mode, server-initiated approach. Jobs are transferred from heavily burdened nodes (i.e., over a high threshold limit) to low burdened nodes at the initiation of the receiving node when: (1) a job finishes at a node which is burdened below a pre-established threshold level, or (2) a node is idle for a period of time as established by a wakeup timer at the node. The invention uses a combination of the local queue length and the local service rate ratio at each node as the workload indicator.

  3. Revised BCS resource-allocation methodology. Final report


    An evaluation of the methodology of the Resource Allocation's Model (RAM), developed to assist in developing an efficient research, development, and demonstration program for energy conserving technologies in the residential and commercial sectors, is presented. This evaluation begins by classifying the technologies according to the markets in which they will compete once they are commercialized. Within each market group, the probable costs of the new technologies are compared to the cost of the competitive conventional product. This information is used to calculate the expected energy savings of each portfolio of projects. Portfolios are then ranked in order of increasing energy savings, and estimates made of the value of various levels of funded research in each functional use area. Finally, successful portfolios in different market groups are compared in a similar manner in order to identify the most efficient comprehensive portfolio at each research funding level. Section 2 describes the original methodology and presents some of the modifications that were made during this task. Section 3 discusses the specific changes that were made, including improvements to the model as well as the development of more reliable data. The revised methodology is then applied to one market group to demonstrate its capabilities and limitations. Section 4 includes a summary of the results and an updated set of RAM runs. The final section discusses the limitations of the modified methodology and describes the aspects of RAM that need further development.

  4. Intelligence Level and the Allocation of Resources for Creative Tasks: A Pupillometry Study

    Ojha, Amitash; Indurkhya, Bipin; Lee, Minho


    This pupillometry study examined the relationship between intelligence and creative cognition from the resource allocation perspective. It was hypothesized that, during a creative metaphor task, individuals with higher intelligence scores would have different resource allocation patterns than individuals with lower intelligence scores. The study…

  5. Henan Cancelled Regional Restriction on Bauxite Resources Allocation for Aluminum Oxide Enterprises


    Henan Province People’s Government recently printed and issued notice to announce the decision to adjust Henan’s key mineral resources allocation policy.Why should the mineral resources allocation policy need adjustment,what’s new about the new policy?



    This paper is concerned with the resource allocation problem based on data envelopment analysis(DEA)which is generally found in practice such as in public services and in production process.In management context,the resource allocation has to achieve the effective-efficient-equality aim and tries to balance the different desires of two management layers:central manager and each sector.In mathematical programming context,to solve the resource allocation asks for introducing many optimization techniques such as multiple-objective programming and goal programming.We construct an algorithm framework by using comprehensive DEA tools including CCR,BCC models,inverse DEA model,the most compromising common weights analysis model,and extra resource allocation algorithm.Returns to scale characteristic is put major place for analyzing DMUs' scale economies and used to select DMU candidates before resource allocation.By combining extra resource allocation algorithm with scale economies target,we propose a resource allocation solution,which can achieve the effective-efficient-equality target and also provide information for future resource allocation.Many numerical examples are discussed in this paper,which also verify our work.

  7. The Effects of Charter School Competition on School District Resource Allocation

    Arsen, David; Ni, Yongmei


    Purpose: This article examines two questions: (a) How does resource allocation change in school districts experiencing sustained charter school competition? (b) Among districts exposed to charter competition, are there differences in the resource allocation adjustments between those that do and do not succeed in stemming further enrollment loss to…

  8. Hardware Resource Allocation for Hardware/Software Partitioning in the LYCOS System

    Grode, Jesper Nicolai Riis; Knudsen, Peter Voigt; Madsen, Jan


    This paper presents a novel hardware resource allocation technique for hardware/software partitioning. It allocates hardware resources to the hardware data-path using information such as data-dependencies between operations in the application, and profiling information. The algorithm is useful...

  9. Minority Threat, Crime Control, and Police Resource Allocation in the Southwestern United States

    Holmes, Malcolm D.; Smith, Brad W.; Freng, Adrienne B.; Munoz, Ed A.


    Numerous studies have examined political influences on communities' allocations of fiscal and personnel resources to policing. Rational choice theory maintains that these resources are distributed in accordance with the need for crime control, whereas conflict theory argues that they are allocated with the aim of controlling racial and ethnic…

  10. Resource expenditure not resource allocation: response to McDougall on cloning and dignity.

    Williams, M J


    This paper offers some comments on bioethical debates about resource allocation in healthcare. It is stimulated by Rosalind McDougall's argument that it is an affront to the human dignity of people with below "liberties-level" health to fund human reproductive cloning. McDougall is right to underline the relevance of resource prioritisation to the ethics of research and provision of new biomedical technologies. This paper argues that bioethicists should be careful when offering comments about such issues. In particular, it emphasises the need to represent accurately the reality of the situation-especially when we are passing judgement on technologies that are in their infancy and whose practical application is yet to be confirmed. The paper also emphasises the importance of the actual context to bioethical debate, and note that it would be better to talk about resource expenditure rather than resource allocation when it comes to discussing the rights and wrongs of how money is spent. It also reiterates the claims made by other writers that social and political philosophy need to have a transparent and considered role in debates about resources.

  11. An Efficient Algorithm for Resource Allocation in Parallel and Distributed Computing Systems

    S.F. El-Zoghdy


    Full Text Available Resource allocation in heterogeneous parallel and distributed computing systems is the process of allocating user tasks to processing elements for execution such that some performance objective is optimized. In this paper, a new resource allocation algorithm for the computing grid environment is proposed. It takes into account the heterogeneity of the computational resources. It resolves the single point of failure problem which many of the current algorithms suffer from. In this algorithm, any site manager receives two kinds of tasks namely, remote tasks arriving from its associated local grid manager, and local tasks submitted directly to the site manager by local users in its domain. It allocates the grid workload based on the resources occupation ratio and the communication cost. The grid overall mean task response time is considered as the main performance metric that need to be minimized. The simulation results show that the proposed resource allocation algorithm improves the grid overall mean task response time. (Abstract

  12. A Bio-inspired Approach for Power and Performance Aware Resource Allocation in Clouds

    Kumar Rajesh


    Full Text Available In order to cope with increasing demand, cloud market players such as Amazon, Microsoft, Google, Gogrid, Flexiant, etc. have set up large sized data centers. Due to monotonically increasing size of data centers and heterogeneity of resources have made resource allocation a challenging task. A large percentage of total energy consumption of the data centers gets wasted because of under-utilization of resources. Thus, there is a need of resource allocation technique that improves the utilization of resources with effecting performance of services being delivered to end users. In this work, a bio-inspired resource allocation approach is proposed with the aim to improve utilization and hence the energy efficiency of the cloud infrastructure. The proposed approach makes use of Cuckoo search for power and performance aware allocation of resources to the services hired by the end users. The proposed approach is implemented in CloudSim. The simulation results have shown approximately 12% saving in energy consumption.

  13. How do people learn to allocate resources? Comparing two learning theories.

    Rieskamp, Jörg; Busemeyer, Jerome R; Laine, Tei


    How do people learn to allocate resources? To answer this question, 2 major learning models are compared, each incorporating different learning principles. One is a global search model, which assumes that allocations are made probabilistically on the basis of expectations formed through the entire history of past decisions. The 2nd is a local adaptation model, which assumes that allocations are made by comparing the present decision with the most successful decision up to that point, ignoring all other past decisions. In 2 studies, participants repeatedly allocated a capital resource to 3 financial assets. Substantial learning effects occurred, although the optimal allocation was often not found. From the calibrated models of Study 1, a priori predictions were derived and tested in Study 2. This generalization test shows that the local adaptation model provides a better account of learning in resource allocations than the global search model.

  14. Adversarial reasoning and resource allocation: the LG approach

    Stilman, Boris; Yakhnis, Vladimir; Umanskiy, Oleg; Boyd, Ron


    Many existing automated tools purporting to model the intelligent enemy utilize a fixed battle plan for the enemy while using flexible decisions of human players for the friendly side. According to the Naval Studies Board, "It is an open secret and a point of distress ... that too much of the substantive content of such M&S has its origin in anecdote, ..., or a narrow construction tied to stereotypical current practices of 'doctrinally correct behavior.'" Clearly, such runs lack objectivity by being heavily skewed in favor of the friendly forces. Presently, the military branches employ a variety of game-based simulators and synthetic environments, with manual (i.e., user-based) decision-making, for training and other purposes. However, without an ability to automatically generate the best strategies, tactics, and COA, the games serve mostly to display the current situation rather than form a basis for automated decision-making and effective training. We solve the problem of adversarial reasoning as a gaming problem employing Linguistic Geometry (LG), a new type of game theory demonstrating significant increase in size in gaming problems solvable in real and near-real time. It appears to be a viable approach for solving such practical problems as mission planning and battle management. Essentially, LG may be structured into two layers: game construction and game solving. Game construction includes construction of a game called an LG hypergame based on a hierarchy of Abstract Board Games (ABG). Game solving includes resource allocation for constructing an advantageous initial game state and strategy generation to reach a desirable final game state in the course of the game.

  15. Controlling collective dynamics in complex, minority-game resource-allocation systems

    Zhang, Ji-Qiang; Huang, Zi-Gang; Huang, Liang; Huang, Tie-Qiao; Lai, Ying-Cheng


    Resource allocation takes place in various kinds of real-world complex systems, such as the traffic systems, social services institutions or organizations, or even the ecosystems. The fundamental principle underlying complex resource-allocation dynamics is Boolean interactions associated with minority games, as resources are generally limited and agents tend to choose the least used resource based on available information. A common but harmful dynamical behavior in resource-allocation systems is herding, where there are time intervals during which a large majority of the agents compete for a few resources, leaving many other resources unused. Ac- companying the herd behavior is thus strong fluctuations with time in the number of resources being used. In this paper, we articulate and establish that an intuitive control strategy, namely pinning control, is effective at harnessing the herding dynamics. In particular, by fixing the choices of resources for a few agents while leaving majority of the agents free, h...

  16. Guidance Value of Marine Functional Zoning System to Allocation of China’s Marine Resources

    Yingzhi; CAO; Guanshun; HE


    The issue of marine resources is receiving closer and closer attention of national marine management authorities. For this issue,it is necessary to seek basis from legal institutions of marine functional zoning system. This paper analyzed basic connotation,development process and basic characteristics of marine functional zoning system,discussed internal relation between marine functional zoning system and marine resource allocation,and studied guidance value of marine functional zoning system to allocation of marine resources.

  17. A Dynamic Pricing Reverse Auction-Based Resource Allocation Mechanism in Cloud Workflow Systems

    Xuejun Li


    Full Text Available Market-oriented reverse auction is an efficient and cost-effective method for resource allocation in cloud workflow systems since it can dynamically allocate resources depending on the supply-demand relationship of the cloud market. However, during the auction the price of cloud resource is usually fixed, and the current resource allocation mechanisms cannot adapt to the changeable market properly which results in the low efficiency of resource utilization. To address such a problem, a dynamic pricing reverse auction-based resource allocation mechanism is proposed. During the auction, resource providers can change prices according to the trading situation so that our novel mechanism can increase the chances of making a deal and improve efficiency of resource utilization. In addition, resource providers can improve their competitiveness in the market by lowering prices, and thus users can obtain cheaper resources in shorter time which would decrease monetary cost and completion time for workflow execution. Experiments with different situations and problem sizes are conducted for dynamic pricing-based allocation mechanism (DPAM on resource utilization and the measurement of Time⁎Cost (TC. The results show that our DPAM can outperform its representative in resource utilization, monetary cost, and completion time and also obtain the optimal price reduction rates.

  18. A survey on resource allocation in high performance distributed computing systems

    Hussain, Hameed; Malik, Saif Ur Rehman; Hameed, Abdul; Khan, Samee Ullah; Bickler, Gage; Min-Allah, Nasro; Qureshi, Muhammad Bilal; Zhang, Limin; Yongji, Wang; Ghani, Nasir; Kolodziej, Joanna; Zomaya, Albert Y.; Xu, Cheng-Zhong; Balaji, Pavan; Vishnu, Abhinav; Pinel, Fredric; Pecero, Johnatan E.; Kliazovich, Dzmitry; Bouvry, Pascal; Li, Hongxiang; Wang, Lizhe; Chen, Dan; Rayes, Ammar


    An efficient resource allocation is a fundamental requirement in high performance computing (HPC) systems. Many projects are dedicated to large-scale distributed computing systems that have designed and developed resource allocation mechanisms with a variety of architectures and services. In our study, through analysis, a comprehensive survey for describing resource allocation in various HPCs is reported. The aim of the work is to aggregate under a joint framework, the existing solutions for HPC to provide a thorough analysis and characteristics of the resource management and allocation strategies. Resource allocation mechanisms and strategies play a vital role towards the performance improvement of all the HPCs classifications. Therefore, a comprehensive discussion of widely used resource allocation strategies deployed in HPC environment is required, which is one of the motivations of this survey. Moreover, we have classified the HPC systems into three broad categories, namely: (a) cluster, (b) grid, and (c) cloud systems and define the characteristics of each class by extracting sets of common attributes. All of the aforementioned systems are cataloged into pure software and hybrid/hardware solutions. The system classification is used to identify approaches followed by the implementation of existing resource allocation strategies that are widely presented in the literature.

  19. Rate Adaptive Based Resource Allocation with Proportional Fairness Constraints in OFDMA Systems.

    Yin, Zhendong; Zhuang, Shufeng; Wu, Zhilu; Ma, Bo


    Orthogonal frequency division multiple access (OFDMA), which is widely used in the wireless sensor networks, allows different users to obtain different subcarriers according to their subchannel gains. Therefore, how to assign subcarriers and power to different users to achieve a high system sum rate is an important research area in OFDMA systems. In this paper, the focus of study is on the rate adaptive (RA) based resource allocation with proportional fairness constraints. Since the resource allocation is a NP-hard and non-convex optimization problem, a new efficient resource allocation algorithm ACO-SPA is proposed, which combines ant colony optimization (ACO) and suboptimal power allocation (SPA). To reduce the computational complexity, the optimization problem of resource allocation in OFDMA systems is separated into two steps. For the first one, the ant colony optimization algorithm is performed to solve the subcarrier allocation. Then, the suboptimal power allocation algorithm is developed with strict proportional fairness, and the algorithm is based on the principle that the sums of power and the reciprocal of channel-to-noise ratio for each user in different subchannels are equal. To support it, plenty of simulation results are presented. In contrast with root-finding and linear methods, the proposed method provides better performance in solving the proportional resource allocation problem in OFDMA systems.

  20. Space Network Control (SNC) Conference on Resource Allocation Concepts and Approaches. Overview


    In session 1 of the conference, Concepts for space network resource allocation was the main topic. In session 2, Space Network Control and user payload operations and control center human-computer interface, was the topic of discussion. The topic of session 3 was Resource allocation tools, technology, and algorithms. Some of the stated goals for the conference are as follows: to survey existing resource allocation concepts and approaches; to identify solutions applicable to the SN problem; to identify fruitful avenues of study in support of SNC development; and to capture knowledge in proceedings and make available to bidders on the SNC concept definition procurement.

  1. MDP-based resource allocation for triple-play transmission on xDSL systems

    de Souza, Lamartine V.; de Carvalho, Glaucio H. S.; Cardoso, Diego L.; de Carvalho, Solon V.; Frances, Carlos R. L.; Costa, João C. W. A.; Riu, Jaume Rius i.


    Many broadband services are based on multimedia applications, such as voice over internet protocol (VoIP), video conferencing, video on demand (VoD), and internet protocol television (IPTV). The combination "triple-play" is often used with IPTV. It simply means offering voice, video and data. IPTV and others services uses digital broadband networks such as ADSL2+ (Asymmetric Digital Subscriber Line) and VDSL (Very High Rate DSL) to transmit the data. We have formulated a MDP (Markov Decision Process) for a triple-play transmission on DSL environment. In this paper, we establish the relationship between DSL transmission characteristics and its finite-state Markov model for a triple-play transmission system. This relationship can be used for a resource management for multimedia applications delivered through a broadband infrastructure. The solution to our optimization problem can be found using dynamic programming (DP) techniques, such as value iteration and its variants. Our study results in a transmission strategy that chooses the optimal resource allocation according the triple-play traffic requirements, defined in technical report TR-126 (Triple-Play Services Quality of Experience Requirements) from DSL Forum, minimizing quality of service (QoS) violations with respect to bandwidth. Three traffic classes (video, audio, and best effort internet data) are defined and analyzed. Our simulation results show parameters like as blocking probability for each class, link utilization and optimal control policies. The MDP-based approach provides a satisfactory way of resource management for a DSL system.

  2. Bandwidth Resource Dynamic Allocation in Differentiated Services Model%Diffserv中带宽代理BB的实现

    邱瑜; 朱淼良


    To employ Differentiated Services, efficient and flexible resource allocation mechanism is needed. Static bandwidth resource allocation Is not suitable for the situations in which traffic varies greatly with times. If customers bought bandwidth according to their highest traffic demands, some resource will be wasted when traffic load is light. On the other hand, the static allocated bandwidth may not satisfy the growing traffic demands. So it is necessary to allocate bandwidth resource in dynamic way. We bring up a prototype of BB, discussing the necessary components to realize the dynamic bandwidth resource allocation and further more, our BB can provides advanced reservation for bandwidth resource. Simulation tests show our design is feasible.

  3. Sources and resources: importance of nutrients, resource allocation, and ecology in microalgal cultivation for lipid accumulation.

    Fields, Matthew W; Hise, Adam; Lohman, Egan J; Bell, Tisza; Gardner, Rob D; Corredor, Luisa; Moll, Karen; Peyton, Brent M; Characklis, Gregory W; Gerlach, Robin


    Regardless of current market conditions and availability of conventional petroleum sources, alternatives are needed to circumvent future economic and environmental impacts from continued exploration and harvesting of conventional hydrocarbons. Diatoms and green algae (microalgae) are eukaryotic photoautotrophs that can utilize inorganic carbon (e.g., CO2) as a carbon source and sunlight as an energy source, and many microalgae can store carbon and energy in the form of neutral lipids. In addition to accumulating useful precursors for biofuels and chemical feed stocks, the use of autotrophic microorganisms can further contribute to reduced CO2 emissions through utilization of atmospheric CO2. Because of the inherent connection between carbon, nitrogen, and phosphorus in biological systems, macronutrient deprivation has been proven to significantly enhance lipid accumulation in different diatom and algae species. However, much work is needed to understand the link between carbon, nitrogen, and phosphorus in controlling resource allocation at different levels of biological resolution (cellular versus ecological). An improved understanding of the relationship between the effects of N, P, and micronutrient availability on carbon resource allocation (cell growth versus lipid storage) in microalgae is needed in conjunction with life cycle analysis. This mini-review will briefly discuss the current literature on the use of nutrient deprivation and other conditions to control and optimize microalgal growth in the context of cell and lipid accumulation for scale-up processes.

  4. Market-Based Mechanisms for Efficient Allocation of NAS Resources Project

    National Aeronautics and Space Administration — Both FAA and NASA research has highlighted the need for efficient and equitable allocation of NAS resources and increased operational flexibility. In particular,...

  5. From efficacy to equity: Literature review of decision criteria for resource allocation and healthcare decisionmaking

    Guindo, L.A.; Wagner, M.; Baltussen, R.M.; Rindress, D.; Til, J. van; Kind, P.; Goetghebeur, M.M.


    ABSTRACT: OBJECTIVES: Resource allocation is a challenging issue faced by health policy decisionmakers requiring careful consideration of many factors. Objectives of this study were to identify decision criteria and their frequency reported in the literature on healthcare decisionmaking. METHOD: An

  6. From efficacy to equity: Literature review of decision criteria for resource allocation and healthcare decisionmaking

    Guindo, L.A.; Wagner, M.; Baltussen, R.; Rindress, D.; Til, van J.A.; Kind, P.; Goetghebeur, M.


    Objectives Resource allocation is a challenging issue faced by health policy decisionmakers requiring careful consideration of many factors. Objectives of this study were to identify decision criteria and their frequency reported in the literature on healthcare decisionmaking. Method An extensive

  7. Resource allocation and budgetary mechanisms for decentralized health systems: experiences from Balochistan, Pakistan.

    Green, A; Ali, B; Naeem, A; Ross, D


    This paper identifies key political and technical issues involved in the development of an appropriate resource allocation and budgetary system for the public health sector, using experience gained in the Province of Balochistan, Pakistan. The resource allocation and budgetary system is a critical, yet often neglected, component of any decentralization policy. Current systems are often based on historical incrementalism that is neither efficient nor equitable. This article describes technical work carried out in Balochistan to develop a system of resource allocation and budgeting that is needs-based, in line with policies of decentralization, and implementable within existing technical constraints. However, the development of technical systems, while necessary, is not a sufficient condition for the implementation of a resource allocation and decentralized budgeting system. This is illustrated by analysing the constraints that have been encountered in the development of such a system in Balochistan.

  8. Assessing DRG cost accounting with respect to resource allocation and tariff calculation: the case of Germany

    Vogl, Matthias


    The purpose of this paper is to analyze the German diagnosis related groups (G-DRG) cost accounting scheme by assessing its resource allocation at hospital level and its tariff calculation at national level...

  9. A Study on Resource Allocation with Buying Behaviour in B to B Commerce

    Kaihara, Toshiya

    B to B commerce is an important research issue for increasing profitability in global market. A sophisticated B to B commerce requires optimality in resource allocation with human behaviour dynamism. A market-oriented programming calculates a Pareto-optimal resource allocation in the market by computing competitive equilibrium of an artificial economy. In this paper we newly propose a resource allocation algorithm based on market-oriented programming with consumers buying behaviour for B to B commerce. Supply agents in the computational market decide their supply plan by estimating the demand agents’ behaviour in this method. Careful constructions of the agents according to the buying behaviour can lead to efficient distributed resource allocation, and the behaviour of the agents can be analysed in economic terms.

  10. Elderly Care and Intrafamily Resource Allocation when Children Migrate

    Antman, Francisca M.


    This paper considers the intrafamily allocation of elderly care in the context of international migration where migrant children may be able to provide financial assistance to their parents but are unable to offer physical care. To investigate sibling interaction, I estimate best response functions for individual physical and financial…

  11. A Class of Dynamic Nonlinear Resource Allocation Problems


    algorithm and presents some numerical results in [5]. Matlin [6] provides a review of the literature on weapon-target allocation problems. Several...weapon, multi-target assignment problem," Working Paper 26957, MITRE, Feb. 1986. [6] S. M. Matlin , "A review of the literature on the missile

  12. On System Engineering a Barter-Based Re-allocation of Space System Key Development Resources

    Kosmann, William J.

    NASA has had a decades-long problem with cost growth during the development of space science missions. Numerous agency-sponsored studies have produced average mission level development cost growths ranging from 23 to 77%. A new study of 26 historical NASA science instrument set developments using expert judgment to re-allocate key development resources has an average cost growth of 73.77%. Twice in history, during the Cassini and EOS-Terra science instrument developments, a barter-based mechanism has been used to re-allocate key development resources. The mean instrument set development cost growth was -1.55%. Performing a bivariate inference on the means of these two distributions, there is statistical evidence to support the claim that using a barter-based mechanism to re-allocate key instrument development resources will result in a lower expected cost growth than using the expert judgment approach. Agent-based discrete event simulation is the natural way to model a trade environment. A NetLogo agent-based barter-based simulation of science instrument development was created. The agent-based model was validated against the Cassini historical example, as the starting and ending instrument development conditions are available. The resulting validated agent-based barter-based science instrument resource re-allocation simulation was used to perform 300 instrument development simulations, using barter to re-allocate development resources. The mean cost growth was -3.365%. A bivariate inference on the means was performed to determine that additional significant statistical evidence exists to support a claim that using barter-based resource re-allocation will result in lower expected cost growth, with respect to the historical expert judgment approach. Barter-based key development resource re-allocation should work on science spacecraft development as well as it has worked on science instrument development. A new study of 28 historical NASA science spacecraft

  13. Resource Allocation Model for Modelling Abstract RTOS on Multiprocessor System-on-Chip

    Virk, Kashif Munir; Madsen, Jan


    Resource Allocation is an important problem in RTOS's, and has been an active area of research. Numerous approaches have been developed and many different techniques have been combined for a wide range of applications. In this paper, we address the problem of resource allocation in the context of...... of modelling an abstract RTOS on multiprocessor SoC platforms. We discuss the implementation details of a simplified basic priority inheritance protocol for our abstract system model in SystemC....

  14. Modeling the evolution of phenotypic plasticity in resource allocation in wing-dimorphic insects.

    King, Elizabeth G; Roff, Derek A


    In nature, resource availability varies spatially and temporally both within and across generations, leading to variation in the amount of energy available to individuals. The optimal allocation strategy can change, depending on the amount of resources available to allocate to life-history functions. If so, selection should favor the evolution of allocation strategies that can respond to variation in environmental resource levels. We address this issue by using two quantitative genetic simulation models in a model system for studying trade-offs, wing-dimorphic insects. Wing dimorphic insects typically exhibit a trade-off in the allocation of resources between migratory ability and reproduction. In our models, we focus on allocation as a genetic trait and model the evolution of phenotypic plasticity in this trait in response to spatiotemporal variation in resource availability. We show that the evolved allocation strategy depends on the predictability of resource levels across time. Specifically, selection favors higher investment in flight under poor conditions in predictable environments and lower investment in unpredictable environments.

  15. New resource allocation scheme for cognitive relay networks with opportunistic access

    Zafar, Ammar


    In this paper, a new resource allocation scheme to minimize Symbol Error rate (SER) for relay assisted cognitive radio networks is studied. A cognitive relay network with amplify-and-forward (AF) fixed gain relays and opportunistic access to the licensed spectrum is considered. The SER objective function and the optimization constraints are derived first. The resource allocation algorithm is then derived using the Langrangian multiplier method. Closed form expressions are derived for the source and relay powers and, symbol time. Analytical results show that the optimal power allocation follows an extended water-filling solution. © 2012 IEEE.

  16. Dynamic pricing and automated resource allocation for complex information services reinforcement learning and combinatorial auctions

    Schwind, Michael; Fandel, G


    Many firms provide their customers with online information products which require limited resources such as server capacity. This book develops allocation mechanisms that aim to ensure an efficient resource allocation in modern IT-services. Recent methods of artificial intelligence, such as neural networks and reinforcement learning, and nature-oriented optimization methods, such as genetic algorithms and simulated annealing, are advanced and applied to allocation processes in distributed IT-infrastructures, e.g. grid systems. The author presents two methods, both of which using the users??? w

  17. Hybrid Genetic Crossover Based Swarm Intelligence Optimization for Efficient Resource Allocation in MIMO OFDM Systems

    B. Sathish Kumar


    Full Text Available Rapid development of wireless services, leads to ubiquitous personal connectivity in the world. The demand for multimedia interactivity is higher in the world which leads to the requirement of high data transmission rate. Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM is a future wireless service which is used to overcome the existing service problems such as development of subscriber pool and higher throughput per user. Although it overcomes the problems in existing services, resource allocation becomes one of the major issues in the MIMO-OFDM systems. Resource allocation in MIMO-OFDM is the optimization of subcarrier and power allocation for the user. The overall performance of the system can be improved only with the efficient resource allocation approach. The user data rate is increased by efficient allocation of the subcarrier and power allocation for each user at the base station, which is subject to constraints on total power and bit error rate. In this study, the problem of resource allocation in MIMO-OFDM system is tackled using hybrid artificial bee colony optimization algorithm based on a crossover operation along with Poisson-Jensen in equation. The experimental results show that the proposed methodology is better than the existing techniques.

  18. Evaluation of Water Resource Potential in Anhui Province Based on Allocation Model

    Zhenyu; XU; Yanlin; ZHOU


    The nature of water resources can be divided into four categories:water for life,water for agriculture,water for industry,and water for ecology.On this basis,the regional right allocation model for water resources is built,and to make the model more operable,we calculate the weight of the key factors of model(four different types of water use:life,agriculture,industry,ecology),using analytic hierarchy process(AHP).Finally,based on the amount of available water resources in Anhui Province,we evaluate the water resource potential in Anhui Province according to the principle of rational allocation.

  19. Practical Approaches to Adaptive Resource Allocation in OFDM Systems

    Ermolova NY


    Full Text Available Abstract Whenever a communication system operates in a time-frequency dispersive radio channel, the link adaptation provides a benefit in terms of any system performance metric by employing time, frequency, and, in case of multiple users, multiuser diversities. With respect to an orthogonal frequency division multiplexing (OFDM system, link adaptation includes bit, power, and subcarrier allocations. While the well-known water-filling principle provides the optimal solution for both margin-maximization and rate-maximization problems, implementation complexity often makes difficult its application in practical systems. This paper presents a few suboptimal (low-complexity adaptive loading algorithms for both single- and multiuser OFDM systems. We show that the single-user system performance can be improved by suitable power loading and an algorithm based on the incomplete channel state information is derived. At the same time, the power loading in a multiuser system only slightly affects performance while the initial subcarrier allocation has a rather big impact. A number of subcarrier allocation algorithms are discussed and the best one is derived on the basis of the order statistics theory.

  20. Practical Approaches to Adaptive Resource Allocation in OFDM Systems

    N. Y. Ermolova


    Full Text Available Whenever a communication system operates in a time-frequency dispersive radio channel, the link adaptation provides a benefit in terms of any system performance metric by employing time, frequency, and, in case of multiple users, multiuser diversities. With respect to an orthogonal frequency division multiplexing (OFDM system, link adaptation includes bit, power, and subcarrier allocations. While the well-known water-filling principle provides the optimal solution for both margin-maximization and rate-maximization problems, implementation complexity often makes difficult its application in practical systems. This paper presents a few suboptimal (low-complexity adaptive loading algorithms for both single- and multiuser OFDM systems. We show that the single-user system performance can be improved by suitable power loading and an algorithm based on the incomplete channel state information is derived. At the same time, the power loading in a multiuser system only slightly affects performance while the initial subcarrier allocation has a rather big impact. A number of subcarrier allocation algorithms are discussed and the best one is derived on the basis of the order statistics theory.

  1. Sustainability in health care by allocating resources effectively (SHARE) 4: exploring opportunities and methods for consumer engagement in resource allocation in a local healthcare setting.

    Harris, Claire; Ko, Henry; Waller, Cara; Sloss, Pamela; Williams, Pamela


    This is the fourth in a series of papers reporting a program of Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. Healthcare decision-makers have sought to improve the effectiveness and efficiency of services through removal or restriction of practices that are unsafe or of little benefit, often referred to as 'disinvestment'. A systematic, integrated, evidence-based program for disinvestment was being established within a large Australian health service network. Consumer engagement was acknowledged as integral to this process. This paper reports the process of developing a model to integrate consumer views and preferences into an organisation-wide approach to resource allocation. A literature search was conducted and interviews and workshops were undertaken with health service consumers and staff. Findings were drafted into a model for consumer engagement in resource allocation which was workshopped and refined. Although consumer engagement is increasingly becoming a requirement of publicly-funded health services and documented in standards and policies, participation in organisational decision-making is not widespread. Several consistent messages for consumer engagement in this context emerged from the literature and consumer responses. Opportunities, settings and activities for consumer engagement through communication, consultation and participation were identified within the resource allocation process. Sources of information regarding consumer values and perspectives in publications and locally-collected data, and methods to use them in health service decision-making, were identified. A model bringing these elements together was developed. The proposed model presents potential opportunities and activities for consumer engagement in the context of resource allocation.

  2. A mathematical modeling approach to resource allocation for railroad-highway crossing safety upgrades.

    Konur, Dinçer; Golias, Mihalis M; Darks, Brandon


    State Departments of Transportation (S-DOT's) periodically allocate budget for safety upgrades at railroad-highway crossings. Efficient resource allocation is crucial for reducing accidents at railroad-highway crossings and increasing railroad as well as highway transportation safety. While a specific method is not restricted to S-DOT's, sorting type of procedures are recommended by the Federal Railroad Administration (FRA), United States Department of Transportation for the resource allocation problem. In this study, a generic mathematical model is proposed for the resource allocation problem for railroad-highway crossing safety upgrades. The proposed approach is compared to sorting based methods for safety upgrades of public at-grade railroad-highway crossings in Tennessee. The comparison shows that the proposed mathematical modeling approach is more efficient than sorting methods in reducing accidents and severity.

  3. A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

    Hameed, Abdul; Khoshkbarforoushha, Alireza; Ranjan, Rajiv; Jayaraman, Prem Prakash; Kolodziej, Joanna; Balaji, Pavan; Zeadally, Sherali; Malluhi, Qutaibah Marwan; Tziritas, Nikos; Vishnu, Abhinav; Khan, Samee U.; Zomaya, Albert


    In a cloud computing paradigm, energy efficient allocation of different virtualized ICT resources (servers, storage disks, and networks, and the like) is a complex problem due to the presence of heterogeneous application (e.g., content delivery networks, MapReduce, web applications, and the like) workloads having contentious allocation requirements in terms of ICT resource capacities (e.g., network bandwidth, processing speed, response time, etc.). Several recent papers have tried to address the issue of improving energy efficiency in allocating cloud resources to applications with varying degree of success. However, to the best of our knowledge there is no published literature on this subject that clearly articulates the research problem and provides research taxonomy for succinct classification of existing techniques. Hence, the main aim of this paper is to identify open challenges associated with energy efficient resource allocation. In this regard, the study, first, outlines the problem and existing hardware and software-based techniques available for this purpose. Furthermore, available techniques already presented in the literature are summarized based on the energy-efficient research dimension taxonomy. The advantages and disadvantages of the existing techniques are comprehensively analyzed against the proposed research dimension taxonomy namely: resource adaption policy, objective function, allocation method, allocation operation, and interoperability.

  4. Overhead-Aware-Best-Fit (OABF) Resource Allocation Algorithm for Minimizing VM Launching Overhead

    Wu, Hao [IIT; Garzoglio, Gabriele [Fermilab; Ren, Shangping [IIT, Chicago; Timm, Steven [Fermilab; Noh, Seo Young [KISTI, Daejeon


    FermiCloud is a private cloud developed in Fermi National Accelerator Laboratory to provide elastic and on-demand resources for different scientific research experiments. The design goal of the FermiCloud is to automatically allocate resources for different scientific applications so that the QoS required by these applications is met and the operational cost of the FermiCloud is minimized. Our earlier research shows that VM launching overhead has large variations. If such variations are not taken into consideration when making resource allocation decisions, it may lead to poor performance and resource waste. In this paper, we show how we may use an VM launching overhead reference model to minimize VM launching overhead. In particular, we first present a training algorithm that automatically tunes a given refer- ence model to accurately reflect FermiCloud environment. Based on the tuned reference model for virtual machine launching overhead, we develop an overhead-aware-best-fit resource allocation algorithm that decides where and when to allocate resources so that the average virtual machine launching overhead is minimized. The experimental results indicate that the developed overhead-aware-best-fit resource allocation algorithm can significantly improved the VM launching time when large number of VMs are simultaneously launched.

  5. An Iterative Power Allocation Algorithm for Group-wise Space-Time Block Coding Systems

    ZHANG Hong-wei; ZHANG Hai-bin; SONG Wen-tao; LUO Han-wen; LIU Xing-zhao


    An iterative transmit power allocation (PA) algorithm was proposed for group-wise space-time block coding (G-STBC) systems with group-wise successive interference cancellation (GSIC) receivers.Group-wise interference suppression (GIS) filters are employed to separate each group's transmit signals from other interfer ences and noise.While the total power on all transmit symbols is constrained, all transmit PA coefficients are updated jointly according to the channel information at each iteration.Through PA, each detection symbol has the same post-detection signal to interference-and-noise ratio (SINR).The simulation results verify that the proposed PA algorithm converges at the equilibrium quickly after few iterations, and it achieves much lower bit error rates than the previous single symbol SIC PA and the fixed ratio PA algorithms for G-STBC systems with GSIC receivers.

  6. Service Support Aware Resource Allocation Policy for Enterprise Cloud-based Systems

    Rabi Prasad Padhy


    Full Text Available Cloud Services can save business time, resources, money and it’s the ultimate solution for solving challenges in the traditional software sales model. However, cloud computing must be advanced to focus on resource utilization and resource management. The use of cloud-based services allows consumers to allocate resources on-demand and to pay only for the resources they actually use. Considering a scenario in which cloud service providers stipulate on service support level i.e. Type of support (platinum, gold, silver and bronze with end-users and lease cloud services in a way that guarantees SLA fulfillment, minimize operational costs and maximize the profit. So in this case allocating resources dynamically in the form of virtual machines to end users directly depends on the parameter ‘type of support’ a cloud consumer subscribes. In this research paper we proposed resource allocation algorithms for cloud providers. Our proposed policy engine designed in such a way that it ensure user request type which takes into account that the provider has to fulfill the Service Support Level criteria while minimizing the resources outsourced from the cloud infrastructure using resource allocation algorithms.

  7. A cross-layer resource allocation scheme for spatial multiplexing-based MIMO-OFDMA systems

    Al-Shatri Hussein


    Full Text Available Abstract We investigate the resource allocation problem for the downlink of a multiple-input multiple-output orthogonal frequency division multiple access (MIMO-OFDMA system. The sum rate maximization itself cannot cope with fairness among users. Hence, we address this problem in the context of the utility-based resource allocation presented in earlier papers. This resource allocation method allows to enhance the efficiency and guarantee fairness among users by exploiting multiuser diversity, frequency diversity, as well as time diversity. In this paper, we treat the overall utility as the quality of service indicator and design utility functions with respect to the average transmission rate in order to simultaneously provide two services, real-time and best-effort. Since the optimal solutions are extremely computationally complex to obtain, we propose a suboptimal joint subchannel and power control algorithm that converges very fast and simplifies the MIMO resource allocation problem into a single-input single-output resource allocation problem. Simulation results indicate that using the proposed method achieves near-optimum solutions, and the available resources are distributed more fairly among users.

  8. Optimizing MPBSM Resource Allocation Based on Revenue Management: A China Mobile Sichuan Case

    Xu Chen


    Full Text Available The key to determining the network service level of telecom operators is resource allocation for mobile phone base station maintenance (MPBSM. Given intense market competition and higher consumer requirements for network service levels, an increasing proportion of resources have been allocated to MPBSM. Maintenance costs account for the rising fraction of direct costs, and the management of MPBSM resource allocation presents special challenges to telecom operators. China Mobile is the largest telecom operator in the world. Its subsidiary, China Mobile Sichuan, is the first in China to use revenue management in improving MPBSM resource allocation. On the basis of comprehensive revenue (including both economic revenue and social revenue, the subsidiary established a classification model of its base stations. The model scientifically classifies more than 25,000 base stations according to comprehensive revenue. China Mobile Sichuan also conducted differentiation allocation of MPBSM resources on the basis of the classification results. Furthermore, it optimized the assessment system of the telecom base stations to establish an assurance system for the use of MPBSM resources. After half-year implementation, the cell availability of both VIP base stations and total base stations significantly improved. The optimization also reduced economic losses to RMB 10.134 million, and enhanced customer satisfaction with network service by 3.2%.

  9. Adaptive radio resource allocation for multiple traffic OFDMA broadband wireless access system

    LU Yan-hui; LUO Tao; YIN Chang-chuan; YUE Guang-xin


    In this article, an adaptive radio resource allocation algorithm applied to multiple traffic orthogonal frequency division multiple access (OFDMA) system is proposed, which distributes subcarriers and bits among users according to their different quality of service requirements and traffic type. By classifying and prioritizing the users based on their traffic characteristic and ensuring resource for higher priority users, the new scheme decreases tremendously the outage probability of the users requiting a real-time transmission without impact on the spectrum efficiency of system, as well as the outage probability of data users is not increased compared with the radio resource allocation methods published.

  10. Media access control and resource allocation for next generation passive optical networks

    Ansari, Nirwan


    This book focuses on various Passive optical networks (PONs)  types, including currently deployed Ethernet PON (EPON) and Gigabit PON (GPON) as well as next generation WDM PON and OFDM PON. Also this book examines the integrated optical and wireless access networks. Concentrating on two issues in these networks: media access control (MAC) and resource allocation. These two problems can greatly affect performances of PONs such as network resource utilization and QoS of end users. Finally this book will discuss various solutions to address the MAC and resource allocation issues in various PON networks.

  11. Classroom Games: The Allocation of Renewable Resources under Different Property Rights and Regulation Schemes.

    Giraud, Kelly L.; Herrmann, Mark


    Describes a renewable resource allocation game designed to stimulate student interest in and understanding of market failure associated with open-access types of resource use. Employs the game to discuss advantages and disadvantages of property rights and regulation schemes. States the game benefits noneconomics majors in natural resource…

  12. Children's Recognition of Fairness and Others' Welfare in a Resource Allocation Task: Age Related Changes

    Rizzo, Michael T.; Elenbaas, Laura; Cooley, Shelby; Killen, Melanie


    The present study investigated age-related changes regarding children's (N = 136) conceptions of fairness and others' welfare in a merit-based resource allocation paradigm. To test whether children at 3- to 5-years-old and 6- to 8-years-old took others' welfare into account when dividing resources, in addition to merit and equality concerns,…

  13. What Do We Spend Tto Educate a Child? The Student Resource Allocation Model.

    Pruslow, John T.


    Describes the features of a new student resource-allocation model that analyzes resources for individual students, groups, or categories of students and allows the integration of cost analysis into school-district and building-level planning and evaluation. States that use of the model will assist school-district administrators in making more…

  14. Resource Allocation with the Use of the Balanced Scorecard and the Triple Bottom Line in Education

    Nguyen, Chi Hong


    In terms of the economic bottom line, effective school leaders are now supposed to pay close attention to two central tasks which involve managing resources and devising operational strategies in their action plans. Taking a postmodern viewpoint, the first part of this paper aims to discuss the significance of resource allocation in education and…

  15. Arithmetic and algebraic problem solving and resource allocation: the distinct impact of fluid and numerical intelligence.

    Dix, Annika; van der Meer, Elke


    This study investigates cognitive resource allocation dependent on fluid and numerical intelligence in arithmetic/algebraic tasks varying in difficulty. Sixty-six 11th grade students participated in a mathematical verification paradigm, while pupil dilation as a measure of resource allocation was collected. Students with high fluid intelligence solved the tasks faster and more accurately than those with average fluid intelligence, as did students with high compared to average numerical intelligence. However, fluid intelligence sped up response times only in students with average but not high numerical intelligence. Further, high fluid but not numerical intelligence led to greater task-related pupil dilation. We assume that fluid intelligence serves as a domain-general resource that helps to tackle problems for which domain-specific knowledge (numerical intelligence) is missing. The allocation of this resource can be measured by pupil dilation.

  16. Research on Evaluation of resource allocation efficiency of transportation system based on DEA

    Zhang, Zhehui; Du, Linan


    In this paper, we select the time series data onto 1985-2015 years, construct the land (shoreline) resources, capital and labor as inputs. The index system of the output is freight volume and passenger volume, we use Quantitative analysis based on DEA method evaluated the resource allocation efficiency of railway, highway, water transport and civil aviation in China. Research shows that the resource allocation efficiency of various modes of transport has obvious difference, and the impact on scale efficiency is more significant. The most important two ways to optimize the allocation of resources to improve the efficiency of the combination of various modes of transport is promoting the co-ordination of various modes of transport and constructing integrated transportation system.

  17. Using a Cast Iron Hand-Pump to Teach Students About Water Resources and Resource Allocation

    Mailloux, B. J.; Radloff, K. A.


    Simply turning on the tap brings safe, clean, fresh-tasting water to most Americans. Students never need to consider basic concepts about water supply, including their daily water consumption and the quality of the water required for drinking. In stark contrast, the issues of water quality and quantity play a central role in people’s daily lives in the developing world. It is difficult to convey this reality to our students through lectures alone and hands-on activities are required. In order to develop an active learning based approach, we transported a traditional cast iron hand-pump and aluminum urns from Bangladesh to the United States. The hand-pump is mounted on a cooler, which acts as a water reservoir, and is now functional and easily transportable. Using this powerful demonstration tool, we have developed an active learning module we call “How far will you walk for water?”. The goal of the module is to teach students about water quantity, water quality, and resource allocation with a focus on Arsenic and Bangladesh, but the system could be applied to other areas of concern. First the students are given a quick lecture on Arsenic, its health impacts, and the extent of contamination in Bangladesh. They are then assigned a specific well, complete with a map of their village and picture of their well and a water sample (pre-spiked with arsenic to be above or below the 10 ug/L WHO limit). Next they pump the wellhead, fill an urn, walk down the hall and back, and measure the distance walked. This is compared to the distance from their village home to their private well, to safe wells belonging to neighbors and to a community well. The students then use the Hach Arsenic test kit to test the arsenic levels in their water samples and learn if their well is safe to drink. Finally, given all this information students must determine if they should continue drinking from their well or switch to a new well, even if that means making multiple, long trips each day

  18. Nutrient Stress During Ontogeny Alters Patterns of Resource Allocation in two Species of Horned Beetles.

    Schwab, Daniel B; Moczek, Armin P


    The elaboration of exaggerated, sexually selected weapons and ornaments often comes at a cost to other traits. For instance, by sustaining the growth of an exaggerated weapon during development, shared and limited resources such as morphogens, growth factors, and nutrients may become depleted and limit the size to which other structures can grow. Such interactions are characteristic of resource allocation trade-offs, which can constrain the production of phenotypic variation and bias evolutionary trajectories. Across many species of Onthophagus beetles, males produce extravagant horns that are used as weapons in male-male competition over mates. Previous studies have reported resource allocation trade-offs between horns and both proximally and distally developing structures. However, more recent studies have largely failed to recover these patterns, leading to the hypothesis that trade-offs may manifest only in certain species, populations, or environmental conditions. Here, we investigate (i) patterns of resource allocation into horns, eyes, and genitalia in Onthophagus gazella and O. taurus, and assess (ii) how these patterns of resource allocation are influenced by nutrient stress during larval development. We find that nutrient stress alters patterns of resource allocation within and among traits, but recover a trade-off only in the species that invests most heavily into horn production (O. taurus), and in individuals of that species that invested a disproportionately large or small amount of resources into horn growth. These results suggest that resource allocation trade-offs may not be as prevalent as previously described, and that their presence and magnitude may instead be highly context dependent.

  19. An optimization algorithm for multipath parallel allocation for service resource in the simulation task workflow.

    Wang, Zhiteng; Zhang, Hongjun; Zhang, Rui; Li, Yong; Zhang, Xuliang


    Service oriented modeling and simulation are hot issues in the field of modeling and simulation, and there is need to call service resources when simulation task workflow is running. How to optimize the service resource allocation to ensure that the task is complete effectively is an important issue in this area. In military modeling and simulation field, it is important to improve the probability of success and timeliness in simulation task workflow. Therefore, this paper proposes an optimization algorithm for multipath service resource parallel allocation, in which multipath service resource parallel allocation model is built and multiple chains coding scheme quantum optimization algorithm is used for optimization and solution. The multiple chains coding scheme quantum optimization algorithm is to extend parallel search space to improve search efficiency. Through the simulation experiment, this paper investigates the effect for the probability of success in simulation task workflow from different optimization algorithm, service allocation strategy, and path number, and the simulation result shows that the optimization algorithm for multipath service resource parallel allocation is an effective method to improve the probability of success and timeliness in simulation task workflow.

  20. Proportional Fair Resource Allocation for Uplink OFDMA Network Using Priority-Ranked Bargaining Model

    Zeng, Lingkang; Hu, Yupei; Xie, Gang; Zhao, Yi; Shen, Junyang; Liu, Yuan'an; Gao, Jin-Chun

    In this paper, we focus on the adaptive resource allocation issue for uplink OFDMA systems. The resources are allocated according to a proportional fairness criterion, which can strike an alterable balance between fairness and efficiency. Optimization theory is used to analyze the multi-constraint resource allocation problem and some heuristic characteristics about the optimal solution are obtained. To deal with the cohesiveness of the necessary conditions, we resort to bargaining theory that has been deeply investigated in game theory. Firstly, we summarize some assumptions about bargaining theory and show their similarities with the resource allocation process. Then we propose a priority-ranked bargaining model, whose primary contribution is applying the economic thought to the resource allocation process. A priority-ranked bargaining algorithm (PRBA) is subsequently proposed to permit the base station to auction the subcarriers one by one according to the users' current priority. By adjusting the predefined rate ratio flexibly, PRBA can achieve different degrees of fairness among the users' capacity. Simulation results show that PRBA can achieve similar performance of the max-min scheme and the NBS scheme in the case of appropriate predefined rate ratio.

  1. An Optimization Algorithm for Multipath Parallel Allocation for Service Resource in the Simulation Task Workflow

    Zhiteng Wang


    Full Text Available Service oriented modeling and simulation are hot issues in the field of modeling and simulation, and there is need to call service resources when simulation task workflow is running. How to optimize the service resource allocation to ensure that the task is complete effectively is an important issue in this area. In military modeling and simulation field, it is important to improve the probability of success and timeliness in simulation task workflow. Therefore, this paper proposes an optimization algorithm for multipath service resource parallel allocation, in which multipath service resource parallel allocation model is built and multiple chains coding scheme quantum optimization algorithm is used for optimization and solution. The multiple chains coding scheme quantum optimization algorithm is to extend parallel search space to improve search efficiency. Through the simulation experiment, this paper investigates the effect for the probability of success in simulation task workflow from different optimization algorithm, service allocation strategy, and path number, and the simulation result shows that the optimization algorithm for multipath service resource parallel allocation is an effective method to improve the probability of success and timeliness in simulation task workflow.

  2. A Heuristic Algorithm for U.S. Naval Mission Resource Allocation


    NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS Approved for public release; distribution is unlimited A HEURISTIC ALGORITHM FOR...DATES COVERED Master’s Thesis 4. TITLE AND SUBTITLE A Heuristic Algorithm for U.S. Naval Mission Allocation 6. AUTHOR(S) Derek T. Dwyer 5...release; distribution is unlimited. A HEURISTIC ALGORITHM FOR U.S. NAVAL MISSION RESOURCE ALLOCATION Derek T. Dwyer Lieutenant Commander

  3. Medical resource preparation and allocation for humanitarian assistance based on module organization.

    Zhu, Min; Chen, Ruxue; Zhong, Shaobo; Qian, Yangming; Huang, Quanyi


    This research aims to associate the allocation of medical resources with the function of the modular organization and the possible needs for humanitarian assistance missions. The overseas humanitarian medical assistance mission, which was sent after a disaster on the hospital ship Peace Ark, part of China's People's Liberation Army (PLA) Navy, was considered as study model. The cases used for clustering and matching sample formation were randomly selected from the existing information related to Peace Ark's mission. Categories of the reusable resources clustered by this research met the requirement of the actual consumption almost completely (more than 95%) and the categories of non-reusable resources met the requirement by more than 80%. In the mission's original resource preparing plan, more than 30% of the non-reusable resource categories remained unused during the mission. In the original resource preparing plan, some key non-reusable resources inventories were completely exhausted at the end of the mission, while 5% to 30% of non-reusable resources remained in the resource allocation plan generated by this research at the end of the mission. The medical resource allocation plan generated here can enhance the supporting level for the humanitarian assistance mission. This research could lay the foundation for an assistant decision-making system for humanitarian assistance mission.

  4. Effect of total resource allocation effect and economic growth:Chinese experience of 1978-2004


    The analytical method of total resource reallocation effet is an evolution of the analytical method of the factors of economic growth.Since the marketization reform in China in 1978,market mechanism has played a more and moreimportant role in resource allocation,and Chinese economy has developed greatly,which is called"the Chinese Miracle".This paper arialVzes the economic growth in China from 1978 to 2004 with the analytical method of total resource reallocation effect.The result shows that the annual growth Fate of total resource reallocation effect was 0.2%,which was 5.1% of the comprehensive productivity and 0.21%of the grass output growth,i.e. the total resource allocation played a weak role in the economic growth in China.When analyzing it in Chenets's multinational model,we find that Chinese comprehensive productivity growth rate was bigher than that in all the income phases of the model,but the total resource allocation effect was obviously lower than that in all the income phases of the model.It indicates that the total resource allocation in China has a great potential,and that to accelerate marketization reform is one of the important issues for Chinese economic development.

  5. Mechanism Design for Base Station Association and Resource Allocation in Downlink OFDMA Network

    Hong, Mingyi


    We consider a resource management problem in a multi-cell downlink OFDMA network, whereby the goal is to find the optimal per base station resource allocation and user-base station assignment. The users are assumed to be strategic/selfish who have private information on downlink channel states and noise levels. To induce truthfulness among the users as well as to enhance the spectrum efficiency, the resource management strategy needs to be both incentive compatible and efficient. However, due to the mixed (discrete and continuous) nature of resource management in this context, the implementation of any incentive compatible mechanism that maximizes the system throughput is NP-hard. We consider the dominant strategy implementation of an approximately optimal resource management scheme via a computationally tractable mechanism. The proposed mechanism is decentralized and dynamic. More importantly, it ensures the truthfulness of the users and it implements a resource allocation solution that yields at least 1/2 o...

  6. Computing Resource And Work Allocations Using Social Profiles

    Peter Lavin


    Full Text Available If several distributed and disparate computer resources exist, many of whichhave been created for different and diverse reasons, and several large scale com-puting challenges also exist with similar diversity in their backgrounds, then oneproblem which arises in trying to assemble enough of these resources to addresssuch challenges is the need to align and accommodate the different motivationsand objectives which may lie behind the existence of both the resources andthe challenges. Software agents are offered as a mainstream technology formodelling the types of collaborations and relationships needed to do this. Asan initial step towards forming such relationships, agents need a mechanism toconsider social and economic backgrounds. This paper explores addressing so-cial and economic differences using a combination of textual descriptions knownas social profiles and search engine technology, both of which are integrated intoan agent technology.

  7. Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D

    Xiang Hongyu


    Full Text Available Presented as an innovative paradigm incorporating the cloud computing into radio access network, Cloud radio access networks (C-RANs have been shown advantageous in curtailing the capital and operating expenditures as well as providing better services to the customers. However, heavy burden on the non-ideal fronthaul limits performances of CRANs. Here we focus on the alleviation of burden on the fronthaul via the edge devices’ caches and propose a fog computing based RAN (F-RAN architecture with three candidate transmission modes: device to device, local distributed coordination, and global C-RAN. Followed by the proposed simple mode selection scheme, the average energy efficiency (EE of systems optimization problem considering congestion control is presented. Under the Lyapunov framework, the problem is reformulated as a joint mode selection and resource allocation problem, which can be solved by block coordinate descent method. The mathematical analysis and simulation results validate the benefits of F-RAN and an EE-delay tradeoff can be achieved by the proposed algorithm.

  8. Optimized Hybrid Resource Allocation in Wireless Cellular Networks with and without Channel Reassignment

    Xin Wu


    Full Text Available In cellular networks, it is important to determine an optimal channel assignment scheme so that the available channels, which are considered as “limited” resources in cellular networks, are used as efficiently as possible. The objective of the channel assignment scheme is to minimize the call-blocking and the call-dropping probabilities. In this paper, we present two efficient integer linear programming (ILP formulations, for optimally allocating a channel (from a pool of available channels to an incoming call such that both “hard” and “soft” constraints are satisfied. Our first formulation, ILP1, does not allow channel reassignment of the existing calls, while our second formulation, ILP2, allows such reassignment. Both formulations can handle hard constraints, which includes co-site and adjacent channel constraints, in addition to the standard co-channel constraints. The simplified problem (with only co-channel constraints can be treated as a special case of our formulation. In addition to the hard constraints, we also consider soft constraints, such as, the packing condition, resonance condition, and limiting rearrangements, to further improve the network performance. We present the simulation results on a benchmark 49 cell environment with 70 channels that validate the performance of our approach.


    Ivan Brkić


    Full Text Available The objective of this study was to determine the optimum allocation of the number of plants sampled per plot and number of locations and years required for screening maize genotypes for reduced root damage caused by western corn rootworm (WCR larvae, major pest of maize in Croatia, Europe and in the USA. Field trials were conducted on two locations Eastern Croatia, a major maize production area with natural WCR occurrence under continuous maize growing conditions. The trials were set as an incomplete lattice block design in two replications in 2007, 2008 and 2009 including 128 genotypes from various maize gene-pools. Our results suggest that the effect of year and respective interactions including year were the most important factors in maize breeding programs for native resistance to WCR. Thus, screening germplasm for WCR resistance should be made in a multi-year experiment, but not necessarily as a multi-location experiment. Resource optimization should be done by reducing number of roots per plot to minimum 4 sampled plants due to small within-plot environmental variance.

  10. Resource allocation for two source-destination pairs sharing a single relay with a buffer

    Zafar, Ammar


    In this paper, we obtain the optimal resource allocation scheme in order to maximize the achievable rate region in a dual-hop system that consists of two independent source-destination pairs sharing a single half-duplex relay. The relay decodes the received information and possesses buffers to enable storing the information temporarily before forwarding it to the respective destination. We consider both non-orthogonal transmission with successive interference cancellation at the receivers and orthogonal transmission. Also, we consider Gaussian block-fading channels and we assume that the channel state information is known and that no delay constraints are required. We show that, with the aid of buffering at the relay, joint user-and-hop scheduling is optimal and can enhance the achievable rate significantly. This is due to the joint exploitation of multiuser diversity and multihop diversity in the system. We provide closed-form expressions to characterize the average achievable rates in a generic form as functions of the statistical model of the channels. Furthermore, we consider sub-optimal schemes that exploit the diversity in the system partially and we provide numerical results to compare the different schemes and demonstrate the gains of the optimal one. © 2014 IEEE.

  11. An Analysis for the Comprehensive Evaluation of Health Resources Allocation in Shenzhen

    程锦泉; 彭绩; 卢祖洵


    INCREASING HEALTH COSTS are a dilemmafaced by the health administration. In order to en-hance the productivity, we must invest in healthservices. Meanwhile, limited health resources shouldbe properly allocated to obtain maximal socioeco-nomic benefits at lowest input. Thus, it is especiallyimportant to comprehensively assess the allocationof health resources from the perspectives of theInput and Output. The comprehensive evaluation ofhealth resources is a topic of interest for multi-objective assessment, wh...

  12. Run-time mapping: dynamic resource allocation in embedded systems

    Braak, ter Timon David


    Many desired features of computing platforms, such as increased fault tolerance, variable quality of service, and improved energy efficiency, can be achieved by postponing resource management decisions from design-time to run-time. While multiprocessing has been widespread in embedded systems for q

  13. Run-time mapping: dynamic resource allocation in embedded systems

    ter Braak, T.D.


    Many desired features of computing platforms, such as increased fault tolerance, variable quality of service, and improved energy efficiency, can be achieved by postponing resource management decisions from design-time to run-time. While multiprocessing has been widespread in embedded systems for

  14. Optimal Resource Allocation under Fair QoS in Multi-tier Server Systems

    Akai, Hirokazu; Ushio, Toshimitsu; Hayashi, Naoki

    Recent development of network technology realizes multi-tier server systems, where several tiers perform functionally different processing requested by clients. It is an important issue to allocate resources of the systems to clients dynamically based on their current requests. On the other hand, Q-RAM has been proposed for resource allocation in real-time systems. In the server systems, it is important that execution results of all applications requested by clients are the same QoS(quality of service) level. In this paper, we extend Q-RAM to multi-tier server systems and propose a method for optimal resource allocation with fairness of the QoS levels of clients’ requests. We also consider an assignment problem of physical machines to be sleep in each tier sothat the energy consumption is minimized.

  15. Efficient Radio Resource Allocation in a GSM and GPRS Cellular Network

    David Vannucci


    Full Text Available This paper investigates the effect of various radio resource allocation strategies in a GSM/GPRS cellular network. The most efficient resource allocation is analysed as a function of the proportion of circuit switched voice and packet switched data load. The Grade of Service and average packet delay is investigated as a function of the load, packet size and call duration. Additionally, the feasibility of using voice over Internet Protocol as opposed to circuit switched voice is investigated as a means to increase subscriber capacity per base station. The work is motivated firstly by the complexity of having both circuit switched and packet switched connectivity on GSM/GPRS mobile cellular system and secondly that an exclusively packet based access on GSM/GPRS has the potential to increase the efficiency of resource utilisation by suitably varying the channel allocation to exploit the characteristics of voice and data traffic.

  16. An ethics framework for assisting clinician-managers in resource allocation decision making.

    Meslin, E M; Lemieux-Charles, L; Wortley, J T


    In response to continued pressure on the Canadian healthcare system, hospitals are implementing structural changes to address issues of cost containment, utilization, and resource allocation. One strategy has been to decentralize managerial decision making to clinicians, creating "clinician-managers" (CMs). We surveyed 3,000 hospital-based CMs in Ontario, Canada (including physicians, nurses, and other health professionals), in order to understand the nature and frequency of the ethical issues they face as a consequence of their involvement in resource allocation decisions, and to identify mechanisms for dealing with these problems in their hospitals. Based on the survey results, we developed a Management Ethics Framework to assist CMs to reach an ethically justifiable resolution of these types of problems, both individually, and in the context of their membership in the healthcare team. The results, and particularly the discussion that follows, represent a confluence of philosophical, clinical, and organizational perspective on ethics and resource allocation by clinicians.

  17. Resource allocation in shared spectrum access communications for operators with diverse service requirements

    Kibria, Mirza Golam; Villardi, Gabriel Porto; Ishizu, Kentaro; Kojima, Fumihide; Yano, Hiroyuki


    In this paper, we study inter-operator spectrum sharing and intra-operator resource allocation in shared spectrum access communication systems and propose efficient dynamic solutions to address both inter-operator and intra-operator resource allocation optimization problems. For inter-operator spectrum sharing, we present two competent approaches, namely the subcarrier gain-based sharing and fragmentation-based sharing, which carry out fair and flexible allocation of the available shareable spectrum among the operators subject to certain well-defined sharing rules, traffic demands, and channel propagation characteristics. The subcarrier gain-based spectrum sharing scheme has been found to be more efficient in terms of achieved throughput. However, the fragmentation-based sharing is more attractive in terms of computational complexity. For intra-operator resource allocation, we consider resource allocation problem with users' dissimilar service requirements, where the operator supports users with delay constraint and non-delay constraint service requirements, simultaneously. This optimization problem is a mixed-integer non-linear programming problem and non-convex, which is computationally very expensive, and the complexity grows exponentially with the number of integer variables. We propose less-complex and efficient suboptimal solution based on formulating exact linearization, linear approximation, and convexification techniques for the non-linear and/or non-convex objective functions and constraints. Extensive simulation performance analysis has been carried out that validates the efficiency of the proposed solution.

  18. Potential game theory applications in radio resource allocation

    Lã, Quang Duy; Soong, Boon-Hee


    This book offers a thorough examination of potential game theory and its applications in radio resource management for wireless communications systems and networking. The book addresses two major research goals: how to identify a given game as a potential game, and how to design the utility functions and the potential functions with certain special properties in order to formulate a potential game. After proposing a unifying mathematical framework for the identification of potential games, the text surveys existing applications of this technique within wireless communications and networking problems found in OFDMA 3G/4G/WiFi networks, as well as next-generation systems such as cognitive radios and dynamic spectrum access networks. Professionals interested in understanding the theoretical aspect of this specialized field will find Potential Game Theory a valuable resource, as will advanced-level engineering students. It paves the way for extensive and rigorous research exploration on a topic whose capacity for...

  19. Human resource allocation management in multiple projects using sociometric techniques

    Ballesteros-Pérez, Pablo; González-Cruz, M. C.; Fernández-Diego, M.


    This article describes a new application of key psychological concepts in the area of Sociometry for the selection of workers within organizations in which projects are developed. The project manager can use a new procedure to determine which individuals should be chosen from a given pool of resources and how to combine them into one or several simultaneous groups/projects in order to assure the highest possible overall work efficiency from the standpoint of social interaction. The optimizati...

  20. Distributed Uplink Resource Allocation in Cognitive Radio Networks -- Part I: Equilibria and Algorithms for Power Allocation

    Hong, Mingyi; Wilson, Stephen


    Spectrum management has been identified as a crucial step towards enabling the technology of a cognitive radio network (CRN). Most of the current works dealing with spectrum management in the CRN focus on a single task of the problem, e.g., spectrum sensing, spectrum decision, spectrum sharing or spectrum mobility. In this two-part paper, we argue that for certain network configurations, jointly performing several tasks of the spectrum management improves the spectrum efficiency. Specifically, our aim is to study the uplink resource management problem in a CRN where there exist multiple cognitive users (CUs) and access points (APs). The CUs, in order to maximize their uplink transmission rates, have to associate to a suitable AP (spectrum decision), and to share the channels used by this AP with other CUs (spectrum sharing). These tasks are clearly interdependent, and the problem of how they should be carried out efficiently and in a distributed manner is still open in the literature.

  1. Nutrient mediation of behavioral plasticity and resource allocation in a xylem-feeding leafhopper.

    Brodbeck, Brent V; Andersen, Peter C; Mizell, Russell F


    Phenotypic plasticity may be critical for nutrient-limited organisms that allocate ingested nutrients to the competing demands of reproduction and survivorship. Leafhoppers that feed on xylem fluid allow assessment of plasticity in response to the constant selective pressure of nutritional inadequacy. We examined feeding behavior (host selection and consumption rates) and nutrient allocation (fecundity, change in body mass and composition) of the xylem fluid-feeding leafhopper Homalodisca vitripennis (Hemiptera:Cicadellidae) on ten genotypes of related Prunus germplasm when adults first seasonally appear, and later during population peaks, to examine the effects of genotypes and season on plasticity of life history and behavioral traits. Behavior and resource allocation to life history traits were both mediated by xylem nutrients, although nutrients impacting behavior differed from those mediating life history. Host selection and consumption varied with genotype between June and July, yet behavior consistently reflected concentrations of dietary glutamine. Resource allocations also increased linearly with nutrient concentrations, but were best correlated to ingested essential amino acids rather than glutamine. Body mass and composition were highly correlated to dietary essential amino acids in June; 6 weeks later, fecundity was instead proportional to essential amino acids. The discrepancy in nutrients which impact behavior versus those mediating life history may explain the weak preference-performance linkage documented for many insects. The demarcation in allocating resources to biomass in June to fecundity in July suggests increased allocation to reproduction during periods of nutrient stress as predicted by the theory of optimal resource allocation; other contributing biotic and abiotic factors are also discussed.

  2. Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm

    Zu Yun-Xiao; Zhou Jie


    Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm is proposed,and a fitness function is provided.Simulations are conducted using the adaptive niche immune genetic algorithm,the simulated annealing algorithm,the quantum genetic algorithm and the simple genetic algorithm,respectively.The results show that the adaptive niche immune genetic algorithm performs better than the other three algorithms in terms of the multi-user cognitive radio network resource allocation,and has quick convergence speed and strong global searching capability,which effectively reduces the system power consumption and bit error rate.

  3. Resource Allocation Optimization Model of Collaborative Logistics Network Based on Bilevel Programming

    Xiao-feng Xu


    Full Text Available Collaborative logistics network resource allocation can effectively meet the needs of customers. It can realize the overall benefit maximization of the logistics network and ensure that collaborative logistics network runs orderly at the time of creating value. Therefore, this article is based on the relationship of collaborative logistics network supplier, the transit warehouse, and sellers, and we consider the uncertainty of time to establish a bilevel programming model with random constraints and propose a genetic simulated annealing hybrid intelligent algorithm to solve it. Numerical example shows that the method has stronger robustness and convergence; it can achieve collaborative logistics network resource allocation rationalization and optimization.

  4. Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm

    Zu, Yun-Xiao; Zhou, Jie


    Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm is proposed, and a fitness function is provided. Simulations are conducted using the adaptive niche immune genetic algorithm, the simulated annealing algorithm, the quantum genetic algorithm and the simple genetic algorithm, respectively. The results show that the adaptive niche immune genetic algorithm performs better than the other three algorithms in terms of the multi-user cognitive radio network resource allocation, and has quick convergence speed and strong global searching capability, which effectively reduces the system power consumption and bit error rate.

  5. Fairness based resource allocation for multiuser MISO-OFDMA systems with beamforming

    SUN Kai; WANG Ying; CHEN Zi-xiong; ZHANG Ping


    Resource allocation problem in multiuser multiple input single output-orthogonal frequency division multiple access (MISO-OFDMA) systems with downlink beamforming for frequency selective fading channels is studied. The article aims at maximizing system throughput with the constraints of total power and bit error rate (BER) while supporting fairness among users. The downlink proportional fairness (PF) scheduling problem is reformulated as a maximization of the sum of logarithmic user data rate. From necessary conditions on optimality obtained analytically by Karush-Kuhn-Tucker (KKT) condition, an efficient user selection and resource allocation algorithm is proposed. The computer simulations reveal that the proposed algorithm achieves tradeoff between system throughput and fairness among users.

  6. Family Resource Allocation after Firstborns Leave Home: Implications for Secondborns' Academic Functioning.

    Jensen, Alexander C; Whiteman, Shawn D; Bernard, Julia M; McHale, Susan M


    This study assessed secondborn adolescents' perceptions of changes in the allocation of family resources following their firstborn siblings' departure from home after high school, and whether perceived changes were related to changes over 1 year in secondborns' academic functioning. Participants were secondborn siblings (mean age = 16.58, SD = 0.91) from 115 families in which the older sibling had left the family home in the previous year. Allocation of resources was measured via coded qualitative interviews. Most (77%) secondborns reported increases in at least one type of family resource (i.e., parental companionship, attention, material goods), and many reported an increase in multiple types of resources in the year following their older sibling's departure. Consistent with resource dilution theory, perceptions of increases in fathers' companionship, fathers' attention, and mothers' companionship were related to improvements over time in secondborns' academic functioning. © 2015 Family Process Institute.

  7. Action coordination and resource allocation against user profiles

    Valente, Pedro Ricardo da Nova

    Ageing is a natural evolution among all living things, part of the life cycle, well known by everyone. World-wide population is being older, as a result of all social-financial aspects, leaving modern societies with less active citizens and increasing older population, which demands more focus...... on context-aware information extraction, and the second system, evolving from the first, relating end-users social interaction with resource optimization (coordination). At last, various problems are discussed in the perspective of Resident and Care Staff, as being the principal service provider, inside...

  8. A Game Theoretic Sensor Resource Allocation Using Fuzzy Logic

    Stephen C. Stubberud


    Full Text Available A sensor resource management system that employs fuzzy logic to provide the utility functions to a game theoretic approach is developed. The application looks at a virtual fence problem where several unattended ground sensors are placed in remote locations to act as virtual sentries. The goal of the approach is to maximize the battery life while tracking targets of interest. This research also considers the incorporation of uncertainty into the fuzzy membership functions. Both type-2 fuzzy logic and the use of conditional fuzzy membership function are employed. The type-2 fuzzy logic is employed in the case of acoustical sensor tracking accuracy degradation, while the condition-based membership functions are used to adapt to different conditions, such as environmental conditions and sensor performance degradation, over time. The resource management process uses fuzzy logic to determine which of the sensor systems on a sensor pod is used to provide initial classification of the target and which sensor or sensors are to be used in tracking and better classifying the target if it is determined to be of value to the mission. The three different approaches are compared to determine when the best times for the more complex approaches are warranted.

  9. A Fault Tolerant Resource Allocation Architecture for Mobile Grid

    P. T. Vanathi


    Full Text Available Problem statement: In order to achieve high level of reliability and availability, the grid infrastructure should be fault tolerant. Since the failure of resources affects job execution fatally, fault tolerance service is essential to satisfy QoS requirement in grid computing with respect to mobile nodes. Approach: We propose a fault tolerant technique for improving reliability in mobile grid environment considering the node mobility. The Cluster head and monitoring agent was designed in such a way it addresses both resource and network failure and present recovery techniques for overcoming the faults. Results: The proposed model achieves a identifiable performance when compared to the previous model (HRAA. By simulation results, we analyze the node and link failures on parameters such as delivery ratio, throughput and delay against the rate of success. Conclusion: The proposed fault tolerant approach checks for availability of the nodes with least work load for transferring the executed job to cluster head providing an alternate path in case of failure thereby enhancing the reliability of the grid environment.

  10. Fair Resource Allocation to Health Research: Priority Topics for Bioethics Scholarship.

    Pratt, Bridget; Hyder, Adnan A


    This article draws attention to the limited amount of scholarship on what constitutes fairness and equity in resource allocation to health research by individual funders. It identifies three key decisions of ethical significance about resource allocation that research funders make regularly and calls for prioritizing scholarship on those topics - namely, how health resources should be fairly apportioned amongst public health and health care delivery versus health research, how health research resources should be fairly allocated between health problems experienced domestically versus other health problems typically experienced by disadvantaged populations outside the funder's country, and how domestic and non-domestic health research funding should be further apportioned to different areas, e.g. types of research and recipients. These three topics should be priorities for bioethics research because their outcomes have a substantial bearing on the achievement of health justice. The proposed agenda aims to move discussion on the ethics of health research funding beyond its current focus on the mismatch between worldwide basic and clinical research investment and the global burden of disease. Individual funders' decision-making on whether and to what extent to allocate resources to non-domestic health research, health systems research, research on the social determinants of health, capacity development, and recipients in certain countries should also be the focus of ethical scrutiny. © 2017 John Wiley & Sons Ltd.

  11. An Empirical Study of the Allocation Efficiency of Rural Financial Resources in Hubei Province from the Perspective of Agricultural Loans

    Xiaofang; ZOU; Xueqin; JIANG


    The incompatibility of China’s economy and finance has to some extent inhibited the development of rural economy. Taking Hubei Province for example,we measure the allocation efficiency of rural financial resources from the perspective of agricultural input and output,and use the modern rural financial development theory to set forth some policy recommendations on how to build a new rural financial resource allocation system. Studies have shown that the allocation efficiency of rural financial resources is low in China,and improving the allocation efficiency of rural financial resources is the key to perfecting rural financial environment while increasing financial support for agriculture.

  12. Towards Resource Allocation Algorithm in Opportunistic Relaying Cooperative UWB Communication System

    Tingting Yang


    Full Text Available A novel communication system named “OR cooperative UWB” is proposed by bringing OR (Opportunistic Relaying to UWB system. Particularly, the exact and closed-form symbol error rate (SER expression is derived firstly in this paper. In order to maximize the capacity considering fairness between users, a definition of equivalent mean channel gain is given, and a joint resource allocation algorithm is also proposed which includes three steps: sub-band allocation algorithm, relaying allocation algorithm and power allocation algorithm. Employing the conception of “relative requirement degree”, the algorithm shows a distributed solution targeting relay partner selecting and increasing capacity while satisfying the users’ QoS (Quality of Service requirement. Simulations results validate the performance of the proposed algorithm.

  13. An Enhanced OFDM Resource Allocation Algorithm in C-RAN Based 5G Public Safety Network

    Lei Feng


    Full Text Available Public Safety Network (PSN is the network for critical communication when disaster occurs. As a key technology in 5G, Cloud-Radio Access Network (C-RAN can play an important role in PSN instead of LTE-based RAN. This paper firstly introduces C-RAN based PSN architecture and models the OFDM resource allocation problem in C-RAN based PSN as an integer quadratic programming, which allows the trade-off between expected bitrates and allocating fairness of PSN Service User (PSU. However, C-RAN based PSN needs to improve the efficiency of allocating algorithm because of a mass of PSU-RRH associations when disaster occurs. To deal with it, the resources allocating problem with integer variables is relaxed into one with continuous variables in the first step and an algorithm based on Generalized Bender’s Decomposition (GBD is proposed to solve it. Then we use Feasible Pump (FP method to get a feasible integer solution on the original OFDM resources allocation problem. The final experiments show the total throughput achieved by C-RAN based PSN is at most higher by 19.17% than the LTE-based one. And the average computational time of the proposed GBD and FP algorithm is at most lower than Barrier by 51.5% and GBD with no relaxation by 30.1%, respectively.

  14. Existing Opportunities to Adapt the Rio Grande/Bravo Basin Water Resources Allocation Framework

    Luzma Fabiola Nava


    Full Text Available The study of the Rio Grande/Bravo (RGB Basin water allocation demonstrates how the United States (U.S. and Mexico have consolidated a transboundary framework based on water sharing. However, the water supply no longer meets the ever-increasing demand for water or the expectations of different stakeholders. This paper explores opportunities for an enhanced management regime that will address past problems and better examine how to balance demands for a precious resource and environmental needs. Based on an overview of the RGB Basin context and the water allocation framework, as well as a discussion on stakeholders’ ability to achieve solutions, this paper explores three key questions: (1 Does the current binational water allocation framework meet current and future human and environmental needs? (2 How can the U.S.-Mexico water allocation framework be adapted to balance social and environmental water demands so it can support and preserve the RGB Basin ecosystem? (3 What are the main opportunities to be explored for expanding the U.S.-Mexico water resources allocation framework? The U.S.-Mexico water resources framework is subject to broad interpretation and may be adapted to the circumstances taking the fullest advantage of its flexibility. Policy recommendations highlight the existing flexibility of the binational framework, the potential to move forward with an ad hoc institutional arrangement, and the creation of political will to achieve change through stakeholders recommendations.




    Full Text Available The appearance of infinite computing resources that available on demand and fast enough to adapt with load surges makes Cloud computing favourable service infrastructure in IT market. Core feature in Cloud service infrastructures is Service Level Agreement (SLA that led seamless service at high quality of service to client. One of the challenges in Cloud is providing heterogeneous computing services for the clients. With the increasing number of clients/tenants in the Cloud, unsatisfied agreement is becoming a critical factor. In this paper, we present an adaptive resource allocation policy which attempts to improve accountable in Cloud SLA while aiming for enhancing system performance. Specifically, our allocation incorporates dynamic matching SLA rules to deal with diverse processing requirements from tenants.Explicitly, it reduces processing overheadswhile achieving better service agreement. Simulation experiments proved the efficacy of our allocation policy in order to satisfy the tenants; and helps improve reliable computing

  16. Optimal conservation resource allocation under variable economic and ecological time discounting rates in boreal forest

    Mazziotta, Adriano; Montesino Pouzols, Federico; Mönkkönen, Mikko


    that in boreal forest set-aside followed by protection of clear-cuts can become a winning cost-effective strategy when accounting for habitat requirements of multiple species, long planning horizon, and limited budget. It is particularly effective when adopting a long-term sustainability perspective......, and accounting for present revenues from timber harvesting. The present analysis assesses the cost-effective conditions to allocate resources into an inexpensive conservation strategy that nevertheless has potential to produce high ecological values in the future.......Resource allocation to multiple alternative conservation actions is a complex task. A common trade-off occurs between protection of smaller, expensive, high-quality areas versus larger, cheaper, partially degraded areas. We investigate optimal allocation into three actions in boreal forest: current...

  17. Modelling of resource allocation to health care authorities in Stockholm county

    Andersson, Paula; Varde, E; Diderichsen, Finn


    before. We also show the effect of using more current data sources by replacing existing census variables with data from annually updated registers. Since the aim is to use the resource allocation models for prospective budgeting we test and evaluate the predictive power of the models one to two years......Since the Stockholm County Council introduced a system of purchasers and providers there has been a quest for population-based resource allocation models to allocate monies to purchasers of health care. In contrast to models used in Britain, Swedish models have been based on individual level data....... This paper presents recent developments in the model used in Stockholm for all care except primary care, testing new statistical methods for compression and clustering of the matrices used and the effect of introducing diagnostic information in addition to the demographic and socio-economic information used...

  18. Joint Uplink Resource Allocation Algorithm with Proportional-Fair in Heterogeneous Wireless Networks

    Juan Fan


    Full Text Available In this paper, we exploit the uplink radio resource allocation considering proportional fairness among users in heterogeneous wireless networks. Meanwhile, multi-mode user terminals are assumed to have the capability of using multiple radio access technologies simultaneously. To this end, a joint optimization problem is formulated for power and bandwidth allocation for uplink transmission. Since the formulated primal problem is difficult to solve directly, we make continuous relaxation and obtain a near-optimal solution using Karush-Kuhn-Tucker conditions, and then propose a joint resource allocation algorithm. Simulation results show the proposed algorithm work, and the algorithm provides superior system throughput and much better fairness among users comparing to a heuristic algorithm

  19. Exploiting Interference Alignment in Multi-Cell Cooperative OFDMA Resource Allocation

    Da, Bin


    This paper studies interference alignment (IA) based multi-cell cooperative resource allocation for the downlink OFDMA with universal frequency reuse. Unlike the traditional scheme that treats subcarriers as separate dimensions for resource allocation, the IA technique is utilized to enable frequency-domain precoding over parallel subcarriers. In this paper, the joint optimization of frequency-domain precoding via IA, subcarrier user selection and power allocation is investigated for a cooperative three-cell OFDMA system to maximize the downlink throughput. Numerical results for a simplified symmetric channel setup reveal that the IA-based scheme achieves notable throughput gains over the traditional scheme only when the inter-cell interference link has a comparable strength as the direct link, and the receiver SNR is sufficiently large. Motivated by this observation, a practical hybrid scheme is proposed for cellular systems with heterogenous channel conditions, where the total spectrum is divided into two s...

  20. Optimal Resource Allocation and Relay Selection in Bandwidth and Time Exchange Based Cooperative Forwarding

    Islam, Muhammad Nazmul; Kompella, Sastry


    In this paper, we investigate joint optimal relay selection and resource allocation that are fundamental to the understanding of bandwidth exchange (BE) and time exchange (TE) enabled incentivized cooperative forwarding in wireless networks. We consider a network where N nodes transmit data in the uplink to an access point (AP) or base station (BS). We first consider the scenario where each node gets an initial amount (equal, optimal or arbitrary) of resource in the form of bandwidth or time, and uses this resource as a flexible incentive for two hop relaying. We focus on ?-fair network utility maximization (NUM) and total power minimization in this environment. For both BE and TE, we show the concavity or convexity of the resource allocation problem for a fixed relay set. Defining the link weights of each relay pair as the utility gain due to cooperation (over noncooperation), we show that the optimal relay selection, often a combinatorially cumbersome problem, reduces to the maximum weighted matching (MWM) ...

  1. Efficient Resource Allocation and Sectorization for Fractional Frequency Reuse (FFR in LTE Femtocell Systems

    M. T. Kawser


    Full Text Available The Fractional Frequency Reuse (FFR is a resource allocation technique that can effectively mitigate inter-cell interference (ICI in LTE based HetNets and it is a promising solution. Various FFR schemes have been suggested to address the challenge of interference in femtocell systems. In this paper, we study the scopes of interference mitigation and capacity improvement. We propose a resource allocation scheme that gradually varies frequency resource share with distance from the eNodeB for both macrocells and femtocells in order to attain better utilization of the resources. This is performed effectively using three layers in the cell. The proposal also employs high number sectors in a cell, low interference and good frequency reuse. Monte-Carlo simulations are performed, which show that the proposed scheme achieves significantly better throughput compared to the existing FFR schemes.

  2. The ethics of allocation of scarce health care resources: a view from the centre.

    Calman, K C


    Resource allocation is a central part of the decision-making process in any health care system. Resources have always been finite, thus the ethical issues raised are not new. The debate is now more open, and there is greater public awareness of the issues. It is increasingly recognised that it is the technology which determines resources. The ethical issues involved are often conflicting and relate to issues of individual rights and community benefits. One central feature of resource allocation is the basing of decisions on the outcomes of health care and on their subsequent economic evaluation. The knowledge base is therefore of great importance as is the audit of results of clinical treatment. Public involvement is seen as an integral part of this process. For all parts of the process, better methodologies are required.

  3. Towards Self Configured Multi-Agent Resource Allocation Framework for Cloud Computing Environments



    Full Text Available The construction of virtualization and Cloud computing environment to assure numerous features such as improved flexibility, stabilized energy efficiency with minimal operating costs for IT industry. However, highly unpredictable workloads can create demands to promote quality-of-service assurance in the mean while promising competent resource utilization. To evade breach on SLA’s (Service-Level Agreements or may have unproductive resource utilization, In a virtual environment resource allocations must be tailored endlessly during the execution for the dynamic application workloads. In this proposed work, we described a hybrid approach on self-configured resource allocation model in cloud environments based on dynamic workloads application models. We narrated a comprehensive setup of a delegate stimulated enterprise application, the new Virtenterprise_Cloudapp benchmark, deployed on dynamic virtualized cloud platform.

  4. Integrated optimal allocation model for complex adaptive system of water resources management (II): Case study

    Zhou, Yanlai; Guo, Shenglian; Xu, Chong-Yu; Liu, Dedi; Chen, Lu; Wang, Dong


    Climate change, rapid economic development and increase of the human population are considered as the major triggers of increasing challenges for water resources management. This proposed integrated optimal allocation model (IOAM) for complex adaptive system of water resources management is applied in Dongjiang River basin located in the Guangdong Province of China. The IOAM is calibrated and validated under baseline period 2010 year and future period 2011-2030 year, respectively. The simulation results indicate that the proposed model can make a trade-off between demand and supply for sustainable development of society, economy, ecology and environment and achieve adaptive management of water resources allocation. The optimal scheme derived by multi-objective evaluation is recommended for decision-makers in order to maximize the comprehensive benefits of water resources management.

  5. Secure Allocation of Resources in Cloud Using Trust

    Usha Divakarla


    Full Text Available Cloud is the recent emerging technology in all aspects. The basic concern with the usage of this Cloud Technology is security. Security poses a major drawback with data storage, resource utilization, virtualization, etc. In the highly competitive environment the assurances are insufficient for the customers to identify the trust worthy cloud service providers. As a result all the entities in cloud and cloud computing environment should be trusted by each other and the entities that have communication should have valid trust on each other. Trust being the profound component in any network has attracted many researchers for research in various ways. The models developed so far are platform dependent and are not valid for heterogeneous platforms. An efficient model which can be ported on any platform is the current research trend in the research world. Our model is platform independent and also helps in calculating trust while migrating to another platform. The result shows that the proposed model is much more efficient in terms of computation time.

  6. The Accounting System and Resource Allocation Reform in a Public University

    Spathis, Charalambos; Ananiadis, John


    This paper studies the accounting system reform practised in Greek universities since January 2000, and more particularly at the Aristotle University of Thessaloniki (AUTH). It specifically examines the allocation of resources to faculties by university management based on certain criteria. The AUTH is the largest public university in Greece and…

  7. Efficient Control Channel Resource Allocation for VoIP in OFDMA-Based Packet Radio Networks

    Fan Yong


    Full Text Available We propose an efficient control channel resource allocation approach to enhance the performance of voice-over-IP (VoIP in orthogonal frequency division multiple access- (OFDMA- based next generation mobile communication systems. As the long-term evolution (LTE of universal terrestrial radio access network (UTRAN, evolved UTRAN (E-UTRAN is the first OFDMA-based packet radio network and thus selected in this paper as an application example. Our proposed physical downlink control channel (PDCCH resource allocation approach for E-UTRAN is composed of bidirectional power control, inner loop link adaptation (ILLA, and outer loop link adaptation (OLLA algorithms. Its effectiveness is validated through large-scale radio system level simulations, and simulation results confirm that VoIP capacity with dynamic scheduling can be further enhanced with this PDCCH resource allocation approach. Moreover, the VoIP performance requirements for international mobile telecommunications-advanced (IMT-Advanced radio interface technologies can be met with dynamic scheduling together with proposed PDCCH resource allocation. Besides E-UTRAN, this approach can be introduced to other OFDMA-based mobile communication systems for VoIP performance enhancement as well.

  8. Investigation of Education Databases in Four States To Support Policy Research on Resource Allocation. Policy Report

    Pan, Diane; Smith-Hansen, Lotte; Jones, Debra Hughes; Rudo, Zena H.; Alexander, Celeste; Kahlert, Rahel Kahlert, Rahel


    Information is one of the most important tools education decision makers need to help them effectively spend taxpayer money, allocate qualified staff, and determine the effectiveness of education investments. Decision makers must understand the role and influence of monetary and staff resources on the education system, and they must have…

  9. Allocation of Public Resources for Psychological Therapy between Types of Mental Health Condition: Towards Structural Balance

    Tustin, Don


    This paper addresses issues of allocating public resources efficiently between mental health conditions that are associated with different levels of disability, and presents an adaptation of an established framework to help decision-making in this area. The adapted framework refers to psychological interventions that are universal, indicated,…

  10. High-Quality Professional Development for All Teachers: Effectively Allocating Resources. Research & Policy Brief

    Archibald, Sarah; Coggshall, Jane G.; Croft, Andrew; Goe, Laura


    This Research & Policy Brief addresses the aspect of the teacher support system that is perhaps the most important and often the most weakly implemented: teacher learning and development. This brief includes the following to help state and district leaders select professional learning activities that are worth the allocation of scarce resources:…

  11. Cost-Effectiveness and Resource Allocation (CERA) - directions for the future.

    Baltussen, R.M.P.M.; Acharya, A.; Antioch, K.; Chisholm, D.; Grieve, R.; Kirigia, J.; Torres-Edejer, T.T.; Walker, D.; Evans, D.


    ABSTRACT: The journal Cost-Effectiveness and Resource Allocation (CERA) is now in its seventh year, and is an excellent example of how open access publishing can improve dissemination. Now the journal is through its infancy, it is time to reflect on its orientation and to define the strategy for the

  12. Assessing DRG cost accounting with respect to resource allocation and tariff calculation: the case of Germany.

    Vogl, Matthias


    The purpose of this paper is to analyze the German diagnosis related groups (G-DRG) cost accounting scheme by assessing its resource allocation at hospital level and its tariff calculation at national level. First, the paper reviews and assesses the three steps in the G-DRG resource allocation scheme at hospital level: (1) the groundwork; (2) cost-center accounting; and (3) patient-level costing. Second, the paper reviews and assesses the three steps in G-DRG national tariff calculation: (1) plausibility checks; (2) inlier calculation; and (3) the "one hospital" approach. The assessment is based on the two main goals of G-DRG introduction: improving transparency and efficiency. A further empirical assessment attests high costing quality. The G-DRG cost accounting scheme shows high system quality in resource allocation at hospital level, with limitations concerning a managerially relevant full cost approach and limitations in terms of advanced activity-based costing at patient-level. However, the scheme has serious flaws in national tariff calculation: inlier calculation is normative, and the "one hospital" model causes cost bias, adjustment and representativeness issues. The G-DRG system was designed for reimbursement calculation, but developed to a standard with strategic management implications, generalized by the idea of adapting a hospital's cost structures to DRG revenues. This combination causes problems in actual hospital financing, although resource allocation is advanced at hospital level.

  13. Efficient Methods for Multi-agent Multi-issue Negotiation: Allocating Resources

    Wu, M.; De Weerdt, M.M.; La Poutré, H.


    In this paper, we present an automated multi-agent multi-issue negotiation solution to solve a resource allocation problem. We use a multilateral negotiation model, by which three agents bid sequentially in consecutive rounds till some deadline. Two issues are bundled and negotiated concurrently, so


    B. A. Novakovskiy


    Full Text Available The paper presents developed methodology of solar and wind energy resources complex mapping at the regional level, taking into account the environmental and socio-economic factors affecting the placement of renewable energy facilities. Methodology provides a reasonable search and allocation of areas, the most promising for the placement of wind and solar power plants.

  15. A Multi-Objective Method to Align Human Resource Allocation with University Strategy

    Bouillard, Philippe


    Universities are currently under considerable pressure to reach their stakeholders' expectations. Management tools that use strategic plans, key performance indicators and quality assurance methods are increasingly deployed. This paper aims to demonstrate how resource allocation can be aligned with institutional strategic plans with a very simple…

  16. Optimization Analysis of Supply Chain Resource Allocation in Customized Online Shopping Service Mode

    Jianming Yao


    Full Text Available For an online-shopping company, whether it can provide its customers with customized service is the key to enhance its customers’ experience value and its own competence. A good customized service requires effective integration and reasonable allocation of the company’s supply chain resources running in the background. Based on the analysis of the allocation of supply chain resources in the customized online shopping service mode and its operational characteristics, this paper puts forward an optimization model for the resource allocation and builds an improved ant algorithm to solve it. Finally, the effectiveness and feasibility of the optimization method and algorithm are demonstrated by a numerical simulation. This paper finds that the special online shopping environments lead to many dynamic and uncertain characters of the service demands. Different customized service patterns and their combination patterns should match with different supply chain resource allocations. The optimization model not only reflects the required service cost and delivery time in the objective function, but also considers the service scale effect optimization and the relations of integration benefits and risks. The improved ant algorithm has obvious advantages in flexibly balancing the multiobjective optimizations, adjusting the convergence speed, and adjusting the operation parameters.

  17. A Multi-Objective Method to Align Human Resource Allocation with University Strategy

    Bouillard, Philippe


    Universities are currently under considerable pressure to reach their stakeholders' expectations. Management tools that use strategic plans, key performance indicators and quality assurance methods are increasingly deployed. This paper aims to demonstrate how resource allocation can be aligned with institutional strategic plans with a very simple…

  18. Coordination Incentives, Performance Measurement and Resource Allocation in Public Sector Organizations

    Dietrichson, Jens

    Why are coordination problems common when public sector organizations share responsibilities, and what can be done to mitigate such problems? This paper uses a multi-task principal-agent model to examine two related reasons: the incentives to coordinate resource allocation and the difficulties...

  19. Assessing DRG cost accounting with respect to resource allocation and tariff calculation: the case of Germany


    The purpose of this paper is to analyze the German diagnosis related groups (G-DRG) cost accounting scheme by assessing its resource allocation at hospital level and its tariff calculation at national level. First, the paper reviews and assesses the three steps in the G-DRG resource allocation scheme at hospital level: (1) the groundwork; (2) cost-center accounting; and (3) patient-level costing. Second, the paper reviews and assesses the three steps in G-DRG national tariff calculation: (1) plausibility checks; (2) inlier calculation; and (3) the “one hospital” approach. The assessment is based on the two main goals of G-DRG introduction: improving transparency and efficiency. A further empirical assessment attests high costing quality. The G-DRG cost accounting scheme shows high system quality in resource allocation at hospital level, with limitations concerning a managerially relevant full cost approach and limitations in terms of advanced activity-based costing at patient-level. However, the scheme has serious flaws in national tariff calculation: inlier calculation is normative, and the “one hospital” model causes cost bias, adjustment and representativeness issues. The G-DRG system was designed for reimbursement calculation, but developed to a standard with strategic management implications, generalized by the idea of adapting a hospital’s cost structures to DRG revenues. This combination causes problems in actual hospital financing, although resource allocation is advanced at hospital level. PMID:22935314

  20. Resource allocations, knowledge network characteristics and entrepreneurial orientation of multinational corporations

    C. Williams; S.H. Lee


    This paper analyses entrepreneurial orientation (EO) in multinational corporations (MNCs) and develops a new typology of MNC EO based on combining R&D and asset growth investment intensities as orthogonal resource allocations. A cluster analysis of US MNCs on these two dimensions reveals three types

  1. The Role of Trust in the Resource Allocation Process of an Old University

    Melina M. Manochin


    Full Text Available The issue of effective management accounting systems, and especially the resource allocation procedures, have attracted considerable interest among higher education institutions in recent years.Relevant previous research indicates that several universities adopt different approaches to the resource allocation problem, employing models and procedures that reflect their organisational arrangements and their internal socio – political dynamics. We argue that while studying accounting processes in their organisational context, the role of trust should also be considered carefully. In particular, it is very important to consider the attitudes of the individuals involved and interacting within organisational processes, and especially the trust between them, which plays an important role to the overall good governance of these processes.In our study, the role of interpersonal trust in an old Scottish University resource allocation process is examined. The study indicates that trust is a very necessary insight to the facilitation of social structures of accountability that enhance a better governance of the resource allocation process.

  2. Resource Allocation in Successful Schools: Case Studies of California Elementary Schools

    Hyder, Syed N.


    This study was conducted to examine instructional strategies and resource allocation in successful schools. The study was based on analysis of six effective Southern California elementary schools. All the analyzed schools were Title I, non-charter public schools that had demonstrated consistent student achievement, had narrowed the achievement gap…

  3. Resource Allocation in a Generalized Framework for Virtualized Heterogeneous Wireless Network

    Bo Fan


    Full Text Available As a prevailing concept in 5G, virtualization provides efficient coordination among multiple radio access technologies (RATs and enables multiple service providers (SPs to share different RATs’ infrastructure. This paper proposes a generic framework for virtualizing heterogeneous wireless network with different RATs. A novel “VMAC” (virtualized medium access control concept is introduced to converge different RAT protocols and perform inter-RAT resource allocation. To suit the proposed framework, a virtualization based resource allocation scheme is devised. We formulate the problem as a mixed combinatorial optimization, which jointly considers network access and rate allocation. First, to solve the network access problem, “adaptability ratio” is developed to model the fact that different RATs possess different adaptability to different services. And a Grey Relational Analysis (GRA method is adopted to calculate the adaptability ratio. Second, services are modeled as players, bargaining for RAT resources in a Nash bargaining game. And a closed-form Nash bargaining solution (NBS is derived. Combining adaptability ratio with NBS, a novel resource allocation algorithm is devised. Through simulation, the superiority and feasibility of the proposed algorithm are validated.

  4. Joint Resource Allocation and Admission Control Mechanism for an OFDMA-Based System

    Meucci, Filippo; Mihovska, Albena D.; Anggorojati, Bayu;


    This paper describes a Call Admission Control (CAC) mechanism that adapts the type of admitted users based on a proposed resource allocation strategy that responds to changes in the channel conditions. The admission control decides to admit new services according to the load of the cell and based...

  5. Resource Allocation Games: A Priming Game for a Series of Instructional Games (The POE Game).

    Allen, Layman E.

    This paper describes in detail the paper-and-pencil POE (Pelham Odd 'R Even) game, in which units of space are the allocated resources. The game is designed to provide an introduction to the rule structure common to the games of EQUATIONS, WFF 'N PROOF, and ON-SENTS & NON-SENTS. Techniques of playing POE, including goals, solutions, moves, scoring…

  6. An Optimization Algorithm for Multipath Parallel Allocation for Service Resource in the Simulation Task Workflow

    Zhiteng Wang; Hongjun Zhang; Rui Zhang; Yong Li; Xuliang Zhang


    Service oriented modeling and simulation are hot issues in the field of modeling and simulation, and there is need to call service resources when simulation task workflow is running. How to optimize the service resource allocation to ensure that the task is complete effectively is an important issue in this area. In military modeling and simulation field, it is important to improve the probability of success and timeliness in simulation task workflow. Therefore, this paper proposes an optimiz...

  7. Controlling collective dynamics in complex minority-game resource-allocation systems.

    Zhang, Ji-Qiang; Huang, Zi-Gang; Dong, Jia-Qi; Huang, Liang; Lai, Ying-Cheng


    Resource allocation takes place in various kinds of real-world complex systems, such as traffic systems, social services institutions or organizations, or even ecosystems. The fundamental principle underlying complex resource-allocation dynamics is Boolean interactions associated with minority games, as resources are generally limited and agents tend to choose the least used resource based on available information. A common but harmful dynamical behavior in resource-allocation systems is herding, where there are time intervals during which a large majority of the agents compete for a few resources, leaving many other resources unused. Accompanying the herd behavior is thus strong fluctuations with time in the number of resources being used. In this paper, we articulate and establish that an intuitive control strategy, namely pinning control, is effective at harnessing the herding dynamics. In particular, by fixing the choices of resources for a few agents while leaving the majority of the agents free, herding can be eliminated completely. Our investigation is systematic in that we consider random and targeted pinning and a variety of network topologies, and we carry out a comprehensive analysis in the framework of mean-field theory to understand the working of control. The basic philosophy is then that, when a few agents waive their freedom to choose resources by receiving sufficient incentives, the majority of the agents benefit in that they will make fair, efficient, and effective use of the available resources. Our work represents a basic and general framework to address the fundamental issue of fluctuations in complex dynamical systems with significant applications to social, economical, and political systems.

  8. Combined Resource Allocation System for Device-to-Device Communication towards LTE Networks

    Abbas Fakhar


    Full Text Available The LTE networks are being developed to grant mobile broadband services in the fourth generation (4G systems and allow operators to use spectrum more efficiently.D2D communication is a promising technique to provide wireless services and enhance spectrum exploitation in the LTE Heterogeneous Networks (HetNets.D2D communication in HetNets allows users to communicate with each other directly by reusing the resources when communicating via the base stations. But during the downlink period, both the D2D receiver and the Heterogeneous Users equipment’s (HUE experience interference caused by resource allocation. In this article, we identify and analyze the interference problem of HetNets caused by D2D transmitter during download. We propose a combined resource allocation and resource reuse method for LTE HetNets, where resource allocation to HUEs is employed on the basis of comparative fair algorithm and resource reuse to D2D users is employed on acquisitive empirical algorithm. This approach evaluates whether D2D mode is suitable or not by path loss evaluation, after that decreases the interference to HUE by selection of the minimum channel gain between HUE and D2D transmitter each time to mitigate interference. Our simulation results show that the efficiency and throughput of HetNets is improved by using the proposed method.

  9. Green Resource Allocation for Multiple OFDMA Based Networks:A Survey

    A. S. Khan; J. Abdullah; H. Lenando; J. M. Nazim


    Abstract-Orthogonal frequency division multiple access (OFDMA) is a popular and widely accepted multiple access technique to provide high data rate services in a mobile environment in the area of wireless communications. OFDMA can provide better flexibility in allocating the radio spectra by utilizing subcarrier allocations, scheduling, and energy control to obtain multi-dimension diversity gains. Due to its resource allocation flexibility, OFDMA has been widely used as a green air interface technology for the emerging broadband wireless access networks. This paper extensively addresses the integration of green OFDMA to the future air interface technologies, for instance: two-tier cellular, multi radio access technologies (RATs), FemtoCell, and relay networks. The main focus of the paper is to review and analyze the current OFDMA techniques to address the green resource allocation in multiuser diversity, where the critical constraints are the computational complexity, energy efficiency, and the sub-channel assignment. The future trend of OFDMA based networks will aim to maximize the energy efficiency of the exclusive channel assignment through a joint sub-channel and power allocation to accommodate high data traffic networks specially the relay based 5G cellular networks.

  10. Estimation of distribution algorithm for resource allocation in green cooperative cognitive radio sensor networks.

    Naeem, Muhammad; Pareek, Udit; Lee, Daniel C; Anpalagan, Alagan


    Due to the rapid increase in the usage and demand of wireless sensor networks (WSN), the limited frequency spectrum available for WSN applications will be extremely crowded in the near future. More sensor devices also mean more recharging/replacement of batteries, which will cause significant impact on the global carbon footprint. In this paper, we propose a relay-assisted cognitive radio sensor network (CRSN) that allocates communication resources in an environmentally friendly manner. We use shared band amplify and forward relaying for cooperative communication in the proposed CRSN. We present a multi-objective optimization architecture for resource allocation in a green cooperative cognitive radio sensor network (GC-CRSN). The proposed multi-objective framework jointly performs relay assignment and power allocation in GC-CRSN, while optimizing two conflicting objectives. The first objective is to maximize the total throughput, and the second objective is to minimize the total transmission power of CRSN. The proposed relay assignment and power allocation problem is a non-convex mixed-integer non-linear optimization problem (NC-MINLP), which is generally non-deterministic polynomial-time (NP)-hard. We introduce a hybrid heuristic algorithm for this problem. The hybrid heuristic includes an estimation-of-distribution algorithm (EDA) for performing power allocation and iterative greedy schemes for constraint satisfaction and relay assignment. We analyze the throughput and power consumption tradeoff in GC-CRSN. A detailed analysis of the performance of the proposed algorithm is presented with the simulation results.

  11. Resource Allocation for Downlink Multi-Cell OFDMA Cognitive Radio Network Using Hungarian Method

    N. Forouzan


    Full Text Available This paper considers the problem of resource allocation for downlink part of an OFDM-based multi-cell cognitive radio network which consists of multiple secondary transmitters and receivers communicating simultaneously in the presence of multiple primary users. We present a new framework to maximize the total data throughput of secondary users by means of subchannel assignment, while ensuring interference leakage to PUs is below a threshold. In this framework, we first formulate the resource allocation problem as a nonlinear and non-convex optimization problem. Then we represent the problem as a maximum weighted matching in a bipartite graph and propose an iterative algorithm based on Hungarian method to solve it. The present contribution develops an efficient subchannel allocation algorithm that assigns subchannels to the secondary users without the perfect knowledge of fading channel gain between cognitive radio transmitter and primary receivers. The performance of the proposed subcarrier allocation algorithm is compared with a blind subchannel allocation as well as another scheme with the perfect knowledge of channel-state information. Simulation results reveal that a significant performance advantage can still be realized, even if the optimization at the secondary network is based on imperfect network information.

  12. Release of resource constraints allows greater carbon allocation to secondary metabolites and storage in winter wheat.

    Huang, Jianbei; Hammerbacher, Almuth; Forkelová, Lenka; Hartmann, Henrik


    The atmospheric CO2 concentration ([CO2 ]) is rapidly increasing, and this may have substantial impact on how plants allocate metabolic resources. A thorough understanding of allocation priorities can be achieved by modifying [CO2 ] over a large gradient, including low [CO2 ], thereby altering plant carbon (C) availability. Such information is of critical importance for understanding plant responses to global environmental change. We quantified the percentage of daytime whole-plant net assimilation (A) allocated to night-time respiration (R), structural growth (SG), nonstructural carbohydrates (NSC) and secondary metabolites (SMs) during 8 weeks of vegetative growth in winter wheat (Triticum aestivum) growing at low, ambient and elevated [CO2 ] (170, 390 and 680 ppm). R/A remained relatively constant over a large gradient of [CO2 ]. However, with increasing C availability, the fraction of assimilation allocated to biomass (SG + NSC + SMs), in particular NSC and SMs, increased. At low [CO2 ], biomass and NSC increased in leaves but decreased in stems and roots, which may help plants achieve a functional equilibrium, that is, overcome the most severe resource limitation. These results reveal that increasing C availability from rising [CO2 ] releases allocation constraints, thereby allowing greater investment into long-term survival in the form of NSC and SMs.

  13. Impact of water allocation strategies to manage groundwater resources in Western Australia: Equity and efficiency considerations

    Iftekhar, Md Sayed; Fogarty, James


    In many parts of the world groundwater is being depleting at an alarming rate. Where groundwater extraction is licenced, regulators often respond to resource depletion by reducing all individual licences by a fixed proportion. This approach can be effective in achieving a reduction in the volume of water extracted, but the approach is not efficient. In water resource management the issue of the equity-efficiency trade-off has been explored in a number of contexts, but not in the context of allocation from a groundwater system. To contribute to this knowledge gap we conduct an empirical case study for Western Australia's most important groundwater system: the Gnangara Groundwater System (GGS). Resource depletion is a serious issue for the GGS, and substantial reductions in groundwater extraction are required to stabilise the system. Using an individual-based farm optimization model we study both the overall impact and the distributional impact of a fixed percentage water allocation cut to horticulture sector licence holders. The model is parameterised using water licence specific data on farm area and water allocation. The modelling shows that much of the impact of water allocation reductions can be mitigated through changing the cropping mix and the irrigation technology used. The modelling also shows that the scope for gains through the aggregation of holdings into larger farms is much greater than the potential losses due to water allocation reductions. The impact of water allocation cuts is also shown to impact large farms more than small farms. For example, the expected loss in net revenue per ha for a 10-ha farm is around three times the expected loss per ha for a 1-ha farm; and the expected loss per ha for a 25-ha farm is around five times the expected loss per ha for a 1-ha farm.

  14. A Two-Phase Model of Resource Allocation in Visual Working Memory.

    Ye, Chaoxiong; Hu, Zhonghua; Li, Hong; Ristaniemi, Tapani; Liu, Qiang; Liu, Taosheng


    Two broad theories of visual working memory (VWM) storage have emerged from current research, a discrete slot-based theory and a continuous resource theory. However, neither the discrete slot-based theory or continuous resource theory clearly stipulates how the mental commodity for VWM (discrete slot or continuous resource) is allocated. Allocation may be based on the number of items via stimulus-driven factors, or it may be based on task demands via voluntary control. Previous studies have obtained conflicting results regarding the automaticity versus controllability of such allocation. In the current study, we propose a two-phase allocation model, in which the mental commodity could be allocated only by stimulus-driven factors in the early consolidation phase. However, when there is sufficient time to complete the early phase, allocation can enter the late consolidation phase, where it can be flexibly and voluntarily controlled according to task demands. In an orientation recall task, we instructed participants to store either fewer items at high-precision or more items at low-precision. In 3 experiments, we systematically manipulated memory set size and exposure duration. We did not find an effect of task demands when the set size was high and exposure duration was short. However, when we either decreased the set size or increased the exposure duration, we found a trade-off between the number and precision of VWM representations. These results can be explained by a two-phase model, which can also account for previous conflicting findings in the literature. (PsycINFO Database Record

  15. Biomass Allocation of Stoloniferous and Rhizomatous Plant in Response to Resource Availability: A Phylogenetic Meta-Analysis.

    Xie, Xiu-Fang; Hu, Yu-Kun; Pan, Xu; Liu, Feng-Hong; Song, Yao-Bin; Dong, Ming


    Resource allocation to different functions is central in life-history theory. Plasticity of functional traits allows clonal plants to regulate their resource allocation to meet changing environments. In this study, biomass allocation traits of clonal plants were categorized into absolute biomass for vegetative growth vs. for reproduction, and their relative ratios based on a data set including 115 species and derived from 139 published literatures. We examined general pattern of biomass allocation of clonal plants in response to availabilities of resource (e.g., light, nutrients, and water) using phylogenetic meta-analysis. We also tested whether the pattern differed among clonal organ types (stolon vs. rhizome). Overall, we found that stoloniferous plants were more sensitive to light intensity than rhizomatous plants, preferentially allocating biomass to vegetative growth, aboveground part and clonal reproduction under shaded conditions. Under nutrient- and water-poor condition, rhizomatous plants were constrained more by ontogeny than by resource availability, preferentially allocating biomass to belowground part. Biomass allocation between belowground and aboveground part of clonal plants generally supported the optimal allocation theory. No general pattern of trade-off was found between growth and reproduction, and neither between sexual and clonal reproduction. Using phylogenetic meta-analysis can avoid possible confounding effects of phylogeny on the results. Our results shown the optimal allocation theory explained a general trend, which the clonal plants are able to plastically regulate their biomass allocation, to cope with changing resource availability, at least in stoloniferous and rhizomatous plants.

  16. Biomass Allocation of Stoloniferous and Rhizomatous Plant in Response to Resource Availability: A Phylogenetic Meta-Analysis

    Xiu-Fang eXie


    Full Text Available Resource allocation to different functions is central in life-history theory. Plasticity of functional traits allows clonal plants to regulate their resource allocation to meet changing environments. In this study, biomass allocation traits of clonal plants were categorized into absolute biomass for vegetative growth versus for reproduction, and their relative ratios based on a data set including 115 species and derived from 139 published literatures. We examined general pattern of biomass allocation of clonal plants in response to availabilities of resource (e.g. light, nutrients and water using phylogenetic meta-analysis. We also tested whether the pattern differed among clonal organ types (stolon vs. rhizome. Overall, we found that stoloniferous plants were more sensitive to light intensity than rhizomatous plants, preferentially allocating biomass to vegetative growth, aboveground part and clonal reproduction under shaded conditions. Under nutrient- and water-poor condition, rhizomatous plants were constrained more by ontogeny than by resource availability, preferentially allocating biomass to belowground part. Biomass allocation between belowground and aboveground part of clonal plants generally supported the optimal allocation theory. No general pattern of trade-off was found between growth and reproduction, and neither between sexual and clonal reproduction. Using phylogenetic meta-analysis can avoid possible confounding effects of phylogeny on the results. Our results shown the optimal allocation theory explained a general trend, which the clonal plants are able to plastically regulate their biomass allocation, to cope with changing resource availability, at least in stoloniferous and rhizomatous plants.

  17. Personnel Resource Allocation Strategies in a Time of Fiscal Crisis: Case Study of Elementary Schools in a California District

    Sais, Melissa Marie


    The purpose of this study was to analyze human resource allocation data for all elementary schools in large urban school district to determine whether resources were allocated in ways in that research suggests can lead to improved student achievement. Data from all 46 elementary schools that participated in the study were compared to the…

  18. Adaptive dynamic resource allocation in annual eusocial insects: environmental variation will not necessarily promote graded control

    Strohm Erhard


    Full Text Available Abstract Background According to the classical model of Macevicz and Oster, annual eusocial insects should show a clear dichotomous "bang-bang" strategy of resource allocation; colony fitness is maximised when a period of pure colony growth (exclusive production of workers is followed by a single reproductive period characterised by the exclusive production of sexuals. However, in several species graded investment strategies with a simultaneous production of workers and sexuals have been observed. Such deviations from the "bang-bang" strategy are usually interpreted as an adaptive (bet-hedging response to environmental fluctuations such as variation in season length or food availability. To generate predictions about the optimal investment pattern of insect colonies in fluctuating environments, we slightly modified Macevicz and Oster's classical model of annual colony dynamics and used a dynamic programming approach nested into a recurrence procedure for the solution of the stochastic optimal control problem. Results 1 The optimal switching time between pure colony growth and the exclusive production of sexuals decreases with increasing environmental variance. 2 Yet, for reasonable levels of environmental fluctuations no deviation from the typical bang-bang strategy is predicted. 3 Model calculations for the halictid bee Lasioglossum malachurum reveal that bet-hedging is not likely to be the reason for the graded allocation into sexuals versus workers observed in this species. 4 When environmental variance reaches a critical level our model predicts an abrupt change from dichotomous behaviour to graded allocation strategies, but the transition between colony growth and production of sexuals is not necessarily monotonic. Both, the critical level of environmental variance as well as the characteristic pattern of resource allocation strongly depend on the type of function used to describe environmental fluctuations. Conclusion Up to now bet

  19. On the Optimal Allocation of R&D Resources for Climate Change Technology Development

    Blanford, G J; Clarke, L E


    While technology studies and integrated assessment models incorporating endogenous technological change have demonstrated that advancing technology is a crucial component of an optimal greenhouse gas abatement strategy, the R&D process itself has received little analytical attention. This paper presents a conceptual framework for considering and exploring the optimal allocation of R&D resources for climate change technology development. The framework is then applied to a stylized application that considers the allocation between R&D focused on resolving uncertainties about the retention of sequestration and R&D focused on improving the performance of renewable energy technologies.

  20. Cost Allocation of Multiagency Water Resource Projects: Game Theoretic Approaches and Case Study

    Lejano, Raul P.; Davos, Climis A.


    Water resource projects are often jointly carried out by a number of communities and agencies. Participation in a joint project depends on how costs are allocated among the participants and how cost shares compare with the cost of independent projects. Cooperative N-person game theory offers approaches which yield cost allocations that satisfy rationality conditions favoring participation. A new solution concept, the normalized nucleolus, is discussed and applied to a water reuse project in southern California. Results obtained with the normalized nucleolus are compared with those derived with more traditional solution concepts, namely, the nucleolus and the Shapley value.

  1. Relay selection and resource allocation for two-way DF-AF cognitive radio networks

    Alsharoa, Ahmad M.


    In this letter, the problem of relay selection and optimal resource allocation for two-way relaying cognitive radio networks using half duplex amplify-and-forward and decode-and-forward protocols is investigated. The primary and secondary users are assumed to access the spectrum simultaneously, in a way that the interference introduced to the primary users should be below a certain tolerated limit. Dual decomposition and subgradient methods are used to find the optimal power allocation. A suboptimal approach based on a genetic algorithm is also presented. Simulation results show that the proposed suboptimal algorithm offers a performance close to the optimal performance with a considerable complexity saving. © 2013 IEEE.

  2. Resource allocation algorithm for multi-user MIMO-OFDM downlink with correlated channels

    Chengwen ZHANG; Zhongzhao ZHANG; Weixiao MENG


    To minimize transmitting power,an adaptive resource allocation algorithm is proposed for multi-user multiple input multiple output-orthogonal frequency divi sion multiplexing(MIMO-OFDM)downlink with correlated channels,which,based on the user's grouping according to their spatial correlations,combines the shared manner and the exclusive manner to allocate sub-carriers.Between different groups the shared manner with a null steering method based on group marginal users is applied,whereas within a group the exclusive manner is applied.The simulations show that the power efficiency and spectral efficiency are improved;the base station transmitting antenna number and the computational complexity is decreased.

  3. Priority-based Resource Allocation for RT and NRT Traffics in OFDMA Systems

    Wang, Hua


    In this paper, we address the problem of adaptive radio resource allocation and QoS provisioning for real-time (RT) and non-real-time (NRT) services in OFDMA systems. The proposed algorithm tightly couples the subchannel allocation and packet scheduling together through an integrated cross......-layer approach in which each packet is assigned a priority value by taking both the instantaneous channel condition and the QoS requirements into account. An efficient suboptimal algorithm with low computational complexity is proposed to solve the linear optimization problem. Simulation results show...




    Full Text Available The radio resource allocation in wireless communication is analysed in this paper. Pair of users communicates each other through multiple two way relays in orthogonal frequency division multiplexing transmission systems. The total throughput is maximized by relay selection, channel and relay assignment, subcarrier pairing and subcarrier allocation by prim’s algorithm. The graphical theory approach has used to solve the problem optimally in polynomial time. The evaluation of the network total throughput with respect to transmit power node and the number of relay nodes are analysed through simulation. In this work, the improvement in sum rate with optimum carrier assignment using proposed algorithm is demonstrated against the classical work.

  5. On the statistics of uplink inter-cell interference with greedy resource allocation

    Tabassum, Hina


    In this paper, we introduce a new methodology to model the uplink inter-cell interference (ICI) in wireless cellular networks. The model takes into account both the effect of channel statistics (i.e., path loss, shadowing, fading) and the resource allocation scheme in the interfering cells. Firstly, we derive a semi-analytical expression for the distribution of the locations of the allocated user in a given cell considering greedy resource allocation with maximum signal-to-noise ratio (SNR) criterion. Based on this, we derive the distribution of the uplink ICI from one neighboring cell. Next, we compute the moment generating function (MGF) of the cumulative ICI observed from all neighboring cells and discuss some examples. Finally, we utilize the derived expressions to evaluate the outage probability in the network. In order to validate the accuracy of the developed semi-analytical expressions, we present comparison results with Monte Carlo simulations. The major benefit of the proposed mechanism is that it helps in estimating the distribution of ICI without the knowledge of instantaneous resource allocations in the neighbor cells. The proposed methodology applies to any shadowing and fading distributions. Moreover, it can be used to evaluate important network performance metrics numerically without the need for time-consuming Monte Carlo simulations. © 2011 IEEE.

  6. Performance Ratio Based Resource Allocation Decision-Making in Genomic Medicine.

    Fragoulakis, Vasilios; Mitropoulou, Christina; Katelidou, Daphne; van Schaik, Ron H; Maniadakis, Nikolaos; Patrinos, George P


    In modern healthcare systems, the available resources may influence the morbidity, mortality, and-consequently-the level of healthcare provided in every country. This is of particular interest in developing countries where the resources are limited and must be spent wisely to address social justice and the right for equal access in healthcare services by all the citizens in economically viable terms. In this light, the current allocation is, in practice, inefficient and rests mostly on each country's individual political and historical context and, thus, does not always incorporate decision-making enabled by economic models. In this study, we present a new economic model, specifically for resource allocation for genomic medicine, based on performance ratio, with potential applications in diverse healthcare sectors, which are particularly appealing for developing countries and low-resource environments. The model proposes a new method for resource allocation taking into account (1) the size of innovation of a new technology, (2) the relative effectiveness in comparison with social preferences, and (3) the cost of the technology, which permits the measurement of effectiveness to be determined differently in the context of a specific disease and then to be expressed in a relative form using a common performance ratio. The present work expands on previous work for innovation in economic models pertaining to genomic medicine and supports translational science.

  7. Dynamic Resource Allocation Using Virtual Machines and Parallel Data Processing in the Cloud

    Y.Bharath Bhushan


    Full Text Available The main enabling technology for cloud computing is virtualization which generalize the physical infrastructure and makes it easy to use and manage. Virtualization is used to allocate resources based on their needs and also supports green computing concept. Parallel data processing has emerged to be one of the killer applications for Infrastructure-as-a-Service (IaaS clouds. The processing frameworks which are currently used have been designed for static, homogeneous cluster setups and disregard the particular nature of a cloud. The allocated compute resources may be inadequate for big parts of the submitted job and unnecessarily increase processing time and cost. In this paper we are applying the concept of “SKEWNESS” to measure the unevenness in the multi-dimensional resource utilization of a server. By minimizing skewness, we can combine different types of workloads and improve the overall utilization of server resources and discuss the opportunities and challenges for efficient parallel data processing in clouds using “NEPHELE’S ARCHITECTURE”.  Nephel’s architecture offers efficient parallel data processing in clouds. It is the first data processing framework for the dynamic resource allocation offered by today’s IaaS clouds for both, task scheduling and execution

  8. Market Model for Resource Allocation in Emerging Sensor Networks with Reinforcement Learning.

    Zhang, Yue; Song, Bin; Zhang, Ying; Du, Xiaojiang; Guizani, Mohsen


    Emerging sensor networks (ESNs) are an inevitable trend with the development of the Internet of Things (IoT), and intend to connect almost every intelligent device. Therefore, it is critical to study resource allocation in such an environment, due to the concern of efficiency, especially when resources are limited. By viewing ESNs as multi-agent environments, we model them with an agent-based modelling (ABM) method and deal with resource allocation problems with market models, after describing users' patterns. Reinforcement learning methods are introduced to estimate users' patterns and verify the outcomes in our market models. Experimental results show the efficiency of our methods, which are also capable of guiding topology management.

  9. Market Model for Resource Allocation in Emerging Sensor Networks with Reinforcement Learning

    Zhang, Yue; Song, Bin; Zhang, Ying; Du, Xiaojiang; Guizani, Mohsen


    Emerging sensor networks (ESNs) are an inevitable trend with the development of the Internet of Things (IoT), and intend to connect almost every intelligent device. Therefore, it is critical to study resource allocation in such an environment, due to the concern of efficiency, especially when resources are limited. By viewing ESNs as multi-agent environments, we model them with an agent-based modelling (ABM) method and deal with resource allocation problems with market models, after describing users’ patterns. Reinforcement learning methods are introduced to estimate users’ patterns and verify the outcomes in our market models. Experimental results show the efficiency of our methods, which are also capable of guiding topology management. PMID:27916841

  10. A New Resource Allocation Model for Grid Networks based on Bargaining in a Competitive Market

    Somayyeh Haghtalabi


    Full Text Available Resource allocation is an important subject in Grid computing environment. Many types of non-similar resources exist in the grid computing environment which can also be considered from economics' point of view. Moreover, suppliers and customers are independent subjects with two very different environments in the grid computing environment. Therefore negotiations are considered very important. Bargaining is one of the most functional methods of negotiation in economic grid. In this paper a new resource allocation algorithm based on bargaining in a competitive market is proposed. The presented paper tries to increase the number and speed of successful negotiation by considering the meaning of competition in the market and deadline in the bargaining model. The proposed model is suitable for real-time software implementation to illustrate the concept of buying from seller's competitive market. The Simulation results on prototype data show the effectiveness of the proposed method.

  11. National assessment of geologic carbon dioxide storage resources: allocations of assessed areas to Federal lands

    Buursink, Marc L.; Cahan, Steven M.; Warwick, Peter D.


    Following the geologic basin-scale assessment of technically accessible carbon dioxide storage resources in onshore areas and State waters of the United States, the U.S. Geological Survey estimated that an area of about 130 million acres (or about 200,000 square miles) of Federal lands overlies these storage resources. Consequently, about 18 percent of the assessed area associated with storage resources is allocated to Federal land management. Assessed areas are allocated to four other general land-ownership categories as follows: State lands about 4.5 percent, Tribal lands about 2.4 percent, private and other lands about 72 percent, and offshore areas about 2.6 percent.

  12. The use of resource allocation approach for hospitals based on the initial efficiency by using data envelopment analysis

    Nahid Yazdian Hossein Abadi


    Full Text Available Introduction: Recourse allocation is very important in today’s highly competitive environment to enhance the quality and reduce costs due to limited resources and unlimited needs of the society. The aim of this study was to implement resource allocation in order to improve the efficiency of hospital. Method: This is a mixed method study. The data used in this paper are secondary data related to the 30 large acute and general hospitals in the US. Bed, service mix, full-time equivalent (FTE, and operational expenses are input indicators in hospital, and adjusted admissions and outpatient visits are output indicators. Using goal programming (GP model and data envelopment analysis (DEA model with a common weights, we suggest three scenarios for resource allocation and budget allocation. “Resource allocation based on efficiency”, “budget allocation based on efficiency” and “two stage allocation of budget”. The first scenario was used for allocating the resources and the second and third ones for allocating budget to decision making units (DMUs. The data were analyzed by LINGO software. Results: Before the allocation, four hospitals were efficient and the efficiency of six hospitals was less than 50%, but after allocation, in the first case of the first scenario 14 hospitals, 11 hospitals in the second case of the first scenario, 24 hospitals in the second scenario and 17 hospitals in the third scenario were efficient, and it is an important point that after the allocation, efficiency of all hospitals increased. Conclusion: This study can be useful for hospital administrators; it can help them to allocate their resource and budget and increase the efficiency of their hospitals.

  13. Equity in health care in Namibia: developing a needs-based resource allocation formula using principal components analysis

    Mutirua Kauto


    Full Text Available Abstract Background The pace of redressing inequities in the distribution of scarce health care resources in Namibia has been slow. This is due primarily to adherence to the historical incrementalist type of budgeting that has been used to allocate resources. Those regions with high levels of deprivation and relatively greater need for health care resources have been getting less than their fair share. To rectify this situation, which was inherited from the apartheid system, there is a need to develop a needs-based resource allocation mechanism. Methods Principal components analysis was employed to compute asset indices from asset based and health-related variables, using data from the Namibia demographic and health survey of 2000. The asset indices then formed the basis of proposals for regional weights for establishing a needs-based resource allocation formula. Results Comparing the current allocations of public sector health car resources with estimates using a needs based formula showed that regions with higher levels of need currently receive fewer resources than do regions with lower need. Conclusion To address the prevailing inequities in resource allocation, the Ministry of Health and Social Services should abandon the historical incrementalist method of budgeting/resource allocation and adopt a more appropriate allocation mechanism that incorporates measures of need for health care.

  14. Cerebral hemovelocity reveals differential resource allocation strategies for extraverts and introverts during vigilance.

    Shaw, Tyler H; Nguyen, Cynthia; Satterfield, Kelly; Ramirez, Raul; McKnight, Patrick E


    Extraversion--one of the Big 5 personality factors--correlates negatively with vigilance, but most studies focus on performance outcomes and not the performance process. Previous research has shown that transcranial Doppler sonography (TCD), which measures cerebral blood flow velocity (CBFV), can be used to examine resource allocation strategies during vigilance performance. Hence, this study was designed to assess the attentional resource allocation strategies of introverts and extraverts using the CBFV measure. Twelve extroverts and 13 introverts monitored a 60-min vigilance task for a critical signal--the absence of a line on a five-circle array. The results revealed an overall performance decrement that was not modulated by extraversion. We observed an interaction between extraversion and time; CBFV declined in the introversion group, but not in the extraversion group. Additionally, an interaction between cerebral hemisphere and personality revealed that extraverts were recruiting resources from both the left and right cerebral hemispheres, while introverts only recruited resources from the right hemisphere. The results suggest that extraverts can allocate compensatory effort to mask performance differences. We discuss the theoretical and practical implications of these findings and offer future research directions that may help us understand these effects.

  15. Fairness resource allocation and scheduling for IEEE 802.16 Mesh networks

    Limin Peng


    Full Text Available The IEEE 802.16 standard provides a scheme for creating multi-hop relay networks, which can be deployed as a high speed wide area wireless network at low cost. Although the standard defines signaling mechanisms in mesh mode, however, it doesn’t specify wireless resource management in the protocol. In this paper, we address the problem of resource allocation with the goal of providing fairness access to wireless channel for all the nodes as well as high network throughput in IEEE 802.16 mesh networks. We first define node’s unsatisfactory index and throughput function. Then, a multi-objective programming formulation is proposed for optimizing network performance. Accordingly, a dynamic programming based resource allocation and scheduling algorithm is presented to provide an optimal resource allocation to achieve fairness among different nodes as well as high network throughput in IEEE 802.16 mesh networks. Simulation results show that our proposed algorithm significantly provides both fairness of channel access and optimal network throughput.

  16. A cross-layer design approach on spectrum allocation and resource scheduling in cognitive PMP networks

    Jie CHEN; Min-jian ZHAO; Qiao ZHOU; Shi-ju LI


    We propose the spectrum allocation and resource scheduling algorithms in cognitive point to multipoint (PMP)networks with rapid changes of spectrum opportunities and present a media access control (MAC) protocol based on these algorithms. The objective of spectrum allocation is to make efficient use of the spectrum while maintaining the transceiver synchronization on frequency and time in the network. The objective of resource scheduling is to guarantee the quality of service (QoS)requirements of different kinds of connections and to minimize the total energy consumption in the network as well. By sensing only a small set of possible channels in each slot based on the state transition probability of each channel, our spectrum allocation algorithm achieves high spectrum efficiency in the network. The resource scheduling problem is divided into three sub problems and we derive optimal solutions to these problems by greedy algorithm and convex optimization. The simulation results show that our algorithm can make efficient use of the spectrum and the network resources at a cost of low computational complexity.

  17. Processing speed training increases the efficiency of attentional resource allocation in young adults.

    Burge, Wesley K; Ross, Lesley A; Amthor, Franklin R; Mitchell, William G; Zotov, Alexander; Visscher, Kristina M


    Cognitive training has been shown to improve performance on a range of tasks. However, the mechanisms underlying these improvements are still unclear. Given the wide range of transfer effects, it is likely that these effects are due to a factor common to a wide range of tasks. One such factor is a participant's efficiency in allocating limited cognitive resources. The impact of a cognitive training program, Processing Speed Training (PST), on the allocation of resources to a set of visual tasks was measured using pupillometry in 10 young adults as compared to a control group of a 10 young adults (n = 20). PST is a well-studied computerized training program that involves identifying simultaneously presented central and peripheral stimuli. As training progresses, the task becomes increasingly more difficult, by including peripheral distracting stimuli and decreasing the duration of stimulus presentation. Analysis of baseline data confirmed that pupil diameter reflected cognitive effort. After training, participants randomized to PST used fewer attentional resources to perform complex visual tasks as compared to the control group. These pupil diameter data indicated that PST appears to increase the efficiency of attentional resource allocation. Increases in cognitive efficiency have been hypothesized to underlie improvements following experience with action video games, and improved cognitive efficiency has been hypothesized to underlie the benefits of PST in older adults. These data reveal that these training schemes may share a common underlying mechanism of increasing cognitive efficiency in younger adults.

  18. Processing speed training increases the efficiency of attentional resource allocation in young adults

    Wesley K Burge


    Full Text Available Cognitive training has been shown to improve performance on a range of tasks. However, the mechanisms underlying these improvements are still unclear. Given the wide range of transfer effects, it is likely that these effects are due to a factor common to a wide range of tasks. One such factor is a participant’s efficiency in allocating limited cognitive resources. The impact of a cognitive training program, Processing Speed Training (PST, on the allocation of resources to a set of visual tasks was measured using pupillometry in 10 young adults as compared to a control group of a 10 young adults (n = 20. PST is a well-studied computerized training program that involves identifying simultaneously presented central and peripheral stimuli. As training progresses, the task becomes increasingly more difficult, by including peripheral distracting stimuli and decreasing the duration of stimulus presentation. Analysis of baseline data confirmed that pupil diameter reflected cognitive effort. After training, participants randomized to PST used fewer attentional resources to perform complex visual tasks as compared to the control group. These pupil diameter data indicated that PST appears to increase the efficiency of attentional resource allocation. Increases in cognitive efficiency have been hypothesized to underlie improvements following experience with action video games, and improved cognitive efficiency has been hypothesized to underlie the benefits of processing speed training in older adults. These data reveal that these training schemes may share a common underlying mechanism of increasing cognitive efficiency in younger adults.

  19. Sex allocation in California oaks: trade-offs or resource tracking?

    Johannes M H Knops

    Full Text Available Trade-offs in sex resource allocation are commonly inferred from a negative correlation between male and female reproduction. We found that for three California oak species, aboveground annual net productivity (ANP differences among individuals were primarily correlated with water availability and soil fertility. Reproductive biomass increased with ANP, but the relative allocation to reproduction was constant, indicating that reproduction tracked productivity, which in turn tracked site quality. Although there was a negative correlation between male and female reproduction, this was not the result of a resource investment trade-off, but rather a byproduct of the positive correlation between female reproductive biomass and ANP combined with the greater overall resource allocation to female, compared to male, function. Thus, we reject the hypothesis of a trade-off between these key life-history components within individuals of these species. For long-lived individuals, a plastic resource tracking response to environmental fluctuations may be more adaptive than directly linking life-history traits through trade-offs.

  20. Cellular trade-offs and optimal resource allocation during cyanobacterial diurnal growth.

    Reimers, Alexandra-M; Knoop, Henning; Bockmayr, Alexander; Steuer, Ralf


    Cyanobacteria are an integral part of Earth's biogeochemical cycles and a promising resource for the synthesis of renewable bioproducts from atmospheric CO2 Growth and metabolism of cyanobacteria are inherently tied to the diurnal rhythm of light availability. As yet, however, insight into the stoichiometric and energetic constraints of cyanobacterial diurnal growth is limited. Here, we develop a computational framework to investigate the optimal allocation of cellular resources during diurnal phototrophic growth using a genome-scale metabolic reconstruction of the cyanobacterium Synechococcus elongatus PCC 7942. We formulate phototrophic growth as an autocatalytic process and solve the resulting time-dependent resource allocation problem using constraint-based analysis. Based on a narrow and well-defined set of parameters, our approach results in an ab initio prediction of growth properties over a full diurnal cycle. The computational model allows us to study the optimality of metabolite partitioning during diurnal growth. The cyclic pattern of glycogen accumulation, an emergent property of the model, has timing characteristics that are in qualitative agreement with experimental findings. The approach presented here provides insight into the time-dependent resource allocation problem of phototrophic diurnal growth and may serve as a general framework to assess the optimality of metabolic strategies that evolved in phototrophic organisms under diurnal conditions.

  1. Sub-channel shared resource allocation for multi-user distributed MIMO-OFDM systems

    Na-e ZHENG; You ZHOU; Han-ying HU; Sheng WANG


    Well-controlled resource allocation is crucial for promoting the performance of multiple input multiple output or-thogonal frequency division multiplexing (MIMO-OFDM) systems. Recent studies have focused primarily on traditional cen-tralized systems or distributed antenna systems (DASs), and usually assumed that one sub-carrier or sub-channel is exclusively occupied by one user. To promote system performance, we propose a sub-channel shared resource allocation algorithm for multi- user distributed MIMO-OFDM systems. Each sub-channel can be shared by multiple users in the algorithm, which is different from previous algorithms. The algorithm assumes that each user communicates with only two best ports in the system. On each sub-carrier, it allocates a sub-channel in descending order, which means one sub-channel that can minimize signal to leakage plus noise ratio (SLNR) loss is deleted until the number of remaining sub-channels is equal to that of receiving antennas. If there are still sub-channels after all users are processed, these sub-channels will be allocated to users who can maximize the SLNR gain. Simulations show that compared to other algorithms, our proposed algorithm has better capacity performance and enables the system to provide service to more users under the same capacity constraints.

  2. LinBox founding scope allocation, parallel building blocks, and separate compilation

    Dumas, Jean-Guillaume; Pernet, Clément; Saunders, B David


    To maximize efficiency in time and space, allocations and deallocations, in the exact linear algebra library \\linbox, must always occur in the founding scope. This provides a simple lightweight allocation model. We present this model and its usage for the rebinding of matrices between different coefficient domains. We also present automatic tools to speed-up the compilation of template libraries and a software abstraction layer for the introduction of transparent parallelism at the algorithmic level.

  3. Cross-layer resource allocation for QoS guarantee with finite queue constraint in multirate OFDMA wireless networks

    XU Hai-bo; TIAN Hui; FENG Yuan


    Efficient radio resource allocation is essential to provide quality of service (QoS) for wireless networks. In this article, a cross-layer resource allocation scheme is presented with the objective of maximizing system throughput, while providing guaranteed QoS for users. With the assumption of a finite queue for arrival packets, the proposed scheme dynamically allocates radio resources based on user's channel characteristic and QoS metrics derived from a queuing model, which considers a packet arrival process modeled by discrete Markov modulated Poisson process (dMMPP), and a multirate transmission scheme achieved through adaptive modulation. The cross-layer resource allocation scheme operates over two steps. Specifically, the amount of bandwidth allocated to each user is first derived from a queuing analytical model, and then the algorithm finds the best subcarrier assignment for users. Simulation results show that the proposed scheme maximizes the system throughput while guaranteeing QoS for users.

  4. Cooperative Precoding/Resource Allocation Games under Spectral Mask and Total Power Constraints

    Gao, Jie; Jiang, Hai


    The use of orthogonal signaling schemes such as time-, frequency-, or code-division multiplexing (T-, F-, CDM) in multi-user systems allows for power-efficient simple receivers. It is shown in this paper that by using orthogonal signaling on frequency selective fading channels, the cooperative Nash bargaining (NB)-based precoding games for multi-user systems, which aim at maximizing the information rates of all users, are simplified to the corresponding cooperative resource allocation games. The latter provides additional practically desired simplifications to transmitter design and significantly reduces the overhead during user cooperation. The complexity of the corresponding precoding/resource allocation games, however, depends on the constraints imposed on the users. If only spectral mask constraints are present, the corresponding cooperative NB problem can be formulated as a convex optimization problem and solved efficiently in a distributed manner using dual decomposition based algorithm. However, the NB...

  5. Nearly Optimal Resource Allocation for Downlink OFDMA in 2-D Cellular Networks

    Ksairi, Nassar; Ciblat, Philippe


    In this paper, we propose a resource allocation algorithm for the downlink of sectorized two-dimensional (2-D) OFDMA cellular networks assuming statistical Channel State Information (CSI) and fractional frequency reuse. The proposed algorithm can be implemented in a distributed fashion without the need to any central controlling units. Its performance is analyzed assuming fast fading Rayleigh channels and Gaussian distributed multicell interference. We show that the transmit power of this simple algorithm tends, as the number of users grows to infinity, to the same limit as the minimal power required to satisfy all users' rate requirements i.e., the proposed resource allocation algorithm is asymptotically optimal. As a byproduct of this asymptotic analysis, we characterize a relevant value of the reuse factor that only depends on an average state of the network.


    Srinivas Karedla


    Full Text Available Resource allocation strategies in Mobile Communication Systems (4G/5G are proposed to enhance the data transmission and to meet the required QoS of the users by reducing the interference (inter/intra cell. The aim of this paper is to propose an efficient QoS-Constrained resource allocation strategy called QoS-Constrained Modified Load Matrix (QoS-MLM for Multi -Carrier Mobile Communication systems under 4G LTE scenario to reduce interference and to improve aggregate throughput, packet delay. Simulation results show that by using QoS-MLM the aggregate throughput and packet delay has improved significantly when compared to benchmark schedulers.

  7. Adaptive call admission control and resource allocation in multi server wireless/cellular network

    Jain, Madhu; Mittal, Ragini


    The ever increasing demand of the subscribers has put pressure on the capacity of wireless networks around the world. To utilize the scare resources, in the present paper we propose an optimal allocation scheme for an integrated wireless/cellular model with handoff priority and handoff guarantee services. The suggested algorithm optimally allocates the resources in each cell and dynamically adjust threshold to control the admission. To give the priority to handoff calls over the new calls, the provision of guard channels and subrating scheme is taken into consideration. The handoff voice call may balk and renege from the system while waiting in the buffer. An iterative algorithm is implemented to generate the arrival rate of the handoff calls in each cell. Various performance indices are established in term of steady state probabilities. The sensitivity analysis has also been carried out to examine the tractability of algorithms and to explore the effects of system descriptors on the performance indices.

  8. Allocating the Fixed Resources and Setting Targets in Integer Data Envelopment Analysis

    Kobra Gholami


    Full Text Available Data envelopment analysis (DEA is a non-parametric approach to evaluate a set of decision making units (DMUs consuming multiple inputs to produce multiple outputs. Formally, DEA use to estimate the efficiency score into the empirical efficient frontier. Also, DEA can be used to allocate resources and set targets for future forecast. The data are continuous in the standard DEA model whereas there are many problems in the real life that data must be integer such as number of employee, machinery, expert and so on. Thus in this paper we propose an approach to allocate fixed resources and set fixed targets with selective integer assumption that is based on an integer data envelopment analysis (IDEA approach for the first time. The major aim in this approach is preserving the efficiency score of DMUs. We use the concept of benchmarking to reach this aim. The numerical example gets to illustrate the applicability of the proposed method.

  9. Discrete rate resource allocation for OFDMA cognitive radio systems with location information

    Ben Ghorbel, Mahdi


    In this paper we introduce a resource allocation algorithm based on location information for cognitive radio systems. The location information allows a practical implementation of cognitive radio systems when the channel state knowledge of the interference links with the primary users is not available. Using this information and measurements, the secondary users estimate the pathloss between the secondary and primary users to avoid interfering the primary users while sharing the frequency bands. The major improvement in this paper is low-complex algorithms for downlink and uplink resource allocations with integer bit distributions, where collocated subchannel constraint is considered in uplink case. We show, through numerical simulations, that for the downlink case, the proposed algorithm is indeed optimal while for the uplink case, it is near-optimal. ©2010 IEEE.

  10. Node ordinal encoded genetic algorithm for the optimal allocation of water resources

    YANG Xiaohua; YANG Zhifeng; SHEN Zhenyao; LI Jianqiang


    A new method, node ordinal encoded genetic algorithm (NOEGA), is proposed for solving water resources optimal allocation problems, in which the capacity of water resources is split into a number of smaller parts so that successive operations can be overlapped. Our objective is to maximize the whole benefit function. To overcome the "dimensionality and algorithm complexity curse" while searching for solutions and looking for an optimal solution, the operations of one-point crossover operator, gene exchange operator, gene random operator, gene shift operator and node ordinal strings are established. It is proved to be an effective optimal method in searching for global solutions. The NOEGA does not need a diversity of initial population, and it does not have the problem of immature convergence. The results of two cases show that using NOEGA to solve the optimal allocation model is very efficient and robust. In addition, the algorithm complexity of NOEGA is discussed.

  11. Resource allocation in health care and the role of personal autonomy.

    Gandjour, A


    Resource allocation decisions in health care require the consideration of ethical values. Major ethical theories include Amartya Sen's capability approach, Norman Daniels's theory of justice for health, and preference utilitarian theory. This paper argues that while only preference utilitarian theory explicitly considers the impact of an individual's actions on others, all 3 theories agree in terms of providing individual autonomy. Furthermore, it shows that all 3 theories emphasise the role of informed preferences in securing individual autonomy. Still, stressing personal autonomy has limited direct implications for priority setting. 2 priority rules for resource allocation could be identified: 1) to give priority to patients with mental disability (over those with pure physical disability); and 2) to give priority to patients with a large expected loss of autonomy without treatment.

  12. Modified Random Forest Approach for Resource Allocation in 5G Network

    Parnika De


    Full Text Available According to annual visual network index (VNI report by the year 2020, 4G will reach its maturity and incremental approach will not meet demand. Only way is to switch to newer generation of mobile technology called as 5G. Resource allocation is critical problem that impact 5G Network operation critically. Timely and accurate assessment of underutilized bandwidth to primary user is necessary in order to utilize it efficiently for increasing network efficiency. This paper presents a decision making system at Fusion center using modified Random Forest. Modified Random Forest is first trained using Database accumulated by measuring different network parameters and can take decision on allocation of resources. The Random Forest is retrained after fixed time interval, considering dynamic nature of network. We also test its performance in comparison with existing AND/OR logic decision logic at Fusion Center

  13. A Study of Trade-off between Opportunistic Resource Allocation and Interference Alignment in Femtocell Scenarios

    Lertwiram, Namzilp; Sakaguchi, Kei


    One of the main problems in wireless heterogeneous networks is interference between macro- and femto-cells. Using Orthogonal Frequency-Division Multiple Access (OFDMA) to create multiple frequency orthogonal sub-channels, this interference can be completely avoided if each sub-channel is exclusively used by either macro- or a femto-cell. However, such an orthogonal allocation may be inefficient. We consider two alternative strategies for interference management, opportunistic resource allocation (ORA) and interference alignment (IA). Both of them utilize the fading fluctuations across frequency channels in different ways. ORA allows the users to interfere, but selecting the channels where the interference is faded, while the desired signal has a good channel. IA uses precoding to create interference-free transmissions; however, such a precoding changes the diversity picture of the communication resources. In this letter we investigate the interactions and the trade-offs between these two strategies.

  14. Optimal Scheduling for Fair Resource Allocation in Ad Hoc Networks with Elastic and Inelastic Traffic

    Jaramillo, Juan Jose


    This paper studies the problem of congestion control and scheduling in ad hoc wireless networks that have to support a mixture of best-effort and real-time traffic. Optimization and stochastic network theory have been successful in designing architectures for fair resource allocation to meet long-term throughput demands. However, to the best of our knowledge, strict packet delay deadlines were not considered in this framework previously. In this paper, we propose for the first time a model for incorporating the quality of service (QoS) requirements of packets with deadlines in the optimization framework. The solution to the problem results in a joint congestion control and scheduling algorithm which fairly allocates resources to meet the fairness objectives of both elastic and inelastic flows, and per-packet delay requirements of inelastic flows.

  15. Cross-Layer Resource Allocation Scheme Under Heterogeneous Constraints for Next Generation High Rate WPAN

    Khalil, Ayman; Helard, Jean-Francois; 10.5121/ijcnc.2010.2312


    In the next generation wireless networks, the growing demand for new wireless applications is accompanied with high expectations for better quality of service (QoS) fulfillment especially for multimedia applications. Furthermore, the coexistence of future unlicensed users with existing licensed users is becoming a challenging task in the next generation communication systems to overcome the underutilization of the spectrum. A QoS and interference aware resource allocation is thus of special interest in order to respond to the heterogeneous constraints of the next generation networks. In this work, we address the issue of resource allocation under heterogeneous constraints for unlicensed multiband ultra-wideband (UWB) systems in the context of Future Home Networks, i.e. the wireless personal area network (WPAN). The problem is first studied analytically using a heterogeneous constrained optimization problem formulation. After studying the characteristics of the optimal solution, we propose a low-complexity sub...

  16. Yoga lessons for consciousness research: a paralimbic network balancing brain resource allocation

    Hans C Lou


    Full Text Available Consciousness has been proposed to play a key role in shaping flexible learning and as such is thought to confer an evolutionary advantage. Attention and awareness are the perhaps most important underlying processes, yet their precise relationship is presently unclear. Both of these processes must, however, serve the evolutionary imperatives of survival and procreation. They are thus intimately bound by reward and emotion to help to prioritize efficient brain resource allocation in order to predict and optimize behaviour. Here we show how this process is served by a paralimbic network consisting primarily of regions located on the midline of the human brain. Using many different techniques, experiments have demonstrated that this network is effective and specific for self-awareness and contributes to the sense of unity of consciousness by acting as a common neural path for a wide variety of conscious experiences. Interestingly, haemodynamic activity in the network decreases with focusing on external stimuli, which has led to the idea of a default mode network. This network is one of many networks that wax and vane as resources are allocated to accommodate the different cyclical needs of the organism primarily related the fundamental pleasures afforded by evolution: food, sex and conspecifics. Here we hypothesize, however, that the paralimbic network serves a crucial role in balancing and regulating brain resource allocation, and discuss how it can be thought of as a link between current theories of so-called default mode, resting state networks and global workspace. We show how major developmental disorders of self-awareness and self-control can arise from problems in the paralimbic network as demonstrated here by the example of Asperger syndrome. We conclude that attention, awareness and emotion are integrated by a paralimbic network that helps to efficiently allocate brain resources to optimize behaviour and help survival.

  17. Resource Allocation in Wireless Networks with RF Energy Harvesting and Transfer

    Lu, Xiao; Wang,Ping; Niyato, Dusit; Han, Zhu


    Radio frequency (RF) energy harvesting and transfer techniques have recently become alternative methods to power the next generation of wireless networks. As this emerging technology enables proactive replenishment of wireless devices, it is advantageous in supporting applications with quality-of-service (QoS) requirement. This article focuses on the resource allocation issues in wireless networks with RF energy harvesting capability, referred to as RF energy harvesting networks (RF-EHNs). Fi...

  18. State Modelling and Simultaneous Control of Discrete Part Manufacturing Product Transformation Processes and Resource Allocation

    Hans; Holm


    As competition in the market for discrete part prod uc ts gets harder and harder the requirements for extreme manufacturing operati on efficiencies get increasingly accentuated. Therefore requirements for well behaved manufacturing operation control get more and more significant. The purpose of the paper is to establish a framework for development of formal m ethods for design of systems for simultaneous control of continuous manufacturin g task processes and resource allocation of discrete part manu...

  19. [Resource allocation and justice in distribution of services in medical management of elderly patients].

    Driesch, G; Heuft, G


    This paper presents the most important arguments in medical allocation based on an analysis of the relevant literature. The main arguments of rationing scarce medical resources are scrutinized. Especially the use of age limit considerations are critically reviewed. The discussion takes place against a backdrop of aggravating pressure on old people as cost factors. As a basis for further discussion, the authors give a brief history of theories of justice in philosophy. Finally minimum requirements for a constructive and responsible discussion are stated.

  20. Existing opportunities to adapt the Rio Grande/Bravo Basin Water Resources Allocation Framework


    The study of the Rio Grande/Bravo (RGB) Basin water allocation demonstrates how the United States (U.S.) and Mexico have consolidated a transboundary framework based on water sharing. However, the water supply no longer meets the ever-increasing demand for water or the expectations of different stakeholders. This paper explores opportunities for an enhanced management regime that will address past problems and better examine how to balance demands for a precious resource and environmental nee...


    Kainga Prince Ebiowei


    Full Text Available Present study was conducted to determine the allocative efficiency and resource use of banana and plantain production enterprises in Bayelsa State of Nigeria. Three - stage sampling technique was used for drawing the samples and getting data. Total sample size was 180 farm households. The data were analyzed by using mean and production function models. Allocative efficiency and resource use results indicates farmers incapabil ity in efficient use and allocation of banana and plantain suckers, family labor and hired labor. In relation to total revenue, the elasticity of the plantain suckers showed that, an increase in it by one unit will lead to an increase in total revenue. Results from the allocative efficiency index, objective of profit maximization and equimarginal principle, indicated that banana suckers were efficiently allocated, while plantain suckers were inefficiently allocated; family and hired labor were inefficiently allocated in both banana and plantain enterprises. While plantain suckers were under - utilized, family and hired labor were both over - utilized in both enterprises, suggesting that farmers were yet to achieve absolute degree of allocative efficiency in thes e resources. However, they could profitably reduce the quantity of family and hired labor and increase plantain suckers that they employ. Thus, allocative efficiency and resource use can be enhanced by the provision of credit/ loan, good rural roads, impro ved varieties of suckers and farming technologies, extension services and subsidized farm inputs and equipment among others by Government, Non - Governmental Organizations (NGOs and institutions alike through genuine political will

  2. Effects of generalist herbivory on resistance and resource allocation by the invasive plant, Phytolacca americana.

    Huang, Wei; Ding, Jianqing


    Successful invasions by exotic plants are often attributed to a loss of co-evolved specialists and a re-allocation of resources from defense to growth and reproduction. However, invasive plants are rarely completely released from insect herbivory because they are frequently attacked by generalists in their introduced ranges. The novel generalist community may also affect the invasive plant's defensive strategies and resource allocation. Here, we tested this hypothesis using American pokeweed (Phytolacca americana L.), a species that has become invasive in China, which is native to North America. We examined resistance, tolerance, growth and reproduction of plant populations from both China and the USA when plants were exposed to natural generalist herbivores in China. We found that leaf damage was greater for invasive populations than for native populations, indicating that plants from invasive ranges had lower resistance to herbivory than those from native ranges. A regression of the percentage of leaf damage against mass showed that there was no significant difference in tolerance between invasive and native populations, even though the shoot, root, fruit and total mass were larger for invasive populations than for native populations. These results suggest that generalist herbivores are important drivers mediating the defensive strategies and resource allocation of the invasive American pokeweed. © 2015 Institute of Zoology, Chinese Academy of Sciences.

  3. Analyzing Sustainable Competitive Advantage: Strategically Managing Resource Allocations to Achieve Operational Competitiveness

    Abdul Malek Nurul Aida


    Full Text Available In today’s dynamic business environment, a key challenge for all companies is to make adaptive adjustments to their manufacturing strategy. This study demonstrates the competitive priorities of manufacturing strategy in hydro-power case company to evaluate the level of sustainable competitive advantage and also to further analyze how business strategies are aligned with manufacturing strategies. This research is based on new holistic analytical evaluation of manufacturing strategy index, sense and respond, and sustainable competitive advantage models. These models help to describe, evaluate, and optimize resource allocation to meet the performance requirements in dynamic decision making. Furthermore, these models evaluate operational competitiveness for manufacturing strategies according to the multi-criteria priority. The results show that the adjustments of competitive priorities in manufacturing strategies by implementing the proposed holistic analytical models are helpful in strategically managing business operations. The discussion derives the most critical attributes in business operations while alignment of resource allocation with competitive priorities help to strategically focus those attributes. In conclusion, we argue that resource allocation and manufacturing strategies have become the most important capabilities in a business environment where companies focus to get a sustainable competitive advantage.

  4. Large discreet resource allocation: a hybrid approach based on dea efficiency measurement

    Eliane Gonçalves Gomes


    Full Text Available Resource allocation is one of the traditional Operations Research problems. In this paper we propose a hybrid model for resource allocation that uses Data Envelopment Analysis efficiency measures. We use Zero Sum Gains DEA models as the starting point to decrease the computational work for the step-bystep algorithm to allocate integer resources in a DEA context. Our approach is illustrated by a numerical example.A alocação de recursos é um dos problemas clássicos da Pesquisa Operacional. Neste artigo é proposto um modelo híbrido para alocar recursos, que faz uso de medidas de eficiência calculadas por Análise de Envoltória de Dados (DEA. São usados modelos DEA com Ganhos de Soma Zero como ponto de partida para reduzir o esforço computacional do algoritmo seqüencial para alocação de recursos discretos em DEA. A abordagem aqui proposta é aplicada a um exemplo numérico.

  5. Energy-Efficient Resource Allocation for Phantom Cellular Networks with Imperfect CSI

    Abdelhady, Amr


    Multi-tier heterogeneous networks have become an essential constituent for next generation cellular networks. Meanwhile, energy efficiency (EE) has been considered a critical design criterion along with the traditional spectral efficiency (SE) metric. In this context, we study power and spectrum allocation for a two-tier phantom cellular network, The optimization framework includes both EE and SE. We consider densely deployed phantom cellular networks and model the EE optimization problem taking into consideration the inevitable interference in this setup and imperfect channel estimation impairments. To this end, we propose three resource allocation strategies aiming at optimizing this network EE performance metric. Furthermore, we investigate the effect of changing some system parameters on the performance of these strategies, such as phantom cells resource units share, number of deployed phantom cells within a macro cell , number of pilots, and the phantom cells transmission power budget. It is found that increasing the number of pilots will deteriorate the EE performance of the whole setup, while increasing phantom cells transmission power budget will not affect the EE of the whole setup significantly. In addition, we observed that it is always useful to allocate most of the network resource units to the phantom cells tier.

  6. A heuristic method for consumable resource allocation in multi-class dynamic PERT networks

    Yaghoubi, Saeed; Noori, Siamak; Mazdeh, Mohammad Mahdavi


    This investigation presents a heuristic method for consumable resource allocation problem in multi-class dynamic Project Evaluation and Review Technique (PERT) networks, where new projects from different classes (types) arrive to system according to independent Poisson processes with different arrival rates. Each activity of any project is operated at a devoted service station located in a node of the network with exponential distribution according to its class. Indeed, each project arrives to the first service station and continues its routing according to precedence network of its class. Such system can be represented as a queuing network, while the discipline of queues is first come, first served. On the basis of presented method, a multi-class system is decomposed into several single-class dynamic PERT networks, whereas each class is considered separately as a minisystem. In modeling of single-class dynamic PERT network, we use Markov process and a multi-objective model investigated by Azaron and Tavakkoli-Moghaddam in 2007. Then, after obtaining the resources allocated to service stations in every minisystem, the final resources allocated to activities are calculated by the proposed method.

  7. A Fair Resource Allocation Algorithm for Data and Energy Integrated Communication Networks

    Qin Yu


    Full Text Available With the rapid advancement of wireless network technologies and the rapid increase in the number of mobile devices, mobile users (MUs have an increasing high demand to access the Internet with guaranteed quality-of-service (QoS. Data and energy integrated communication networks (DEINs are emerging as a new type of wireless networks that have the potential to simultaneously transfer wireless energy and information via the same base station (BS. This means that a physical BS is virtualized into two parts: one is transferring energy and the other is transferring information. The former is called virtual energy base station (eBS and the latter is named as data base station (dBS. One important issue in such setting is dynamic resource allocation. Here the resource concerned includes both power and time. In this paper, we propose a fair data-and-energy resource allocation algorithm for DEINs by jointly designing the downlink energy beamforming and a power-and-time allocation scheme, with the consideration of finite capacity batteries at MUs and power sensitivity of radio frequency (RF to direct current (DC conversion circuits. Simulation results demonstrate that our proposed algorithm outperforms the existing algorithms in terms of fairness, beamforming design, sensitivity, and average throughput.

  8. Energy Efficient Resource Allocation for Cognitive Radios: A Generalized Sensing Analysis

    Alabbasi, Abdulrahman


    In this paper, two resource allocation schemes for energy efficient cognitive radio systems are proposed. Our design considers resource allocation approaches that adopt spectrum sharing combined with soft-sensing information, adaptive sensing thresholds, and adaptive power to achieve an energy efficient system. An energy per good-bit metric is considered as an energy efficient objective function. A multi-carrier system, such as, orthogonal frequency division multiplexing, is considered in the framework. The proposed resource allocation schemes, using different approaches, are designated as sub-optimal and optimal. The sub-optimal approach is attained by optimizing over a channel inversion power policy. The optimal approach utilizes the calculus of variation theory to optimize a problem of instantaneous objective function subject to average and instantaneous constraints with respect to functional optimization variables. In addition to the analytical results, selected numerical results are provided to quantify the impact of soft-sensing information and the optimal adaptive sensing threshold on the system performance.

  9. A note on some properties of an efficient network resource allocation mechanism

    Fernando Beltrán


    Full Text Available Presentamos algunas propiedades límite de un mecanismo de asignación de recursos en redes conocido como la Subasta Progresiva de Segundo Precio (PSP. Este mecanismo busca asignar eficientemente recursos de red tales como ancho de banda y capacidad de buffer, en un ambiente caracterizado por usuarios que compiten; la subasta PSP busca resolver, o al menos aliviar, la congestión en una red exigiendo un intercambio de información entre el subastador y los usuarios sin mucha carga de señalización, y resolviendo el problema de la asignación de un recurso (teóricamente infinitamente divisible. La regla de asignación está inspirada en la subasta de segundo precio (Vickrey. Nuestro análisis de la subasta PSP explora sus propiedades límite, por ejemplo, cómo cambia la asignación en la presencia de un conjunto polarizado de usuarios. Esto último se refiere a una situación en la que los usuarios se dividen en dos grupos: unos con alta demanda y baja valoración por el recurso y otros con baja demanda y alta valoración. Mecanismos tales como las subastas se han vuelto muy populares para la asignación de recursos en redes que presentan congestión, tales como el acceso a servicios Internet. / We present some limiting properties of a network resource allocation mechanism known as the Progressive Second Price (PSP auction. This mechanism aims at efficiently allocate network resources, such as bandwidth or buffer capacity, in an environment characterized by competing users; the PSP auction seeks to solve or at least to ameliorate congestion in a network demanding a low signalling burden between the auctioneer and the users, and solving the allocation problem of an (theoretically infinitely divisible resource. The allocation rule is inspired in the second price (Vickrey auction. Our analysis of the PSP auction explores its limiting properties, namely, how the allocation changes in the presence of a polarized set of users. A polarized set of

  10. Estimation of Distribution Algorithm for Resource Allocation in Green Cooperative Cognitive Radio Sensor Networks

    Alagan Anpalagan


    Full Text Available Due to the rapid increase in the usage and demand of wireless sensor networks (WSN, the limited frequency spectrum available for WSN applications will be extremely crowded in the near future. More sensor devices also mean more recharging/replacement of batteries, which will cause significant impact on the global carbon footprint. In this paper, we propose a relay-assisted cognitive radio sensor network (CRSN that allocates communication resources in an environmentally friendly manner. We use shared band amplify and forward relaying for cooperative communication in the proposed CRSN. We present a multi-objective optimization architecture for resource allocation in a green cooperative cognitive radio sensor network (GC-CRSN. The proposed multi-objective framework jointly performs relay assignment and power allocation in GC-CRSN, while optimizing two conflicting objectives. The first objective is to maximize the total throughput, and the second objective is to minimize the total transmission power of CRSN. The proposed relay assignment and power allocation problem is a non-convex mixed-integer non-linear optimization problem (NC-MINLP, which is generally non-deterministic polynomial-time (NP-hard. We introduce a hybrid heuristic algorithm for this problem. The hybrid heuristic includes an estimation-of-distribution algorithm (EDA for performing power allocation and iterative greedy schemes for constraint satisfaction and relay assignment. We analyze the throughput and power consumption tradeoff in GC-CRSN. A detailed analysis of the performance of the proposed algorithm is presented with the simulation results.

  11. K-Shortest-Path-Based Evacuation Routing with Police Resource Allocation in City Transportation Networks.

    Yunyue He

    Full Text Available Emergency evacuation aims to transport people from dangerous places to safe shelters as quickly as possible. Police play an important role in the evacuation process, as they can handle traffic accidents immediately and help people move smoothly on roads. This paper investigates an evacuation routing problem that involves police resource allocation. We propose a novel k-th-shortest-path-based technique that uses explicit congestion control to optimize evacuation routing and police resource allocation. A nonlinear mixed-integer programming model is presented to formulate the problem. The model's objective is to minimize the overall evacuation clearance time. Two algorithms are given to solve the problem. The first one linearizes the original model and solves the linearized problem with CPLEX. The second one is a heuristic algorithm that uses a police resource utilization efficiency index to directly solve the original model. This police resource utilization efficiency index significantly aids in the evaluation of road links from an evacuation throughput perspective. The proposed algorithms are tested with a number of examples based on real data from cities of different sizes. The computational results show that the police resource utilization efficiency index is very helpful in finding near-optimal solutions. Additionally, comparing the performance of the heuristic algorithm and the linearization method by using randomly generated examples indicates that the efficiency of the heuristic algorithm is superior.

  12. A Hierarchical Auction-Based Mechanism for Real-Time Resource Allocation in Cloud Robotic Systems.

    Wang, Lujia; Liu, Ming; Meng, Max Q-H


    Cloud computing enables users to share computing resources on-demand. The cloud computing framework cannot be directly mapped to cloud robotic systems with ad hoc networks since cloud robotic systems have additional constraints such as limited bandwidth and dynamic structure. However, most multirobotic applications with cooperative control adopt this decentralized approach to avoid a single point of failure. Robots need to continuously update intensive data to execute tasks in a coordinated manner, which implies real-time requirements. Thus, a resource allocation strategy is required, especially in such resource-constrained environments. This paper proposes a hierarchical auction-based mechanism, namely link quality matrix (LQM) auction, which is suitable for ad hoc networks by introducing a link quality indicator. The proposed algorithm produces a fast and robust method that is accurate and scalable. It reduces both global communication and unnecessary repeated computation. The proposed method is designed for firm real-time resource retrieval for physical multirobot systems. A joint surveillance scenario empirically validates the proposed mechanism by assessing several practical metrics. The results show that the proposed LQM auction outperforms state-of-the-art algorithms for resource allocation.

  13. Service-Oriented Resource Allocation in Clouds:Pursuing Flexibility and Efficiency

    张胜; 钱柱中; 吴杰; 陆桑璐


    The networking-oblivious resource reservation model in today’s public clouds cannot guarantee the performance of tenants’ applications. Virtual networks that capture both computing and networking resource requirements of tenants have been proposed as better interfaces between cloud providers and tenants. In this paper, we propose a novel virtual network model that could specify not only absolute and relative location requirements but also time-varying resource demands. Building on top of our model, we study how to efficiently and flexibly place multiple virtual networks in a cloud, and we propose two algorithms, MIPA and SAPA, which focus on optimizing resource utilization and providing flexible placement, respectively. The mixed integer programming based MIPA transforms the placement problem into the multi-commodity flow problem through augmenting the physical network with shadow nodes and links. The simulated annealing-based SAPA achieves resource utilization efficiency through opportunistically sharing physical resources among multiple resource demands. Besides, SAPA allows cloud providers to control the trade-offs between performance guarantee and resource utilization, and between allocation optimality and running time, and allows tenants to control the trade-off between application performance and placement cost. Extensive simulation results confirm the efficiency of MIPA in resource utilization and the flexibility of SAPA in controlling trade-offs.

  14. Analysis of Cloud Network Management Using Resource Allocation and Task Scheduling Services

    K.C. Okafor


    Full Text Available Network failure in cloud datacenter could result from inefficient resource allocation; scheduling and logical segmentation of physical machines (network constraints. This is highly undesirable in Distributed Cloud Computing Networks (DCCNs running mission critical services. Such failure has been identified in the University of Nigeria datacenter network situated in the south eastern part of Nigeria. In this paper, the architectural decomposition of a proposed DCCN was carried out while exploring its functionalities for grid performance. Virtualization services such as resource allocation and task scheduling were employed in heterogeneous server clusters. The validation of the DCCN performance was carried out using trace files from Riverbed Modeller 17.5 in order to ascertain the influence of virtualization on server resource pool. The QoS metrics considered in the analysis are: the service delay time, resource availability, throughput and utilization. From the validation analysis of the DCCN, the following results were obtained: average throughput (bytes/Sec for DCCN = 40.00%, DCell = 33.33% and BCube = 26.67%. Average resource availability response for DCCN = 38.46%, DCell = 33.33%, and BCube = 28.21%. DCCN density on resource utilization = 40% (when logically isolated and 60% (when not logically isolated. From the results, it was concluded that using virtualization in a cloud DataCenter servers will result in enhanced server performance offering lower average wait time even with a higher request rate and longer duration of resource use (service availability. By evaluating these recursive architectural designs for network operations, enterprises ready for Spine and leaf model could further develop their network resource management schemes for optimal performance.

  15. Provincial Water Resource Allocation in Agricultural Sector Using Conflict Resolution Methods in Atrak Basin

    Parvaneh KazemiMeresht


    Full Text Available Introduction: In spite of improving the water productivity due to development in water infrastructure systems, population increasing causing the water withdrawal is triple in the last fifty years. In this situation competition on water consumption especially in the agricultural sector which is the biggest consumer in the world and also in Iran is a severe problem. Water allocation has been assessed widely in the recent past. Additionally, several studies have explored methods to incorporate conflict resolution methods in water allocation. In a general classification, there are two types of methods. One is the method based on game theory, graph theory and general models based oncooperative game into a category that has the ability to consider the stakeholder preferences and assess the several scenarios under specified policy. Although this type of methods iseligible to cooperate the stakeholder in modeling but due to their weakness on considering the information on details and their limitations in adoption with changes caused from uncertainty, they are not popular in practical cases. Another type of conflict resolution method which is eligible to considering more detailed information of systems has the optimization approach basically, has the most interests between researchers. There is namely the Nash bargaining solution, the Kalai-Smorodinesky solution, the Equal loss solution and the area monotonic solution. There are several studies which areapplied these methods to investigate about groundwater (5, 6 and10. There are a few applications of water resource allocation models which is incorporated with conflict resolution methods in Transboundary Rivers nowadays and restricted to game theory related methods (1 and 2. The aim of this study is the assessment of the application of conflict resolution methods such as symmetric and non symmetric Nash solution, non symmetricKalai-Smorodinesky, non symmetric equal loss solution and finally the area

  16. Optimal Water Resources Allocation under the Constraint of Land Use in the Heihe River Basin of China

    Zhanqi Wang


    Full Text Available In recent years, water scarcity and irrational utilization have become the pivotal issues for the sustainable development of river basins in China. This paper attempts to propose a new perspective for the optimization of water resources allocation in a typical river basin. In order to conduct an accurate and feasible program for water resources allocation in the water-deficient river basin, a multi-objective and multi-constraint programming model was developed by embedding land use effect as a constraint on water allocation, which was currently solely decided by water resources demand in different water use sectors. The program includes two layers, namely water allocation among different counties located in the middle reaches of the Heihe River Basin and among domestic, industrial, agricultural and ecological uses within one county. Empirical analysis shows that the structural change of land use has an important influence and restriction on the water resources allocation in the river basin. The least cultivated areas that ensure food security and the constraint of construction land quota have great impact on agricultural and industrial water allocation. Moreover, the quantitative change of ecological land greatly affects ecological water allocation. The results demonstrate that the optimal program calculated from land use embedded model can well predicate the actual situation of water allocation in the future. To ensure regional sustainable development, it is vital that reasonable water-saving measures in each water use sector and ecological protection policies be taken.

  17. Resource Allocation in a Frequency Hopping PCS1900/GSM/DCS1800 Type of Network

    Nielsen, Thomas Toftegaard; Wigard, Jeroen; Michaelsen, Per-Henrik


    Resource allocation in a frequency hopping network is even more problematic than in a traditional network. The combined effect from all serving frequencies has to be considered directly in the allocation process. An algorithm doing this for a PCS1900/GSM/DCS1800 type of network is presented...

  18. Power-efficient distributed resource allocation under goodput QoS constraints for heterogeneous networks

    Andreotti, Riccardo; Del Fiorentino, Paolo; Giannetti, Filippo; Lottici, Vincenzo


    This work proposes a distributed resource allocation (RA) algorithm for packet bit-interleaved coded OFDM transmissions in the uplink of heterogeneous networks (HetNets), characterized by small cells deployed over a macrocell area and sharing the same band. Every user allocates its transmission resources, i.e., bits per active subcarrier, coding rate, and power per subcarrier, to minimize the power consumption while both guaranteeing a target quality of service (QoS) and accounting for the interference inflicted by other users transmitting over the same band. The QoS consists of the number of information bits delivered in error-free packets per unit of time, or goodput (GP), estimated at the transmitter by resorting to an efficient effective SNR mapping technique. First, the RA problem is solved in the point-to-point case, thus deriving an approximate yet accurate closed-form expression for the power allocation (PA). Then, the interference-limited HetNet case is examined, where the RA problem is described as a non-cooperative game, providing a solution in terms of generalized Nash equilibrium. Thanks to the closed-form of the PA, the solution analysis is based on the best response concept. Hence, sufficient conditions for existence and uniqueness of the solution are analytically derived, along with a distributed algorithm capable of reaching the game equilibrium.

  19. Fair reckoning: a qualitative investigation of responses to an economic health resource allocation survey.

    Giacomini, Mita; Hurley, Jeremiah; DeJean, Deirdre


    To investigate how participants in an economic resource allocation survey construct notions of fairness. Qualitative interview study guided by interpretive grounded theory methods. Qualitative interviews were conducted with volunteer university- (n=39) and community-based (n =7) economic survey participants. INTERVENTION OR MAIN VARIABLES STUDIED: We explored how participants constructed meanings to guide or explain fair survey choices, focusing on rationales, imagery and additional desired information not provided in the survey scenarios. Data were transcribed and coded into qualitative categories. Analysis iterated with data collection iterated through three waves of interviews. Participants compared the survey dilemmas to domains outside the health system. Most compared them with other micro-level, inter-personal sharing tasks. Participants raised several fairness-relevant factors beyond need or capacity to benefit. These included age, weight, poverty, access to other options and personal responsibility for illness; illness duration, curability or seriousness; life expectancy; possibilities for sharing; awareness of other's needs; and ability to explain allocations to those affected. They also articulated a fairness principle little considered by equity theories: that everybody must get something and nobody should get nothing. Lay criteria for judging fairness are myriad. Simple scenarios may be used to investigate lay commitments to abstract principles. Although principles are the focus of analysis and inference, participants may solve simplified dilemmas by imputing extraneous features to the problem or applying unanticipated principles. These possibilities should be taken into account in the design of resource allocation surveys eliciting the views of the public. © 2012 John Wiley & Sons Ltd.

  20. Resource Allocation for Sustainable Urban Transit from a Transport Diversity Perspective

    Cheng-Min Feng


    Full Text Available Different transport stakeholders have different needs for transport infrastructure and services. Meeting the needs of all stakeholders implies a trade-off of benefits and costs between supply and demand and creates transport diversity issues. However, the literature has largely ignored these issues. Transport diversity can assess the level to which important needs are satisfied equitably, and monitor whether transportation systems are moving towards sustainability by confirming the targets and basic level of quality of life. Based on the concept of transport diversity, this study utilizes fuzzy multi-objective programming to solve non-linear multi-objective problems involving urban public transit systems to determine the impact of resource allocation on needs satisfaction in relation to stakeholder behaviors. The proposed approach avoids problems of inefficient and inequitable resource allocation. A real-life case is presented to demonstrate the feasibility of applying the proposed methodology. Furthermore, empirical outcomes show that recent investments allocated to public transit systems considered equitable stakeholder satisfaction for both mass rapid transit (MRT and bus, and also promoted transport diversity in the Taipei metropolitan area.

  1. Development of Efficient Resource Allocation Algorithm in Chunk Based OFDMA System

    Yadav Mukesh Kumar


    Full Text Available The emerging demand for diverse data applications in next generation wireless networks entails both high data rate wireless connections and intelligent multiuser scheduling designs. The orthogonal frequency division multiple access based system is capable of delivering high speed data rate and can operate in a multipath environment. OFDMA based system dividing an entire channel into many orthogonal narrow band subcarriers. Due to this, it is useful to eliminate inter symbol interferences which is a limit of total available data rates. In this paper, investigation about resource allocation problem for the chunk based Orthogonal Frequency Division Multiple Access (OFDMA wireless multicast systems is done. In this paper, it is expected that the Base Station (BS has multiple antennas in a Distributed Antenna System (DAS. The allocation unit is a group of contiguous subcarriers (chunk in conventional OFDMA systems. The aim of this investigation is to develop an efficient resource allocation algorithm to maximize the total throughput and minimize the average outage probability over a chunk with respect to average Bit Error Rate (BER and total available power.

  2. Energy-Efficient Resource Allocation in Wireless Networks: An Overview of Game-Theoretic Approaches

    Meshkati, Farhad; Schwartz, Stuart C


    An overview of game-theoretic approaches to energy-efficient resource allocation in wireless networks is presented. Focusing on multiple-access networks, it is demonstrated that game theory can be used as an effective tool to study resource allocation in wireless networks with quality-of-service (QoS) constraints. A family of non-cooperative (distributed) games is presented in which each user seeks to choose a strategy that maximizes its own utility while satisfying its QoS requirements. The utility function considered here measures the number of reliable bits that are transmitted per joule of energy consumed and, hence, is particulary suitable for energy-constrained networks. The actions available to each user in trying to maximize its own utility are at least the choice of the transmit power and, depending on the situation, the user may also be able to choose its transmission rate, modulation, packet size, multiuser receiver, multi-antenna processing algorithm, or carrier allocation strategy. The best-respo...

  3. Fairness-Aware and Energy Efficiency Resource Allocation in Multiuser OFDM Relaying System

    Guangjun Liang


    Full Text Available A fairness-aware resource allocation scheme in a cooperative orthogonal frequency division multiple (OFDM network is proposed based on jointly optimizing the subcarrier pairing, power allocation, and channel-user assignment. Compared with traditional OFDM relaying networks, the source is permitted to retransfer the same data transmitted by it in the first time slot, further improving the system capacity performance. The problem which maximizes the energy efficiency (EE of the system with total power constraint and minimal spectral efficiency constraint is formulated into a mixed-integer nonlinear programming (MINLP problem which has an intractable complexity in general. The optimization model is simplified into a typical fractional programming problem which is testified to be quasiconcave. Thus we can adopt Dinkelbach method to deal with MINLP problem proposed to achieve the optimal solution. The simulation results show that the joint resource allocation method proposed can achieve an optimal EE performance under the minimum system service rate requirement with a good global convergence.

  4. Modeling for transboundary water resources planning and allocation: the case of Southern Africa

    D. Juízo


    Full Text Available International water resources agreements for transboundary rivers in southern Africa are generally founded in system analysis models for water planning and allocation. The Water Resources Yield Model (WRYM developed in South Africa has so far been the only model applied in official joint water resources studies aimed to form water-sharing agreements. The continuous discussion around the model performance and growing distress over it being South African, where it was originally developed, while South Africa is one of the interested parties in the process, results in an increased controversy over the system analysis results that are often only meant to guide in selecting the options for water resources management in a given set of scenarios. The objective of this study was therefore to assess the model performance of two other models; WAFLEX and WEAP21 in the Umbeluzi River Basin system where the WRYM was previously applied as part of a Joint River Basin Study. A set of basin development scenarios was equally tested in the three models and the results compared. The results show that the three models all are possible tools for system analysis of river basins in southern Africa, although the structure and complexity of the models are different. The obtained level of satisfaction for specific water users could, however, vary depending on which model was used, which causes uncertainties. The reason for the diverse results is the structurally different ways of describing allocation and prioritization of water in the three models. However, the large degrees of freedom in all system models cause even larger uncertainty in the results since the model developer can, intentionally or unintentionally, direct the results to favor certain water user. The conclusion of this study is therefore that the choice of model does not per se affect the decision of best water allocation and infrastructure layout of a shared river basin. The chosen allocation and

  5. Interactive effects of pollination and heavy metals on resource allocation in Potentilla anserina L.

    Saikkonen, K. [Univ. of Turku (Finland). Dept. of Biology]|[Arizona State Univ., Tempe, AZ (United States). Dept. of Zoology; Koivunen, S.; Vuorisalo, T. [Univ. of Turku (Finland). Dept. of Biology; Mutikainen, P. [Univ. of Turku (Finland). Dept. of Biology]|[ETH, Zuerich (Switzerland). Experimental Ecology


    The authors studied resource allocation between sexual reproduction and clonal propagation in a perennial stoloniferous clonal plant, Potentilla anserina, an obligate outcrosser. They manipulated reproductive effort of Potentilla anserina either by hand-pollinating all flowers or by preventing pollination. To test the effect of resource-limiting conditions on resource allocation and reproductive output, the authors used a control and two levels of heavy metals (copper and nickel) to limit plant growth. The experiment was conducted as a 2 {times} 3 factorial design to reveal possible interactions between reproductive manipulation and resource limitation. Heavy metals decreased the total biomass of the plants and number of flowers and ramets produced. Only 50% of the plants grown with the higher level of heavy metals produced flowers. Pollination treatment interacted significantly with the heavy-metal treatment. In the metal control and lower heavy-metal treatment, there were no significant differences in total vegetative biomass between the two pollination treatments. Costs of reproduction in terms of subsequent flowering in the later season appeared to be clear, because the number of flowers per whole plant was lower if the plants were hand-pollinated and because the proportion of flowering ramets decreased due to hand-pollination. However, flowering may also be partly hormonally controlled. In contrast, hand-pollinated plants exposed to high concentrations of heavy metals tended to have greater biomass of vegetative plant structures and higher number of flowers compared to nonpollinated plants.

  6. Optimal distributed resource allocation in a wireless sensor network for control systems

    MAO Jian-lin; WU Zhi-ming


    Wireless technology is applied increasingly in networked control systems. A new form of wireless network called wireless sensor network can bring control systems some advantages, such as flexibility and feasibility of network deployment at low costs, while it also raises some new challenges. First, the communication resources shared by all the control loops are limited.Second, the wireless and multi-hop character of sensor network makes the resources scheduling more difficult. Thus, how to effectively allocate the limited communication resources for those control loops is an important problem. In this paper, this problem is formulated as an optimal sampling frequency assignment problem, where the objective function is to maximize the utility of control systems, subject to channel capacity constraints. Then an iterative distributed algorithm based on local buffer information is proposed. Finally, the simulation results show that the proposed algorithm can effectively allocate the limited communication resource in a distributed way. It can achieve the optimal quality of the control system and adapt to the network load changes.

  7. Cross-efficiency DEA model-based evaluation of allocative efficiency of rural information resources in Jiangsu Province, China

    Jiannong; ZHOU; Aidong; PENG; Jing; CUI; Shuiqing; HUANG


    Purpose:This paper aims to compare and rank the allocative efficiency of information resources in rural areas by taking 13 rural areas in Jiangsu Province,China as the research sample.Design/methodology/approach:We designed input and output indicators for allocation of rural information resources and conducted the quantitative evaluation of allocative efficiency of rural information resources based on cross-efficiency model in combination with the classical CCR model in data envelopment analysis(DEA).Findings:Cross-efficiency DEA model can be used for our research with the objective to evaluate quantitatively and objectively whether the allocation of information resources in various rural areas is reasonable and whether the output is commensurate with the input.Research limitations:We have to give up using some indicators because of limited data availability.There is a need to further improve the cross-efficiency DEA model because it cannot identify the specific factors influencing the efficiency of decision-making units(DMUs).Practical implications:The evaluation results will help us understand the present allocative efficiency levels of information resources in various rural areas so as to provide a decisionmaking basis for formulation of the policies aimed at promoting the circulation of information resources in rural areas.Originality/value:Little or no research has been published about the allocative efficiency of rural information resources.The value of this research lies in its focus on studying rural informatization from the perspective of allocative efficiency of rural information resources and in the application of cross-efficiency DEA model to evaluate allocative efficiency of rural information resources as well.

  8. Multiuser Radio Resource Allocation for Multiservice Transmission in OFDMA-Based Cooperative Relay Networks

    Zhang Xing


    Full Text Available Abstract The problem of multiservice transmission in OFDMA-based cooperative relay networks is studied comprehensively. We propose a framework to adaptively allocate power, subcarriers, and data rate in OFDMA system to maximize spectral efficiency under the constraints of satisfying multiuser multiservices' QoS requirements. Specifically, first we concentrate on the single-user scenario which considers multiservice transmission in point-to-point cooperative relay network. Based on the analysis of single-user scenario, we extend the multiservice transmission to multiuser point-to-multipoint scenario. Next, based on the framework, we propose several suboptimal radio resource allocation algorithms for multiservice transmissions in OFDMA-based cooperative relay networks to further reduce the computational complexity. Simulation results show that the proposed algorithms yield much higher spectral efficiency and much lower outage probability, which are flexible and efficient for the OFDMA-based cooperative relay system.

  9. Water resources allocation under climatic and population scenarios: case of Loumbila dam in Burkina Faso.

    Kabore Bontogho, P. E.; Boubacar, I.


    In the face of increased pressures on water resources as well as climate change, the need for managing water allocation is important. This study sought to model water allocation under climate change and human pressure. The Loumbila dam located in central Burkina Faso (12°29 N, 01°24 W) plays a great role in the capital's water supply system and is selected as a case study to reconstitute inflows, simulate actual water allocation and predict monthly water allocation under different climate change scenarios using AFR-44-HIRHAM5 bias corrected data. For these purposes, the inflow of the dam was reconstituted through regression method. The water allocation model (WEAP) has been applied to simulate monthly water availability and demand under RCP_8.5 and RCP_4.5 scenarios by 2050. RCMs data bias correction was set up based on delta change method. The assessment of water needs shows an upward trend of water supply meaning that this site will experience great challenges in the near future. The unmet demand for all sites will increase due to the decrease in water availability and increase in water demand. Analysis of the average monthly unmet demands from water supply shows an increase of water need up to 6.5 million of cubic meter in April-May with RCP_8.5 scenarios while scenarios 4.5 simulate a future unmet water supply demand less than 3.5 million of cubic meters in April-May period. Thus both scenarios show increasing unmet water supply demand. The monthly unmet demand from the municipalities needs shows an increase up to 69 000 cubic meters in December under RCP_8.5 scenarios. The analysis shows also an increase of irrigation water need up to 750 000 cubic meters under RCP_8.5 scenarios.

  10. A decision-analytic approach to the optimal allocation of resources for endangered species consultation

    Converse, Sarah J.; Shelley, Kevin J.; Morey, Steve; Chan, Jeffrey; LaTier, Andrea; Scafidi, Carolyn; Crouse, Deborah T.; Runge, Michael C.


    The resources available to support conservation work, whether time or money, are limited. Decision makers need methods to help them identify the optimal allocation of limited resources to meet conservation goals, and decision analysis is uniquely suited to assist with the development of such methods. In recent years, a number of case studies have been described that examine optimal conservation decisions under fiscal constraints; here we develop methods to look at other types of constraints, including limited staff and regulatory deadlines. In the US, Section Seven consultation, an important component of protection under the federal Endangered Species Act, requires that federal agencies overseeing projects consult with federal biologists to avoid jeopardizing species. A benefit of consultation is negotiation of project modifications that lessen impacts on species, so staff time allocated to consultation supports conservation. However, some offices have experienced declining staff, potentially reducing the efficacy of consultation. This is true of the US Fish and Wildlife Service's Washington Fish and Wildlife Office (WFWO) and its consultation work on federally-threatened bull trout (Salvelinus confluentus). To improve effectiveness, WFWO managers needed a tool to help allocate this work to maximize conservation benefits. We used a decision-analytic approach to score projects based on the value of staff time investment, and then identified an optimal decision rule for how scored projects would be allocated across bins, where projects in different bins received different time investments. We found that, given current staff, the optimal decision rule placed 80% of informal consultations (those where expected effects are beneficial, insignificant, or discountable) in a short bin where they would be completed without negotiating changes. The remaining 20% would be placed in a long bin, warranting an investment of seven days, including time for negotiation. For formal

  11. Electric power grid control using a market-based resource allocation system

    Chassin, David P.


    Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. In one exemplary embodiment, a plurality of requests for electricity are received from a plurality of end-use consumers. The requests indicate a requested quantity of electricity and a consumer-requested index value indicative of a maximum price a respective end-use consumer will pay for the requested quantity of electricity. A plurality of offers for supplying electricity are received from a plurality of resource suppliers. The offers indicate an offered quantity of electricity and a supplier-requested index value indicative of a minimum price for which a respective supplier will produce the offered quantity of electricity. A dispatched index value is computed at which electricity is to be supplied based at least in part on the consumer-requested index values and the supplier-requested index values.

  12. Electric power grid control using a market-based resource allocation system

    Chassin, David P


    Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. In one exemplary embodiment, a plurality of requests for electricity are received from a plurality of end-use consumers. The requests indicate a requested quantity of electricity and a consumer-requested index value indicative of a maximum price a respective end-use consumer will pay for the requested quantity of electricity. A plurality of offers for supplying electricity are received from a plurality of resource suppliers. The offers indicate an offered quantity of electricity and a supplier-requested index value indicative of a minimum price for which a respective supplier will produce the offered quantity of electricity. A dispatched index value is computed at which electricity is to be supplied based at least in part on the consumer-requested index values and the supplier-requested index values.

  13. Using one-way communications in a market-based resource allocation system

    Chassin, David P.; Pratt, Robert G.


    Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. In one exemplary embodiment, a plurality of requests for electricity are received from a plurality of end-use consumers. The requests indicate a requested quantity of electricity and a consumer-requested index value indicative of a maximum price a respective end-use consumer will pay for the requested quantity of electricity. A plurality of offers for supplying electricity are received from a plurality of resource suppliers. The offers indicate an offered quantity of electricity and a supplier-requested index value indicative of a minimum price for which a respective supplier will produce the offered quantity of electricity. A dispatched index value is computed at which electricity is to be supplied based at least in part on the consumer-requested index values and the supplier-requested index values.


    Pan Su; Ye Qiang; Liu Shengmei; Zhou Dawei


    Next wireless network aims to integrate heterogeneous wireless access networks by sharing wireless resource.The spectral bandwidth mapping concept is proposed to uniformly describe the resource in heterogeneous wireless networks.The resources of codes and power levels in WCDMA system as well as statistical time slots in WLAN are mapped into equivalent bandwidth which can be allocated in different networks and layers.The equivalent bandwidth is jointly distributed in call admission and vertical handoff control process in an integrated WLAN/WCDMA system to optimize the network utility and guarantee the heterogeneous QoS required by calls.Numerical results show that,when the incoming traffic is moderate,the proposed scheme could receive 5%-10% increase of system revenue compared to the MDP based algorithms.

  15. Pre-allocation Strategies of Computational Resources in Cloud Computing using Adaptive Resonance Theory-2

    Nair, T R Gopalakrishnan


    One of the major challenges of cloud computing is the management of request-response coupling and optimal allocation strategies of computational resources for the various types of service requests. In the normal situations the intelligence required to classify the nature and order of the request using standard methods is insufficient because the arrival of request is at a random fashion and it is meant for multiple resources with different priority order and variety. Hence, it becomes absolutely essential that we identify the trends of different request streams in every category by auto classifications and organize preallocation strategies in a predictive way. It calls for designs of intelligent modes of interaction between the client request and cloud computing resource manager. This paper discusses about the corresponding scheme using Adaptive Resonance Theory-2.

  16. Game Theoretic Modeling of Water Resources Allocation Under Hydro-Climatic Uncertainty

    Brown, C.; Lall, U.; Siegfried, T.


    Typical hydrologic and economic modeling approaches rely on assumptions of climate stationarity and economic conditions of ideal markets and rational decision-makers. In this study, we incorporate hydroclimatic variability with a game theoretic approach to simulate and evaluate common water allocation paradigms. Game Theory may be particularly appropriate for modeling water allocation decisions. First, a game theoretic approach allows economic analysis in situations where price theory doesn't apply, which is typically the case in water resources where markets are thin, players are few, and rules of exchange are highly constrained by legal or cultural traditions. Previous studies confirm that game theory is applicable to water resources decision problems, yet applications and modeling based on these principles is only rarely observed in the literature. Second, there are numerous existing theoretical and empirical studies of specific games and human behavior that may be applied in the development of predictive water allocation models. With this framework, one can evaluate alternative orderings and rules regarding the fraction of available water that one is allowed to appropriate. Specific attributes of the players involved in water resources management complicate the determination of solutions to game theory models. While an analytical approach will be useful for providing general insights, the variety of preference structures of individual players in a realistic water scenario will likely require a simulation approach. We propose a simulation approach incorporating the rationality, self-interest and equilibrium concepts of game theory with an agent-based modeling framework that allows the distinct properties of each player to be expressed and allows the performance of the system to manifest the integrative effect of these factors. Underlying this framework, we apply a realistic representation of spatio-temporal hydrologic variability and incorporate the impact of

  17. Resource Allocation and Interference Management for D2D-Enabled DL/UL Decoupled Het-Nets

    Celik, Abdulkadir


    In this paper, resource allocation and interference mitigation are investigated for heterogeneous networks (HetNets) where the lowest tier consists of device-to-device (D2D) cells. In order to alleviate dead-zone problem, we first consider downlink/ uplink (DL/UL) decoupling (DUDe) user association and quantify its capability on interference management and networkwide D2D performance enhancement. Secondly, we propose an UL fractional frequency reuse (FFR) scheme where subband (SB) bandwidths are adaptively determined based on: i) user equipment (UE) density, ii) e-node-B (eNB) density, and iii) ON/OFF switching frequency of smallcells. Obtained results show that the adaptive method significantly reduces the number of outage users. Thereafter, a novel concatenated bi-partite matching (CBM) method is proposed for joint SB assignment (SA) and resource block allocation (RA) of cellular UEs (CUEs). Numerical results show that the CBM provides a close performance to exhaustive solution with greatly reduced running time. The CBM is then extended to a centralized mode selection, SA, and RA for D2D cells. Alternatively, we develop offline and online semidistributed approaches where a D2D-cell can reuse white-list RBs (WRBs), which are not occupied by the adjacent smallcells. In the former, D2D-cell members are not aware of intra-cell and inter-cell interference and uniformly distribute their maximum permissible power to WRBs. In the latter, we put D2D sumrate maximization into a convex form by exploiting the proximity gain of D2D UEs (DUEs). Online distributed solution is then developed by message passing of dual variables and consistency prices. Finally, virtues and drawbacks of the developed approaches are compared and explained.

  18. Sustainability-Oriented Financial Resource Allocation in a Project Portfolio through Multi-Criteria Decision-Making

    Nomeda Dobrovolskienė


    Full Text Available Modern portfolio theory attempts to maximize the expected return of a portfolio for a given level of portfolio risk, or equivalently minimize risk for a given level of expected return. The reality, however, shows that, when selecting projects to a portfolio and allocating resources in the portfolio, an increasing number of organizations take into account other aspects as well. As a result of the sole purpose (risk-return, it offers only a partial solution for a sustainable organization. Existing project portfolio selection and resource allocation methods and models do not consider sustainability. Therefore, the aim of this article is to develop a sustainability-oriented model of financial resource allocation in a project portfolio by integrating a composite sustainability index of a project into Markowitz’s classical risk-return scheme (mean-variance model. The model was developed by applying multi-criteria decision-making methods. The practicability of the model was tested by an empirical study in a selected construction company. The proposed sustainability-oriented financial resource allocation model could be used in allocating financial resources in any type of business. The use of the model would not only help organisations to manage risk and achieve higher return but would also allow carrying out sustainable projects, thereby promoting greater environmental responsibility and giving more consideration to the wellbeing of future generations. Moreover, the model allows quantifying the impact of the integration of sustainability into financial resource allocation on the return of a portfolio.

  19. Females paired with new and heavy mates reduce intra-clutch differences in resource allocation.

    Maud Poisbleau

    Full Text Available Reproductive investment affects both offspring and parental fitness and influences the evolution of life histories. Females may vary their overall primary reproductive effort in relation to the phenotypic characteristics of their mate. However, the effects of male quality on differential resource allocation within clutches have been largely neglected despite the potential implications for mate choice and population dynamics, especially in species exhibiting biparental care and brood reduction. Female southern rockhopper penguins Eudyptes chrysocome paired with heavy mates reduced intra-clutch variation in egg and albumen masses. Females paired with new mates also reduced intra-clutch variation in yolk androgen levels. Since both an increased mass and increased androgen concentrations positively influence chick survival under sibling competition, the chances of fledging the whole clutch are likely to be higher for newly formed pairs with heavy males than for previously formed pairs with light males. Interestingly, total clutch provisioning did not vary with male quality. We show for the first time that females vary intra-clutch variation in resource allocation according to male quality. In species with brood reduction, it may be more adaptive for females to modulate the distribution of resources within the clutch according to breeding conditions, than to change their total clutch provisioning.

  20. Resource allocation in heterogeneous cloud radio access networks: advances and challenges

    Dahrouj, Hayssam


    Base station densification is increasingly used by network operators to provide better throughput and coverage performance to mobile subscribers in dense data traffic areas. Such densification is progressively diffusing the move from traditional macrocell base stations toward heterogeneous networks with diverse cell sizes (e.g., microcell, picocell, femotcell) and diverse radio access technologies (e.g., GSM, CDMA), and LTE). The coexistence of the different network entities brings an additional set of challenges, particularly in terms of the provisioning of high-speed communications and the management of wireless interference. Resource sharing between different entities, largely incompatible in conventional systems due to the lack of interconnections, becomes a necessity. By connecting all the base stations from different tiers to a central processor (referred to as the cloud) through wire/wireline backhaul links, the heterogeneous cloud radio access network, H-CRAN, provides an open, simple, controllable, and flexible paradigm for resource allocation. This article discusses challenges and recent developments in H-CRAN design. It proposes promising resource allocation schemes in H-CRAN: coordinated scheduling, hybrid backhauling, and multicloud association. Simulations results show how the proposed strategies provide appreciable performance improvement compared to methods from recent literature. © 2015 IEEE.

  1. Females Paired with New and Heavy Mates Reduce Intra-Clutch Differences in Resource Allocation

    Poisbleau, Maud; Dehnhard, Nina; Demongin, Laurent; Parenteau, Charline; Quillfeldt, Petra; Eens, Marcel


    Reproductive investment affects both offspring and parental fitness and influences the evolution of life histories. Females may vary their overall primary reproductive effort in relation to the phenotypic characteristics of their mate. However, the effects of male quality on differential resource allocation within clutches have been largely neglected despite the potential implications for mate choice and population dynamics, especially in species exhibiting biparental care and brood reduction. Female southern rockhopper penguins Eudyptes chrysocome paired with heavy mates reduced intra-clutch variation in egg and albumen masses. Females paired with new mates also reduced intra-clutch variation in yolk androgen levels. Since both an increased mass and increased androgen concentrations positively influence chick survival under sibling competition, the chances of fledging the whole clutch are likely to be higher for newly formed pairs with heavy males than for previously formed pairs with light males. Interestingly, total clutch provisioning did not vary with male quality. We show for the first time that females vary intra-clutch variation in resource allocation according to male quality. In species with brood reduction, it may be more adaptive for females to modulate the distribution of resources within the clutch according to breeding conditions, than to change their total clutch provisioning. PMID:23967280

  2. Feedback-Based Resource Allocation in MapReduce-Based Systems

    Bunjamin Memishi


    Full Text Available Containers are considered an optimized fine-grain alternative to virtual machines in cloud-based systems. Some of the approaches which have adopted the use of containers are the MapReduce frameworks. This paper makes an analysis of the use of containers in MapReduce-based systems, concluding that the resource utilization of these systems in terms of containers is suboptimal. In order to solve this, the paper describes AdaptCont, a proposal for optimizing the containers allocation in MapReduce systems. AdaptCont is based on the foundations of feedback systems. Two different selection approaches, Dynamic AdaptCont and Pool AdaptCont, are defined. Whereas Dynamic AdaptCont calculates the exact amount of resources per each container, Pool AdaptCont chooses a predefined container from a pool of available configurations. AdaptCont is evaluated for a particular case, the application master container of Hadoop YARN. As we can see in the evaluation, AdaptCont behaves much better than the default resource allocation mechanism of Hadoop YARN.

  3. Targeted versus universal prevention. a resource allocation model to prioritize cardiovascular prevention

    Hoogenveen Rudolf T


    Full Text Available Abstract Background Diabetes mellitus brings an increased risk for cardiovascular complications and patients profit from prevention. This prevention also suits the general population. The question arises what is a better strategy: target the general population or diabetes patients. Methods A mathematical programming model was developed to calculate optimal allocations for the Dutch population of the following interventions: smoking cessation support, diet and exercise to reduce overweight, statins, and medication to reduce blood pressure. Outcomes were total lifetime health care costs and QALYs. Budget sizes were varied and the division of resources between the general population and diabetes patients was assessed. Results Full implementation of all interventions resulted in a gain of 560,000 QALY at a cost of €640 per capita, about €12,900 per QALY on average. The large majority of these QALY gains could be obtained at incremental costs below €20,000 per QALY. Low or high budgets (below €9 or above €100 per capita were predominantly spent in the general population. Moderate budgets were mostly spent in diabetes patients. Conclusions Major health gains can be realized efficiently by offering prevention to both the general and the diabetic population. However, a priori setting a specific distribution of resources is suboptimal. Resource allocation models allow accounting for capacity constraints and program size in addition to efficiency.

  4. Resource allocation in an annual herb: Effects of light, mycorrhizal fungi, and defoliation

    Aguilar-Chama, Ana; Guevara, Roger


    Concurrent interactions and the availability of resources (e.g., light) affect the cost/benefit balance during mutualistic and antagonistic interactions, as well as plant resource allocation patterns. Mycorrhizal interactions and herbivory concur in most plants, where mycorrhizae can enhance the uptake of soil nutrients by plants as well as consuming a large fraction of the plant's carbon, and defoliation usually reduces light interception and photosynthesis, thereby causing direct losses to the hosts of mycorrhizal fungi. Both types of interactions affect the carbon budget of their host plants and thus we predict that the relative costs of herbivory and mycorrhizal colonization will increase when photosynthesis is reduced, for instance in light limited environments. We conducted a greenhouse experiment using Datura stramonium to investigate the effects of defoliation and mycorrhizal inoculation on the resource allocation patterns in two different light environments. Defoliated plants overcompensated in terms of leaf mass in both light environments, but total seed mass per fruit was negatively affected by defoliation in both light environments. Mycorrhizal inoculation had a positive effect on vegetative growth and the leaf nitrogen content, but defoliation negates the benefit of mycorrhizal interactions in terms of the leaf nitrogen content. In general, D. stramonium compensated for the relative costs of concurrent mycorrhizal interactions and defoliation; plants that lacked both interactions exhibited the same performance as plants with both types of interactions.

  5. An Architecture of IoT Service Delegation and Resource Allocation Based on Collaboration between Fog and Cloud Computing

    Aymen Abdullah Alsaffar


    Full Text Available Despite the wide utilization of cloud computing (e.g., services, applications, and resources, some of the services, applications, and smart devices are not able to fully benefit from this attractive cloud computing paradigm due to the following issues: (1 smart devices might be lacking in their capacity (e.g., processing, memory, storage, battery, and resource allocation, (2 they might be lacking in their network resources, and (3 the high network latency to centralized server in cloud might not be efficient for delay-sensitive application, services, and resource allocations requests. Fog computing is promising paradigm that can extend cloud resources to edge of network, solving the abovementioned issue. As a result, in this work, we propose an architecture of IoT service delegation and resource allocation based on collaboration between fog and cloud computing. We provide new algorithm that is decision rules of linearized decision tree based on three conditions (services size, completion time, and VMs capacity for managing and delegating user request in order to balance workload. Moreover, we propose algorithm to allocate resources to meet service level agreement (SLA and quality of services (QoS as well as optimizing big data distribution in fog and cloud computing. Our simulation result shows that our proposed approach can efficiently balance workload, improve resource allocation efficiently, optimize big data distribution, and show better performance than other existing methods.

  6. Sustainability in Health care by Allocating Resources Effectively (SHARE) 5: developing a model for evidence-driven resource allocation in a local healthcare setting.

    Harris, Claire; Allen, Kelly; Waller, Cara; Green, Sally; King, Richard; Ramsey, Wayne; Kelly, Cate; Thiagarajan, Malar


    This is the fifth in a series of papers reporting Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. This paper synthesises the findings from Phase One of the SHARE Program and presents a model to be implemented and evaluated in Phase Two. Monash Health, a large healthcare network in Melbourne Australia, sought to establish an organisation-wide systematic evidence-based program for disinvestment. In the absence of guidance from the literature, the Centre for Clinical Effectiveness, an in-house 'Evidence Based Practice Support Unit', was asked to explore concepts and practices related to disinvestment, consider the implications for a local health service and identify potential settings and methods for decision-making. Mixed methods were used to capture the relevant information. These included literature reviews; online questionnaire, interviews and structured workshops with a range of stakeholders; and consultation with experts in disinvestment, health economics and health program evaluation. Using the principles of evidence-based change, the project team worked with health service staff, consumers and external experts to synthesise the findings from published literature and local research and develop proposals, frameworks and plans. Multiple influencing factors were extracted from these findings. The implications were both positive and negative and addressed aspects of the internal and external environments, human factors, empirical decision-making, and practical applications. These factors were considered in establishment of the new program; decisions reached through consultation with stakeholders were used to define four program components, their aims and objectives, relationships between components, principles that underpin the program, implementation and evaluation plans, and preconditions for success and sustainability. The components were Systems and processes, Disinvestment projects, Support services, and

  7. Performance Comparison for Resource Allocation Schemes using Cost Information in Cloud

    Takahiro KOITA


    Full Text Available A wide variety of different types of virtual computer are available in cloud computing, each with different usage costs for processing performance and time. Consequently, similar processing tasks canincur different processing times and processing costs depending on the choice of method used to accomplish them. Since the amounts of time and money that can be spent on processing are not infinite, theprocessing time and usage costs must be reduced as much as possible. In this study, we investigate the allocation of resources in a cloud computing environment with the aim of achieving lower processingtimes and usage costs.

  8. Resource CoAllocation for Scheduling Tasks with Dependencies, in Grid

    Moise, Diana; Pop, Florin; Cristea, Valentin


    Scheduling applications on wide-area distributed systems is useful for obtaining quick and reliable results in an efficient manner. Optimized scheduling algorithms are fundamentally important in order to achieve optimized resources utilization. The existing and potential applications include many fields of activity like satellite image processing and medicine. The paper proposes a scheduling algorithm for tasks with dependencies in Grid environments. CoAllocation represents a strategy that provides a schedule for task with dependencies, having as main purpose the efficiency of the schedule, in terms of load balancing and minimum time for the execution of the tasks.

  9. A novel algorithm of channel resource allocation in wide-band WLAN


    With the development of Wide-band wireless communications.MAC protocol in IEEE 802.11 call't satisfy user-individual quality of service(QoS)guarantees effectively and can't support hish-speed mobility.A novel algorithm for channel allocation in Wide-band WLAN and an improved resource reservation mechanism aDplied into IEEE 802.11 MAC protocol are proposed in this article.The simulated results indicate that the advanced protocol makes the system throughput improved and delay decrease.Moreover,the improved system shows an excellent performance in the environment with high-speed mobility.

  10. Resource Allocation Support System (RASS): Summary report of the 1992 pilot study

    Buehring, W.A.; Whitfield, R.G.; Wolsko, T.D.; Kier, P.H.; Absil, M.J.G.; Jusko, M.J.; Sapinski, P.F.


    The Resource Allocation Support System (RASS) is a decision-aiding system being developed to assist the US Department of Energy`s (DOE`s) Office of Waste Management in program and budget decision making. Four pilot studies were conducted at DOE field offices in summer 1992 to evaluate and improve the RASS design. This report summarizes the combined results of the individual field office pilot studies. Results are presented from different perspectives to illustrate the type of information that would be available from RASS. Lessons learned and directions for future RASS developments are also presented.

  11. Cost allocation model for distribution networks considering high penetration of distributed energy resources

    Soares, Tiago; Pereira, Fábio; Morais, Hugo;


    , losses, and congestion costs) is proposed comprising the use of a large set of DER, namely distributed generation (DG), demand response (DR) of direct load control type, energy storage systems (ESS), and electric vehicles with capability of discharging energy to the network, which is known as vehicle......The high penetration of distributed energy resources (DER) in distribution networks and the competitive environment of electricity markets impose the use of new approaches in several domains. The network cost allocation, traditionally used in transmission networks, should be adapted and used...

  12. Application of portfolio theory to risk-based allocation of surveillance resources in animal populations.

    Prattley, D J; Morris, R S; Stevenson, M A; Thornton, R


    Distribution of finite levels of resources between multiple competing tasks can be a challenging problem. Resources need to be distributed across time periods and geographic locations to increase the probability of detection of a disease incursion or significant change in disease pattern. Efforts should focus primarily on areas and populations where risk factors for a given disease reach relatively high levels. In order to target resources into these areas, the overall risk level can be evaluated periodically across locations to create a dynamic national risk landscape. Methods are described to integrate the levels of various risk factors into an overall risk score for each area, to account for the certainty or variability around those measures and then to allocate surveillance resources across this risk landscape. In addition to targeting resources into high risk areas, surveillance continues in lower risk areas where there is a small yet positive chance of disease occurrence. In this paper we describe the application of portfolio theory concepts, routinely used in finance, to design surveillance portfolios for a series of examples. The appropriate level of resource investment is chosen for each disease or geographical area and time period given the degree of disease risk and uncertainty present.

  13. Economic analysis of HIV prevention interventions in Andhra Pradesh state of India to inform resource allocation.

    Dandona, Lalit; Kumar, S G Prem; Kumar, G Anil; Dandona, Rakhi


    To conduct composite economic analysis of HIV prevention interventions to inform efficient utilization of resources in India. We obtained output and economic cost data for the 2005-2006 fiscal year from a representative sample of 128 public-funded HIV prevention programmes of 14 types in Andhra Pradesh state of India. Using data from various sources, we developed a model to estimate the number of HIV infections averted. We estimated the additional HIV infections that could be averted if each intervention reached optimal coverage and the associated cost. In a year, 9688 HIV infections were averted by public-funded HIV prevention interventions in Andhra Pradesh. Scaling-up interventions to the optimal level would require US$38.8 million annually, 2.8 times the US$13.8 million economic cost in 2005-2006. This could increase the number of HIV infections averted by 2.4-fold, if with higher resources there were many-fold increases in the proportional allocation for programmes for migrant labourers, men who have sex with men and voluntary counselling and testing, and reduction of the high proportion for mass media campaigns to one-third of the 2005-2006 proportion of resource utilization. If the proportions of resource allocation for interventions remained similar to 2005-2006, the higher resources would avert 54% of the additional avertable HIV infections. The recent four-fold increase in public funding for HIV/AIDS control in India should be adequate to scale-up HIV prevention interventions to an optimal level in Andhra Pradesh, but the prevention would be suboptimal if additional investments were not preferentially directed to some particular interventions.

  14. Method for optimizing resource allocation in a government organization. Ph.D. Thesis

    Afarin, James


    The managers in Federal agencies are challenged to control the extensive activities in government and still provide high-quality products and services to the American taxpayers. Considering today's complex social and economic environment and the $3.8 billion daily cost of operating the Federal Government, it is evident that there is a need to develop decision-making tools for accurate resource allocation and total quality management. The goal of this thesis is to provide a methodical process that will aid managers in Federal Government to make budgetary decisions based on the cost of services, the agency's objectives, and the customers' perception of the agency's product. A general resource allocation procedure was developed in this study that can be applied to any government organization. A government organization, hereafter the 'organization,' is assumed to be a multidivision enterprise. This procedure was applied to a small organization for the proof of the concept. This organization is the Technical Services Directorate (TSD) at the NASA Lewis Research Center in Cleveland, Ohio. As part of the procedure, a nonlinear programming model was developed to account for the resources of the organization, the outputs produced by the organization, the decision-maker's views, and the customers' satisfaction with the organization. The information on the resources of the organization was acquired from current budget levels of the organization and the human resources assigned to the divisions. The outputs of the organization were defined and measured by identifying metrics that assess the outputs, the most challenging task in this study. The decision-maker's views are represented in the model as weights assigned to the various outputs and were quantified by using the analytic hierarchy process. The customer's opinions regarding the outputs of the organization were collected through questionnaires that were designed for each division individually. Following the philosophy of

  15. Resource allocation with CCI suppression for multiuser MIMO-OFDM downlink in correlated channels

    Zhang Chengwen; Zhang Zhongzhao; Ma Yongkui


    To minimize the overall transmit power while maintaining a constant data rate and target BER,a downlink adaptive resource allocation algorithm with jointing the exclusive manner and the shared manner is proposed for multiuser MIMO-OFDM system in correlated channels. The algorithm allocates all the subcarriers to different users according to their spatial correlations. The users with high spatial correlation are allocated in the same group and the exclusive manner is applied. The shared manner with an improved null broadening method,which improves the performance of co-channel interference (CCI) suppression and decreases the number of transmit antennas required, is applied between the different group users. As the user's direction of departure (DOD) changes very slowly, a looking up table method is used to reduce the computational complexity. The simulation results show that despite the angle spread of DOD, when compared with the exclusive manner, the proposed algorithm improves the spectral efficiency, and when compared with the TDMA-ZF (zero forcing) shared manner, the proposed algorithm decreases the total transmit power by at least 1 dB.

  16. The evolution of optimal resource allocation and mating systems in hermaphroditic perennial plants

    Wang, Ya-Qiang; Li, Yao-Tang; Wang, Rui-Wu


    By incorporating the effects of inbreeding depression (ID) on both juveniles and adults survivorship, we developed a new theoretical model for hermaphroditic perennial plants. Our model showed that the effect of the selfing rate on the evolutionarily stable strategy (ESS) reproductive allocation depends on three parameters: (1) the self-fertilized juvenile relative survivorship (SFJRS), (2) the self-fertilized adult relative survivorship (SFARS) and (3) the growth rate of self-fertilized adult, where the SFJRS is the survivorship of self-fertilized juveniles divided by the survivorship of outcrossed juveniles, and likewise for the SFARS. However, the ESS sex allocation decreases as the selfing rate increases. This relationship seems independent of the SFJRS, the SFARS, and the growth rate of self-fertilized adults. Additionally, our model showed that the complete outcrossing is an ESS when the fraction of juvenile inbreeding depression (FJID) is less than 1/2 − τ, where τ is the self-fertilized adults mortality rate caused by ID. In contrast, the complete selfing also acts as an ESS when the FJID is greater than 1/2 − τ. These results could explain the diversity of mating strategies and related resource allocations for plants. PMID:27681446

  17. The dynamics of resource allocation and costs of reproduction in a sexually dimorphic, wind-pollinated dioecious plant.

    Teitel, Z; Pickup, M; Field, D L; Barrett, S C H


    Sexual dimorphism in resource allocation is expected to change during the life cycle of dioecious plants because of temporal differences between the sexes in reproductive investment. Given the potential for sex-specific differences in reproductive costs, resource availability may contribute to variation in reproductive allocation in females and males. Here, we used Rumex hastatulus, a dioecious, wind-pollinated annual plant, to investigate whether sexual dimorphism varies with life-history stage and nutrient availability, and determine whether allocation patterns differ depending on reproductive commitment. To examine if the costs of reproduction varied between the sexes, reproduction was either allowed or prevented through bud removal, and biomass allocation was measured at maturity. In a second experiment to assess variation in sexual dimorphism across the life cycle, and whether this varied with resource availability, plants were grown in high and low nutrients and allocation to roots, aboveground vegetative growth and reproduction were measured at three developmental stages. Males prevented from reproducing compensated with increased above- and belowground allocation to a much larger degree than females, suggesting that male reproductive costs reduce vegetative growth. The proportional allocation to roots, reproductive structures and aboveground vegetative growth varied between the sexes and among life-cycle stages, but not with nutrient treatment. Females allocated proportionally more resources to roots than males at peak flowering, but this pattern was reversed at reproductive maturity under low-nutrient conditions. Our study illustrates the importance of temporal dynamics in sex-specific resource allocation and provides support for high male reproductive costs in wind-pollinated plants.

  18. Risk-based decision making for staggered bioterrorist attacks : resource allocation and risk reduction in "reload" scenarios.

    Lemaster, Michelle Nicole; Gay, David M. (Sandia National Laboratories, Albuquerque, NM); Ehlen, Mark Andrew (Sandia National Laboratories, Albuquerque, NM); Boggs, Paul T.; Ray, Jaideep


    Staggered bioterrorist attacks with aerosolized pathogens on population centers present a formidable challenge to resource allocation and response planning. The response and planning will commence immediately after the detection of the first attack and with no or little information of the second attack. In this report, we outline a method by which resource allocation may be performed. It involves probabilistic reconstruction of the bioterrorist attack from partial observations of the outbreak, followed by an optimization-under-uncertainty approach to perform resource allocations. We consider both single-site and time-staggered multi-site attacks (i.e., a reload scenario) under conditions when resources (personnel and equipment which are difficult to gather and transport) are insufficient. Both communicable (plague) and non-communicable diseases (anthrax) are addressed, and we also consider cases when the data, the time-series of people reporting with symptoms, are confounded with a reporting delay. We demonstrate how our approach develops allocations profiles that have the potential to reduce the probability of an extremely adverse outcome in exchange for a more certain, but less adverse outcome. We explore the effect of placing limits on daily allocations. Further, since our method is data-driven, the resource allocation progressively improves as more data becomes available.

  19. Invited review: resource allocation mismatch as pathway to disproportionate growth in farm animals - prerequisite for a disturbed health.

    Huber, K


    The availability of resources including energy, nutrients and (developmental) time has a crucial impact on productivity of farm animals. Availability of energy and nutrients depends on voluntary feed intake and intestinal digestive and absorptive capacity at optimal feeding conditions. Availability of time is provided by the management in animal production. According to the resource allocation theory, resources have to be allocated between maintenance, ontogenic growth, production and reproduction during lifetime. Priorities for these processes are mainly determined by the genetic background, the rearing system and the feeding regimen. Aim of this review was to re-discuss the impact of a proper resource allocation for a long and healthy life span in farm animals. Using the barrel model of resource allocation, resource fluxes were explained and were implemented to specific productive life conditions of different farm animal species, dairy cows, sows and poultry. Hypothetically, resource allocation mismatch neglecting maintenance is a central process, which might be associated with morphological constraints of extracellular matrix components; evidence for that was found in the literature. A potential consequence of this limitation is a phenomenon called disproportionate growth, which counteracts the genetically determined scaling rules for body and organ proportions and could have a strong impact on farm animal health and production.

  20. Developing a new method for modifying over-allocated multi-mode resource constraint schedules in the presence of preemptive resources

    Aidin Delgoshaei


    Full Text Available The issue of resource over-allocating is a big concern for project engineers in the process of scheduling project activities. Resource over-allocating is frequently seen after initial scheduling of a project in practice and causes significant amount of efforts to modify the initial schedules. In this research, a new method is developed for modifying over-allocated schedules in a multi-mode resource constrained project scheduling problems (MRCPSPs with positive cash flows (MRCPSP-PCF. The aim is to maximize profit of the MRCPSPs or logically minimizing costs. The proposed method can be used as a macro in Microsoft Office Project® Software to modify resource over-allocated days after scheduling a project. This research considers progress payment method and preemptive resources. The proposed approach maximizes profit by scheduling activities through the resource calendar respecting to the available level of preemptive resources and activity numbers. To examine the performance of the proposed method a number of experiments derived from the literature are solved. The results are then compared with the circumstances where resource constraints are relaxed. The outcomes show that in all studied cases, the proposed algorithm can provide modified schedules with no over-allocated days. Afterward the method is applied to modify a manufacturing project in practice.

  1. Develop feedback system for intelligent dynamic resource allocation to improve application performance.

    Gentile, Ann C.; Brandt, James M.; Tucker, Thomas (Open Grid Computing, Inc., Austin, TX); Thompson, David


    This report provides documentation for the completion of the Sandia Level II milestone 'Develop feedback system for intelligent dynamic resource allocation to improve application performance'. This milestone demonstrates the use of a scalable data collection analysis and feedback system that enables insight into how an application is utilizing the hardware resources of a high performance computing (HPC) platform in a lightweight fashion. Further we demonstrate utilizing the same mechanisms used for transporting data for remote analysis and visualization to provide low latency run-time feedback to applications. The ultimate goal of this body of work is performance optimization in the face of the ever increasing size and complexity of HPC systems.

  2. Game theoretic wireless resource allocation for H.264 MGS video transmission over cognitive radio networks

    Fragkoulis, Alexandros; Kondi, Lisimachos P.; Parsopoulos, Konstantinos E.


    We propose a method for the fair and efficient allocation of wireless resources over a cognitive radio system network to transmit multiple scalable video streams to multiple users. The method exploits the dynamic architecture of the Scalable Video Coding extension of the H.264 standard, along with the diversity that OFDMA networks provide. We use a game-theoretic Nash Bargaining Solution (NBS) framework to ensure that each user receives the minimum video quality requirements, while maintaining fairness over the cognitive radio system. An optimization problem is formulated, where the objective is the maximization of the Nash product while minimizing the waste of resources. The problem is solved by using a Swarm Intelligence optimizer, namely Particle Swarm Optimization. Due to the high dimensionality of the problem, we also introduce a dimension-reduction technique. Our experimental results demonstrate the fairness imposed by the employed NBS framework.

  3. Fair Resource Allocation in Networks with Coexisting Unicast and Multirate Multicast Flows

    Dong Qian(董谦); Xie Jianying; Liu Fengqing; Zhu Xu


    To maximize the aggregate user utility in networks with both multirate multicast and unicast traffic, a unified convex program formulation of the problem is used to integrate multicast and unicast sessions into a common framework, which also takes into account the heterogeneity of multicast receivers. By applying a penalty function approach, a heuristic rate control algorithm is derived. In the distributed implementation of the algorithm in IP networks, core routers employ Random Early Detection (RED) to mark packets in the case of congestion; end-users analyze congestion feedback information and update their rates to calculated optimal values. With an appropriate choice of utility functions and parameters, multicast and unicast sessions can share network resources in the proportional fair manner. Simulation results prove the algorithm's effectiveness. Study is also done on the effect of bandwidth discretization density upon resource allocation fairness in a layered multicast scenario.

  4. Integrated Yard Space Allocation and Yard Crane Deployment Problem in Resource-Limited Container Terminals

    Caimao Tan


    Full Text Available Yard storage space and yard crane equipment are the core resources in the container terminal yard area. This paper studies the integrated yard space allocation (outbound container space and yard crane deployment problem in resource-limited container terminals where yard space and yard cranes are extremely scarce. Two corresponding counterstrategies are introduced, respectively, and the integrated problem is solved as mixed integer programming. The model this paper formulated considers the container volume fluctuation of the service line, and the objective is a trade-off between yard sharing space and terminal operation cost. In numerical experiments, this paper tries to reveal the management meaning in practical operation of container terminal and provides decision support for terminal managers; therefore a series of scenarios are presented to analyze the relations among the yard sharing space, the number of yard cranes, the size of yard subblock, and the cost of terminal operation.

  5. User Utility Oriented Queuing Model for Resource Allocation in Cloud Environment

    Zhe Zhang


    Full Text Available Resource allocation is one of the most important research topics in servers. In the cloud environment, there are massive hardware resources of different kinds, and many kinds of services are usually run on virtual machines of the cloud server. In addition, cloud environment is commercialized, and economical factor should also be considered. In order to deal with commercialization and virtualization of cloud environment, we proposed a user utility oriented queuing model for task scheduling. Firstly, we modeled task scheduling in cloud environment as an M/M/1 queuing system. Secondly, we classified the utility into time utility and cost utility and built a linear programming model to maximize total utility for both of them. Finally, we proposed a utility oriented algorithm to maximize the total utility. Massive experiments validate the effectiveness of our proposed model.

  6. Statistical mechanics of competitive resource allocation using agent-based models

    Chakraborti, Anirban; Challet, Damien; Chatterjee, Arnab; Marsili, Matteo; Zhang, Yi-Cheng; Chakrabarti, Bikas K.


    Demand outstrips available resources in most situations, which gives rise to competition, interaction and learning. In this article, we review a broad spectrum of multi-agent models of competition (El Farol Bar problem, Minority Game, Kolkata Paise Restaurant problem, Stable marriage problem, Parking space problem and others) and the methods used to understand them analytically. We emphasize the power of concepts and tools from statistical mechanics to understand and explain fully collective phenomena such as phase transitions and long memory, and the mapping between agent heterogeneity and physical disorder. As these methods can be applied to any large-scale model of competitive resource allocation made up of heterogeneous adaptive agent with non-linear interaction, they provide a prospective unifying paradigm for many scientific disciplines.

  7. A Safety Resource Allocation Mechanism against Connection Fault for Vehicular Cloud Computing

    Tianpeng Ye


    Full Text Available The Intelligent Transportation System (ITS becomes an important component of the smart city toward safer roads, better traffic control, and on-demand service by utilizing and processing the information collected from sensors of vehicles and road side infrastructure. In ITS, Vehicular Cloud Computing (VCC is a novel technology balancing the requirement of complex services and the limited capability of on-board computers. However, the behaviors of the vehicles in VCC are dynamic, random, and complex. Thus, one of the key safety issues is the frequent disconnections between the vehicle and the Vehicular Cloud (VC when this vehicle is computing for a service. More important, the connection fault will disturb seriously the normal services of VCC and impact the safety works of the transportation. In this paper, a safety resource allocation mechanism is proposed against connection fault in VCC by using a modified workflow with prediction capability. We firstly propose the probability model for the vehicle movement which satisfies the high dynamics and real-time requirements of VCC. And then we propose a Prediction-based Reliability Maximization Algorithm (PRMA to realize the safety resource allocation for VCC. The evaluation shows that our mechanism can improve the reliability and guarantee the real-time performance of the VCC.

  8. Primary user localisation and uplink resource allocation in orthogonal frequency division multiple access cognitive radio systems

    Nam, Haewoon


    In cognitive radio networks, secondary users (SUs) can share spectrum with primary users (PUs) under the condition that no interference is caused to the PUs. To evaluate the interference imposed to the PUs, the cognitive systems discussed in the literature usually assume that the channel state information (CSI) of the link from a secondary transmitter to a primary receiver (interference link) is known at the secondary transmitter. However, this assumption may often be impractical in cognitive radio systems, since the PUs need to be oblivious to the presence of the SUs. The authors first discuss PU localisation and then introduce an uplink resource allocation algorithm for orthogonal frequency division multiple access-based cognitive radio systems, where relative location information between primary and SUs is used instead of CSI of the interference link to estimate the interference. Numerical and simulation results show that it is indeed effective to use location information as a part of resource allocation and thus a near-optimal capacity is achieved. © The Institution of Engineering and Technology 2015.

  9. Application of resource allocation models to the problems of regional energy policy in large developing coutries

    Meier, P.M.; Mubayi, V.


    The interregional allocation of, and competition for, natural resources for energy development is assuming increasing importance in many large developing countries, particularly in countries such as India that are in the more advanced stages of industrialization, and where state governments and regional agencies have significant planning powers. This paper explores the applicability of optimal resource allocation models designed primarily for already-developed economies, such as that of the U.S., Canada, and Western Europe, to the emerging problems of such developing countries. In particular, the potential application of electric-utility-siting models is discussed in the context of electric grid expansion in the State of Andhra Pradesh in Southern India. Specific topics addressed include the degree to which models can be effectively used in the rather different conditions and priorities of industrializing countries; the requirements for basic-model reformulations to account for unique factors of geography (climate, hyydrology, the extant conditions of the infrastructure within which any development must occur); and the ability to include and quantify environmental impacts of energy deveelopment as well as policy considerations relevant in the context of developing countries. The paper identifies desirable research directions, indicates data needs, and assesses those aspects of subnational energy-planning problems that should receive better emphasis in national and international energy-plannng efforts.

  10. The role of placental nutrient sensing in maternal-fetal resource allocation.

    Díaz, Paula; Powell, Theresa L; Jansson, Thomas


    The placenta mediates maternal-fetal exchange and has historically been regarded as a passive conduit for nutrients. However, emerging evidence suggests that the placenta actively responds to nutritional and metabolic signals from the mother and the fetus. We propose that the placenta integrates a multitude of maternal and fetal nutritional cues with information from intrinsic nutrient-sensing signaling pathways to match fetal demand with maternal supply by regulating maternal physiology, placental growth, and nutrient transport. This process, which we have called placental nutrient sensing, ensures optimal allocation of resources between the mother and the fetus to maximize the chances for propagation of parental genes without jeopardizing maternal health. We suggest that these mechanisms have evolved because of the evolutionary pressures of maternal undernutrition, which result in decreased placental growth and down-regulation of nutrient transporters, thereby limiting fetal growth to ensure maternal survival. These regulatory loops may also function in response to maternal overnutrition, leading to increased placental growth and nutrient transport in cases of maternal obesity or gestational diabetes. Thus, placental nutrient sensing modulates maternal-fetal resource allocation to increase the likelihood of reproductive success. This model implies that the placenta plays a critical role in mediating fetal programming and determining lifelong health.

  11. The Role of Placental Nutrient Sensing in Maternal-Fetal Resource Allocation1

    Díaz, Paula; Powell, Theresa L.; Jansson, Thomas


    ABSTRACT The placenta mediates maternal-fetal exchange and has historically been regarded as a passive conduit for nutrients. However, emerging evidence suggests that the placenta actively responds to nutritional and metabolic signals from the mother and the fetus. We propose that the placenta integrates a multitude of maternal and fetal nutritional cues with information from intrinsic nutrient-sensing signaling pathways to match fetal demand with maternal supply by regulating maternal physiology, placental growth, and nutrient transport. This process, which we have called placental nutrient sensing, ensures optimal allocation of resources between the mother and the fetus to maximize the chances for propagation of parental genes without jeopardizing maternal health. We suggest that these mechanisms have evolved because of the evolutionary pressures of maternal undernutrition, which result in decreased placental growth and down-regulation of nutrient transporters, thereby limiting fetal growth to ensure maternal survival. These regulatory loops may also function in response to maternal overnutrition, leading to increased placental growth and nutrient transport in cases of maternal obesity or gestational diabetes. Thus, placental nutrient sensing modulates maternal-fetal resource allocation to increase the likelihood of reproductive success. This model implies that the placenta plays a critical role in mediating fetal programming and determining lifelong health. PMID:25122064

  12. Sum Rate Maximized Resource Allocation in Multiple DF Relays Aided OFDM Transmission

    Wang, Tao


    In relay-aided wireless transmission systems, one of the key issues is how to decide assisting relays and manage the energy resource at the source and each individual relay, to maximize a certain objective related to system performance. This paper addresses the sum rate maximized resource allocation (RA) problem in a point to point orthogonal frequency division modulation (OFDM) transmission system assisted by multiple decode-and-forward (DF) relays, subject to the individual sum power constraints of the source and the relays. In particular, the transmission at each subcarrier can be in either the direct mode without any relay assisting, or the relay-aided mode with one or several relays assisting. We propose two RA algorithms which optimize the assignment of transmission mode and source power for every subcarrier, as well as the assisting relays and the power allocation to them for every {relay-aided} subcarrier. First, it is shown that the considered RA problem has zero Lagrangian duality gap when there is ...

  13. Perceptions and attitudes of health professionals in kenya on national health care resource allocation mechanisms: a structural equation modeling.

    Patrick Opiyo Owili

    Full Text Available Health care resource allocation is key towards attaining equity in the health system. However, health professionals' perceived impact and attitude towards health care resource allocation in Sub-Saharan Africa is unknown; furthermore, they occupy a position which makes them notice the impact of different policies in their health system. This study explored perceptions and attitudes of health professionals in Kenya on health care resource allocation mechanism.We conducted a survey of a representative sample of 341 health professionals in Moi Teaching and Referral Hospital from February to April 2012, consisting of over 3000 employees. We assessed health professionals' perceived impact and attitudes on health care resource allocation mechanism in Kenya. We used structural equation modeling and applied a Confirmatory Factor Analysis using Robust Maximum Likelihood estimation procedure to test the hypothesized model.We found that the allocation mechanism was negatively associated with their perceived positive impact (-1.04, p < .001, health professionals' satisfaction (-0.24, p < .01, and professionals' attitudes (-1.55, p < .001 while it was positively associated with perceived negative impact (1.14, p < .001. Perceived positive impact of the allocation mechanism was negatively associated with their overall satisfaction (-0.08 and attitude (-0.98 at p < .001, respectively. Furthermore, overall satisfaction was negatively associated with attitude (-1.10, p <.001. On the other hand, perceived negative impact of the allocation was positively associated with overall satisfaction (0.29, p <.001 but was not associated with attitude.The result suggests that health care resource allocation mechanism has a negative effect towards perceptions, attitudes and overall satisfaction of health professionals who are at the frontline in health care. These findings can serve as a crucial reference for policymakers as the Kenyan health system move towards devolving the

  14. An Examination of Resource Allocation Strategies and Finance Adequacy: Case Studies of American Samoa Department of Education Secondary Schools

    Nikolao-Mutini, Akenese Epifania


    The purpose of this study was to analyze American Samoa Department of Education (ASDE) and collect allocation of resources data and determine how the resources are used to increase student performance among a purposeful sample of three public high schools with similar demographics, challenges, fiscal constraints and funding sources located in the…

  15. Educational Resource Allocation at the Elementary Level: A Case Study of One Elementary School District in California

    Nguyen, Dominic


    The purpose of this study was to examine the dispersion of human capital resources within one school district in southern California and compare the use of personnel at each school to the desired allocation informed by the district's strategies and staffing formula. The district's resource distribution was also compared to that of the Evidence…

  16. Personnel Resource Allocation Strategies in a Time of Fiscal Stress: A Gap Analysis of Five Southern California Elementary Schools

    Araya, Saba Q.


    As pressure increases to ensure that limited resources are utilized as effectively as possible, funding adequacy remains a priority for all California public schools. The research was conducted through a multi-methods approach of principal interviews, site level resource allocation data, and overall student achievement on state assessments. The…

  17. Informing the gestalt: an ethical framework for allocating scarce federal public health and medical resources to states during disasters.

    Knebel, Ann R; Sharpe, Virginia A; Danis, Marion; Toomey, Lauren M; Knickerbocker, Deborah K


    During catastrophic disasters, government leaders must decide how to efficiently and effectively allocate scarce public health and medical resources. The literature about triage decision making at the individual patient level is substantial, and the National Response Framework provides guidance about the distribution of responsibilities between federal and state governments. However, little has been written about the decision-making process of federal leaders in disaster situations when resources are not sufficient to meet the needs of several states simultaneously. We offer an ethical framework and logic model for decision making in such circumstances. We adapted medical triage and the federalism principle to the decision-making process for allocating scarce federal public health and medical resources. We believe that the logic model provides a values-based framework that can inform the gestalt during the iterative decision process used by federal leaders as they allocate scarce resources to states during catastrophic disasters.

  18. ANCS: Achieving QoS through Dynamic Allocation of Network Resources in Virtualized Clouds

    Cheol-Ho Hong


    Full Text Available To meet the various requirements of cloud computing users, research on guaranteeing Quality of Service (QoS is gaining widespread attention in the field of cloud computing. However, as cloud computing platforms adopt virtualization as an enabling technology, it becomes challenging to distribute system resources to each user according to the diverse requirements. Although ample research has been conducted in order to meet QoS requirements, the proposed solutions lack simultaneous support for multiple policies, degrade the aggregated throughput of network resources, and incur CPU overhead. In this paper, we propose a new mechanism, called ANCS (Advanced Network Credit Scheduler, to guarantee QoS through dynamic allocation of network resources in virtualization. To meet the various network demands of cloud users, ANCS aims to concurrently provide multiple performance policies; these include weight-based proportional sharing, minimum bandwidth reservation, and maximum bandwidth limitation. In addition, ANCS develops an efficient work-conserving scheduling method for maximizing network resource utilization. Finally, ANCS can achieve low CPU overhead via its lightweight design, which is important for practical deployment.

  19. Global modeling of withdrawal, allocation and consumptive use of surface water and groundwater resources

    Y. Wada


    Full Text Available To sustain growing food demand and increasing standard of living, global water withdrawal and consumptive water use have been increasing rapidly. To analyze the human perturbation on water resources consistently over a large scale, a number of macro-scale hydrological models (MHMs have been developed over the recent decades. However, few models consider the feedback between water availability and water demand, and even fewer models explicitly incorporate water allocation from surface water and groundwater resources. Here, we integrate a global water demand model into a global water balance model, and simulate water withdrawal and consumptive water use over the period 1979–2010, considering water allocation from surface water and groundwater resources and explicitly taking into account feedbacks between supply and demand, using two re-analysis products: ERA-Interim and MERRA. We implement an irrigation water scheme, which works dynamically with daily surface and soil water balance, and include a newly available extensive reservoir data set. Simulated surface water and groundwater withdrawal show generally good agreement with available reported national and sub-national statistics. The results show a consistent increase in both surface water and groundwater use worldwide, but groundwater use has been increasing more rapidly than surface water use since the 1990s. Human impacts on terrestrial water storage (TWS signals are evident, altering the seasonal and inter-annual variability. The alteration is particularly large over the heavily regulated basins such as the Colorado and the Columbia, and over the major irrigated basins such as the Mississippi, the Indus, and the Ganges. Including human water use generally improves the correlation of simulated TWS anomalies with those of the GRACE observations.

  20. Validation of ACG Case-mix for equitable resource allocation in Swedish primary health care

    Kronogård Maria


    Full Text Available Abstract Background Adequate resource allocation is an important factor to ensure equity in health care. Previous reimbursement models have been based on age, gender and socioeconomic factors. An explanatory model based on individual need of primary health care (PHC has not yet been used in Sweden to allocate resources. The aim of this study was to examine to what extent the ACG case-mix system could explain concurrent costs in Swedish PHC. Methods Diagnoses were obtained from electronic PHC records of inhabitants in Blekinge County (approx. 150,000 listed with public PHC (approx. 120,000 for three consecutive years, 2004-2006. The inhabitants were then classified into six different resource utilization bands (RUB using the ACG case-mix system. The mean costs for primary health care were calculated for each RUB and year. Using linear regression models and log-cost as dependent variable the adjusted R2 was calculated in the unadjusted model (gender and in consecutive models where age, listing with specific PHC and RUB were added. In an additional model the ACG groups were added. Results Gender, age and listing with specific PHC explained 14.48-14.88% of the variance in individual costs for PHC. By also adding information on level of co-morbidity, as measured by the ACG case-mix system, to specific PHC the adjusted R2 increased to 60.89-63.41%. Conclusion The ACG case-mix system explains patient costs in primary care to a high degree. Age and gender are important explanatory factors, but most of the variance in concurrent patient costs was explained by the ACG case-mix system.

  1. Channel Resource Allocation for VoIP Applications in Collaborative IEEE 802.11/802.16 Networks

    Foh ChuanHeng


    Full Text Available Collaborations between the IEEE 802.11 and the IEEE 802.16 networks operating in a common spectrum offers dynamic allocate bandwidth resources to achieve improved performance for network applications. This paper studies the bandwidth resource allocation of collaborative IEEE 802.11 and IEEE 802.16 networks. Consider delivering data packets between mobile stations and Internet users through an access point (AP of the IEEE 802.11 network and a base station (BS of the IEEE 802.16 network operating on a common frequency band, we analyze their medium access control (MAC protocols, frame structures, and design a cooperation mechanism for the IEEE 802.11 and the IEEE 802.16 networks to share the same medium with adaptive resource allocation. Based on the mechanism, an optimized resource allocation scheme is proposed for VoIP applications. An analytical model is developed for the study to show significant improvements in voice capacity for our optimized resource allocation scheme.

  2. Relay Selection and Resource Allocation in One-Way and Two-Way Cognitive Relay Networks

    Alsharoa, Ahmad M.


    In this work, the problem of relay selection and resource power allocation in one- way and two-way cognitive relay networks using half duplex channels with different relaying protocols is investigated. Optimization problems for both single and multiple relay selection that maximize the sum rate of the secondary network without degrading the quality of service of the primary network by respecting a tolerated interference threshold were formulated. Single relay selection and optimal power allocation for two-way relaying cognitive radio networks using decode-and-forward and amplify-and-forward protocols were studied. Dual decomposition and subgradient methods were used to find the optimal power allocation. The transmission process to exchange two different messages between two transceivers for two-way relaying technique takes place in two time slots. In the first slot, the transceivers transmit their signals simultaneously to the relay. Then, during the second slot the relay broadcasts its signal to the terminals. Moreover, improvement of both spectral and energy efficiency can be achieved compared with the one-way relaying technique. As an extension, a multiple relay selection for both one-way and two-way relaying under cognitive radio scenario using amplify-and-forward were discussed. A strong optimization tool based on genetic and iterative algorithms was employed to solve the 
formulated optimization problems for both single and multiple relay selection, where discrete relay power levels were considered. Simulation results show that the practical and low-complexity heuristic approaches achieve almost the same performance of the optimal relay selection schemes either with discrete or continuous power distributions while providing a considerable saving in terms of computational complexity.

  3. Distributed Space-Time Block Coded Transmission with Imperfect Channel Estimation: Achievable Rate and Power Allocation

    Sonia Aïssa


    Full Text Available This paper investigates the effects of channel estimation error at the receiver on the achievable rate of distributed space-time block coded transmission. We consider that multiple transmitters cooperate to send the signal to the receiver and derive lower and upper bounds on the mutual information of distributed space-time block codes (D-STBCs when the channel gains and channel estimation error variances pertaining to different transmitter-receiver links are unequal. Then, assessing the gap between these two bounds, we provide a limiting value that upper bounds the latter at any input transmit powers, and also show that the gap is minimum if the receiver can estimate the channels of different transmitters with the same accuracy. We further investigate positioning the receiving node such that the mutual information bounds of D-STBCs and their robustness to the variations of the subchannel gains are maximum, as long as the summation of these gains is constant. Furthermore, we derive the optimum power transmission strategy to achieve the outage capacity lower bound of D-STBCs under arbitrary numbers of transmit and receive antennas, and provide closed-form expressions for this capacity metric. Numerical simulations are conducted to corroborate our analysis and quantify the effects of imperfect channel estimation.

  4. Resource allocation based on genetic algorithm for multi-hop OFDM system with non-regenerative relaying

    SHI Jie; XU Wen-jun; HE Zhi-qiang; NIU Kai; WU Wei-ling


    This article investigates resource allocation in multi-hop orthogonal frequency division multiplexing (OFDM) system with amplifying-and-forwarding relaying to maximize the end-to-end capacity. Most existing methods for multi-hop system focus on power allocation or subcarrier selection separately, but joint resource allocation is rarely considered due to the absence of effective interaction schemes. In this work, a novel joint resource allocation methodology is proposed based on Partheno genetic algorithm (PGA), which produces excellent subcarrier allocation set (referred to as individual in PGA) with higher capacity by evolution operator generation by generation. In addition, an adaptive power allocation is also designed to evaluate the fitness of PGA and further enhance the system capacity. Both theoretical analysis and simulated results show the effectiveness of the proposed joint strategy. It outperforms the traditional method by as much as 40% capacity improvement for 3-hop relaying system when system power is high, and obtains much more capacity enhancement percent under conditions of low system power.

  5. Squeezing out the Cloud via Profit-Maximizing Resource Allocation Policies

    Mazzucco, Michele; Dumas, Marlon


    We study the problem of maximizing the average hourly profit earned by a Software-as-a-Service (SaaS) provider who runs a software service on behalf of a customer using servers rented from an Infrastructure-as-a-Service (IaaS) provider. The SaaS provider earns a fee per successful transaction and incurs costs proportional to the number of server-hours it uses. A number of resource allocation policies for this or similar problems have been proposed in previous work. However, to the best of our knowledge, these policies have not been comparatively evaluated in a cloud environment. This paper reports on an empirical evaluation of three policies using a replica of Wikipedia deployed on the Amazon EC2 cloud. Experimental results show that a policy based on a solution to an optimization problem derived from the SaaS provider's utility function outperforms well-known heuristics that have been proposed for similar problems. It is also shown that all three policies outperform a "reactive" allocation approach based on ...

  6. Low complexity resource allocation and scheduling algorithms for downlink SDMA systems

    SUN Kai; WANG Ying; ZHANG Ping


    The downlink zero-forcing beamforming strategy in the case of random packet arrivals is investigated. Under this setting, the relevant fairness criterion is the stabilization of all buffer queues which guarantees a bounded average delay for all users. It has been shown that allocating resources to maximize a queue-length-weighted sum of the rates is a stabilizing policy. However, the high complexity of user selection and the feasible rates determination for optimal scheme may prevent the real-time scheduling operation. Two low complexity algorithms are provided taking the channel state, queue state and orthogonality into account. In particular, the authors pick the first user with the largest product between channel gain and queuing length, and select the remaining users to construct candidate user set based on the greedy user selection method or channel orthogonal user selection method. Then, the power and rate allocation for the selected users are implemented based on the modified water-filling method. The complexity of the proposed algorithms is analyzed. The average delay and average throughput are studied in homogeneous scenarios and heterogeneous scenarios, respectively. Simulation results show that the proposed algorithms can take full advantage of the multi-user diversity gain and provide average delay (or throughput) and fairness improvement compared with channel-aware-only schemes.

  7. A cooperative online learning scheme for resource allocation in 5G systems

    Alqerm, Ismail


    The demand on mobile Internet related services has increased the need for higher bandwidth in cellular networks. The 5G technology is envisioned as a solution to satisfy this demand as it provides high data rates and scalable bandwidth. The multi-tier heterogeneous structure of 5G with dense base station deployment, relays, and device-to-device (D2D) communications intends to serve users with different QoS requirements. However, the multi-tier structure causes severe interference among the multi-tier users which further complicates the resource allocation problem. In this paper, we propose a cooperative scheme to tackle the interference problem, including both cross-tier interference that affects macro users from other tiers and co-tier interference, which is among users belong to the same tier. The scheme employs an online learning algorithm for efficient spectrum allocation with power and modulation adaptation capability. Our evaluation results show that our online scheme outperforms others and achieves significant improvements in throughput, spectral efficiency, fairness, and outage ratio. © 2016 IEEE.

  8. Resource allocation via sum-rate maximization in the uplink of multi-cell OFDMA networks

    Tabassum, Hina


    In this paper, we consider maximizing the sum rate in the uplink of a multi-cell orthogonal frequency-division multiple access network. The problem has a non-convex combinatorial structure and is known to be NP-hard. Because of the inherent complexity of implementing the optimal solution, firstly, we derive an upper bound (UB) and a lower bound (LB) to the optimal average network throughput. Moreover, we investigate the performance of a near-optimal single cell resource allocation scheme in the presence of inter-cell interference, which leads to another easily computable LB. We then develop a centralized sub-optimal scheme that is composed of a geometric programming-based power control phase in conjunction with an iterative subcarrier allocation phase. Although the scheme is computationally complex, it provides an effective benchmark for low complexity schemes even without the power control phase. Finally, we propose less complex centralized and distributed schemes that are well suited for practical scenarios. The computational complexity of all schemes is analyzed, and the performance is compared through simulations. Simulation results demonstrate that the proposed low complexity schemes can achieve comparable performance with that of the centralized sub-optimal scheme in various scenarios. Moreover, comparisons with the UB and LB provide insight on the performance gap between the proposed schemes and the optimal solution. Copyright © 2011 John Wiley & Sons, Ltd.

  9. Two-stage seasonal streamflow forecasts to guide water resources decisions and water rights allocation

    Block, P. J.; Gonzalez, E.; Bonnafous, L.


    Decision-making in water resources is inherently uncertain producing copious risks, ranging from operational (present) to planning (season-ahead) to design/adaptation (decadal) time-scales. These risks include human activity and climate variability/change. As the risks in designing and operating water systems and allocating available supplies vary systematically in time, prospects for predicting and managing such risks become increasingly attractive. Considerable effort has been undertaken to improve seasonal forecast skill and advocate for integration to reduce risk, however only minimal adoption is evident. Impediments are well defined, yet tailoring forecast products and allowing for flexible adoption assist in overcoming some obstacles. The semi-arid Elqui River basin in Chile is contending with increasing levels of water stress and demand coupled with insufficient investment in infrastructure, taxing its ability to meet agriculture, hydropower, and environmental requirements. The basin is fed from a retreating glacier, with allocation principles founded on a system of water rights and markets. A two-stage seasonal streamflow forecast at leads of one and two seasons prescribes the probability of reductions in the value of each water right, allowing water managers to inform their constituents in advance. A tool linking the streamflow forecast to a simple reservoir decision model also allows water managers to select a level of confidence in the forecast information.

  10. Designing for multiple global user populations: increasing resource allocation efficiency for greater sustainability.

    Nadadur, G; Parkinson, M B


    This paper proposes a method to identify opportunities for increasing the efficiency of raw material allocation decisions for products that are simultaneously targeted at multiple user populations around the world. The values of 24 body measures at certain key percentiles were used to estimate the best-fitting anthropometric distributions for female and male adults in nine national populations, which were selected to represent the diverse target markets multinational companies must design for. These distributions were then used to synthesize body measure data for combined populations with a 1:1 female:male ratio. An anthropometric range metric (ARM) was proposed for assessing the variation of these body measures across the populations. At any percentile, ARM values were calculated as the percentage difference between the highest and lowest anthropometric values across the considered user populations. Based on their magnitudes, plots of ARM values computed between the 1st and 99 th percentiles for each body measure were grouped into low, medium, and high categories. This classification of body measures was proposed as a means of selecting the most suitable strategies for designing raw material-efficient products. The findings in this study and the contributions of subsequent work along these lines are expected to help achieve greater efficiencies in resource allocation in global product development.

  11. A Novel Optimal Joint Resource Allocation Method in Cooperative Multicarrier Networks: Theory and Practice

    Gao, Yuan; Zhou, Weigui; Ao, Hong; Chu, Jian; Zhou, Quan; Zhou, Bo; Wang, Kang; Li, Yi; Xue, Peng


    With the increasing demands for better transmission speed and robust quality of service (QoS), the capacity constrained backhaul gradually becomes a bottleneck in cooperative wireless networks, e.g., in the Internet of Things (IoT) scenario in joint processing mode of LTE-Advanced Pro. This paper focuses on resource allocation within capacity constrained backhaul in uplink cooperative wireless networks, where two base stations (BSs) equipped with single antennae serve multiple single-antennae users via multi-carrier transmission mode. In this work, we propose a novel cooperative transmission scheme based on compress-and-forward with user pairing to solve the joint mixed integer programming problem. To maximize the system capacity under the limited backhaul, we formulate the joint optimization problem of user sorting, subcarrier mapping and backhaul resource sharing among different pairs (subcarriers for users). A novel robust and efficient centralized algorithm based on alternating optimization strategy and perfect mapping is proposed. Simulations show that our novel method can improve the system capacity significantly under the constraint of the backhaul resource compared with the blind alternatives. PMID:27077865

  12. Reducing Clinical Trial Monitoring Resource Allocation and Costs Through Remote Access to Electronic Medical Records

    Uren, Shannon C.; Kirkman, Mitchell B.; Dalton, Brad S.; Zalcberg, John R.


    Purpose: With electronic medical records (eMRs), the option now exists for clinical trial monitors to perform source data verification (SDV) remotely. We report on a feasibility study of remote access to eMRs for SDV and the potential advantages of such a process in terms of resource allocation and cost. Methods: The Clinical Trials Unit at the Peter MacCallum Cancer Centre, in collaboration with Novartis Pharmaceuticals Australia, conducted a 6-month feasibility study of remote SDV. A Novartis monitor was granted dedicated software and restricted remote access to the eMR portal of the cancer center, thereby providing an avenue through which perform SDV. Results: Six monitoring visits were conducted during the study period, four of which were performed remotely. The ability to conduct two thirds of the monitoring visits remotely in this complex phase III study resulted in an overall cost saving to Novartis. Similarly, remote monitoring eased the strain on internal resources, particularly monitoring space and hospital computer terminal access, at the cancer center. Conclusion: Remote access to patient eMRs for SDV is feasible and is potentially an avenue through which resources can be more efficiently used. Although this feasibility study involved limited numbers, there is no limit to scaling these processes to any number of patients enrolled onto large clinical trials. PMID:23633977

  13. A Dynamic Resource Allocation Method for Parallel DataProcessing in Cloud Computing

    V. V. Kumar


    Full Text Available Problem statement: One of the Cloud Services, Infrastructure as a Service(IaaS provides a Compute resourses for demand in various applications like Parallel Data processing. The computer resources offered in the cloud are extremely dynamic and probably heterogeneous. Nephele is the first data processing framework to explicitly exploit the dynamic resource allocation offered by today’s IaaS clouds for both, task scheduling and execution. Particular tasks of processing a job can be assigned to different types of virtual machines which are automatically instantiated and terminated during the job execution. However, the current algorithms does not consider the resource overload or underutilization during the job execution. In this study, we have focussed on increasing the efficacy of the scheduling algorithm for the real time Cloud Computing services. Approach: Our Algorithm utilizes the Turnaround time Utility effieciently by differentiating it into a gain function and a loss function for a single task. The algorithm also assigns high priority for task of early completion and less priority for abortions /deadlines issues of real time tasks. Results: The algorithm has been implemented on both preemptive and Non-premptive methods. The experimental results shows that it outperfoms the existing utility based scheduling algorithms and also compare its performance with both preemptive and Non-preemptive scheduling methods. Conculsion: Hence, a novel Turnaround time utility scheduling approach which focuses on both high priority and the low priority tasks that arrives for scheduling is proposed.

  14. Resource Dependent Radio Allocation For Battlefield Communications - A Data Model Approach

    Gregor Thomeczek


    Full Text Available Network Enabled Capability (NEC and the Land Open Systems Architecture (LOSA are novel approaches to enable interoperability between a heterogeneous collection of assets in the battlefield. These paradigms utilise an underlying network for cooperation between deployed battlefield equipment. NEC and LOSA have great potential to transform military communications and enhance integrated survivability as well as situational awareness, but the Achilles’ heel of NEC and LOSA is the wireless spectrum over which they must communicate. A noisy and dynamic battlefield wireless spectrum as well as an array of heterogeneous wireless communications equipment handling multiple types of data with different Quality of Service (QoS requirements requires a system which manages and allocates these communication resources effectively. This paper presents the High Availability Wireless Communications (HAWC system, a hardware agnostic communications controller middleware to manage any combination of existing and future multiband wireless resources. The system utilises a vehicle’s data model to gather information about available radio resources and enable LOSA by meeting communications data requirements and delivering appropriate QoS to the appropriate traffic in a fleet of vehicles. The functionality of the system is verified by using behavioural simulation on a virtual battlefield.

  15. A Novel Optimal Joint Resource Allocation Method in Cooperative Multicarrier Networks: Theory and Practice.

    Gao, Yuan; Zhou, Weigui; Ao, Hong; Chu, Jian; Zhou, Quan; Zhou, Bo; Wang, Kang; Li, Yi; Xue, Peng


    With the increasing demands for better transmission speed and robust quality of service (QoS), the capacity constrained backhaul gradually becomes a bottleneck in cooperative wireless networks, e.g., in the Internet of Things (IoT) scenario in joint processing mode of LTE-Advanced Pro. This paper focuses on resource allocation within capacity constrained backhaul in uplink cooperative wireless networks, where two base stations (BSs) equipped with single antennae serve multiple single-antennae users via multi-carrier transmission mode. In this work, we propose a novel cooperative transmission scheme based on compress-and-forward with user pairing to solve the joint mixed integer programming problem. To maximize the system capacity under the limited backhaul, we formulate the joint optimization problem of user sorting, subcarrier mapping and backhaul resource sharing among different pairs (subcarriers for users). A novel robust and efficient centralized algorithm based on alternating optimization strategy and perfect mapping is proposed. Simulations show that our novel method can improve the system capacity significantly under the constraint of the backhaul resource compared with the blind alternatives.

  16. On the use of clustering for resource allocation in wireless visual sensor networks

    Katsenou, Angeliki V.; Kondi, Lisimachos P.; Parsopoulos, Konstantinos E.


    The present study is focused on the problem of quality-driven cross-layer optimization of Direct Sequence Code Division Multiple Access (DS-CDMA) Wireless Visual Sensor Networks (WVSNs). We consider a centralized topology where each sensor transmits directly to a Centralized Control Unit (CCU), which manages the network resources. In real environments, the visual sensors view and transmit scenes with varying amount of motion. Thus, each recorded video has its individual motion characteristics. Our aim is to enable the CCU to jointly allocate the transmission power and source-channel coding rates for each WVSN node under certain quality- driven criteria and constant chip rate. We consider two approaches for the cross-layer optimization scheme. In the first, the optimal set of network resources is assigned to each node according to its individual motion characteristics. In the second approach, the nodes are partitioned into clusters according to the amount of motion in the recorded scenes. Then, all nodes within a cluster are assigned identical network resources. Both approaches result in mixed-integer optimization problems, which are solved with the Particle Swarm Optimization algorithm. Experimental results demonstrate the quality/complexity trade-off for the two approaches.

  17. Generalized location-based resource allocation for OFDMA cognitive radio systems

    Ben Ghorbel, Mahdi


    Cognitive radio is one of the hot topics for emerging and future wireless communication. Cognitive users can share channels with primary users under the condition of non interference. In order to compute this interference, the cognitive system usually use the channel state information of the primary user which is often impractical to obtain. However, using location information, we can estimate this interference by pathloss computation. In this paper, we introduce a low-complexity resource allocation algorithm for orthogonal frequency division multiple access (OFDMA) based cognitive radio systems, which uses relative location information between primary and secondary users to estimate the interference. This algorithm considers interference with multiple primary users having different thresholds. The simulation results show the efficiency of the proposed algorithm by comparing it with an optimal exhaustive search method. © 2010 IEEE.

  18. A Bayesian Game-Theoretic Approach for Distributed Resource Allocation in Fading Multiple Access Channels

    Gaoning He


    Full Text Available A Bayesian game-theoretic model is developed to design and analyze the resource allocation problem in K-user fading multiple access channels (MACs, where the users are assumed to selfishly maximize their average achievable rates with incomplete information about the fading channel gains. In such a game-theoretic study, the central question is whether a Bayesian equilibrium exists, and if so, whether the network operates efficiently at the equilibrium point. We prove that there exists exactly one Bayesian equilibrium in our game. Furthermore, we study the network sum-rate maximization problem by assuming that the users coordinate according to a symmetric strategy profile. This result also serves as an upper bound for the Bayesian equilibrium. Finally, simulation results are provided to show the network efficiency at the unique Bayesian equilibrium and to compare it with other strategies.

  19. Joint pricing and resource allocation for OFDMA-based cognitive radio systems

    Ben Ghorbel, Mahdi


    Cognitive users can share spectrum with primary users under constraints on the interference that results. We present a new pricing strategy for sharing the primary users\\' available subchannels with cognitive users by optimizing the secondary and primary users\\' utilities while meeting the primary users\\' interference constraints. The primary users aim to maximize their revenues by sharing their subchannels with secondary users while ensuring that they achieve a minimum target capacity. On the other hand, the secondary users aim to maximize their capacity under three different constraints: consumed power, a given budget for sharing subchannels, and tolerable interference caused to the primary users. We introduce a sequential procedure based on a distributed algorithm to determine the resource allocation, interference thresholds and prices that satisfy the requirements of both parties in the network. Simulations show that the users face a tradeoff between capacity, power, and price. © 2011 IEEE.

  20. Resource allocation in road infrastructure using ANP priorities with ZOGP formulation-A case study

    Alias, Suriana; Adna, Norfarziah; Soid, Siti Khuzaimah; Kardri, Mahani


    Road Infrastructure (RI) project evaluation and selection is concern with the allocation of scarce organizational resources. In this paper, it is suggest an improved RI project selection methodology which reflects interdependencies among evaluation criteria and candidate projects. Fuzzy Delphi Method (FDM) is use to evoking expert group opinion and also to determine a degree of interdependences relationship between the alternative projects. In order to provide a systematic approach to set priorities among multi-criteria and trade-off among objectives, Analytic Network Process (ANP) is suggested to be applied prior to Zero-One Goal Programming (ZOGP) formulation. Specifically, this paper demonstrated how to combined FDM and ANP with ZOGP through a real-world RI empirical example on an ongoing decision-making project in Johor, Malaysia.

  1. A Developmental Neuroscience Study of Moral Decision Making Regarding Resource Allocation.

    Meidenbauer, Kimberly L; Cowell, Jason M; Killen, Melanie; Decety, Jean


    Distinguishing between equity and equality is essential when making social and moral decisions, yet the related neurodevelopmental processes are unknown. Evaluations of contextually based third-party distributions incorporating recipient need and resource importance were examined in children and adolescents (N = 82; 8-16 years). Spatiotemporal neurodynamic responses show distinct developmental profiles to viewing such distributions. Event-related potentials (ERPs) differentially predicted real-life behaviors based on age, where older children's (8-10 years) evaluations were related to a fairly rapid, automatic ERP component (early posterior negativity), whereas adolescent and preadolescent (11-16 years) evaluations, first-person allocations, and prosocial behaviors were predicted by later, cognitively controlled ERP components (P3 and late positive potential). Together, these results reveal age-related changes regarding the neural responses that correspond to distributive justice decisions. © 2016 The Authors. Child Development © 2016 Society for Research in Child Development, Inc.

  2. Systems approaches to animal disease surveillance and resource allocation: methodological frameworks for behavioral analysis.

    Rich, Karl M; Denwood, Matthew J; Stott, Alistair W; Mellor, Dominic J; Reid, Stuart W J; Gunn, George J


    While demands for animal disease surveillance systems are growing, there has been little applied research that has examined the interactions between resource allocation, cost-effectiveness, and behavioral considerations of actors throughout the livestock supply chain in a surveillance system context. These interactions are important as feedbacks between surveillance decisions and disease evolution may be modulated by their contextual drivers, influencing the cost-effectiveness of a given surveillance system. This paper identifies a number of key behavioral aspects involved in animal health surveillance systems and reviews some novel methodologies for their analysis. A generic framework for analysis is discussed, with exemplar results provided to demonstrate the utility of such an approach in guiding better disease control and surveillance decisions.

  3. On the Dual-Decomposition-Based Resource and Power Allocation with Sleeping Strategy for Heterogeneous Networks

    Alsharoa, Ahmad M.


    In this paper, the problem of radio and power resource management in long term evolution heterogeneous networks (LTE HetNets) is investigated. The goal is to minimize the total power consumption of the network while satisfying the user quality of service determined by each target data rate. We study the model where one macrocell base station is placed in the cell center, and multiple small cell base stations and femtocell access points are distributed around it. The dual decomposition technique is adopted to jointly optimize the power and carrier allocation in the downlink direction in addition to the selection of turned off small cell base stations. Our numerical results investigate the performance of the proposed scheme versus different system parameters and show an important saving in terms of total power consumption. © 2015 IEEE.

  4. QoS Enabled Resource Allocation Over an UPnP-QoS - GMPLS Controlled Edge

    Brewka, Lukasz Jerzy; Sköldström, Pontus; Gavler, Anders;


    This paper focuses on the problem of coherent resource allocation within home and access networks. The interdomain QoS signaling discussed here enables the initiation of the QoS provisioning in the home and access from the end device in users home. The home network considered in this paper is UPn......P-QoS enabled while the access network is GMPLS based. We propose and implement an interface between aforementioned network segments allowing for end-to-end QoS establishment. We present the QoS parameters and mechanisms in both UPnP-QoS and GMPLS and how they can be matched to create a coherent Qo...

  5. Resource allocation algorithm with cross-layer design for DiffServ-based OFDM systems

    LI Xiao-hui; HAN Ming; YI Ke-chu; TIAN Bin


    According to the quality of service (QoS) requirements of differentiated service (DiffServ), a cross-layer resource allocation algorithm for multi-user orthogonal frequency division multiplexing (OFDM) systems is presented. The constant rate is maintained by adjusting the power dynamically for the voice traffics with high priority, whereas the fairness amongst the data traffics is guaranteed by weighted fairness queued (WFQ) algorithm. The two above-mentioned strategies are used for video traffics to realize variable data rate with the constraint of the minimum rate. Combing all these methods, both the throughput and the fairness are ensured when there are multiple users in the OFDM system. Simulation results indicate the validity of the proposed algorithm, which can work well even if the SNR is less than 0 dB.

  6. Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach

    Kang, Xin; Motani, Mehul


    This paper investigates the price-based resource allocation strategies for the uplink transmission of a spectrum-sharing femtocell network, in which a central macrocell is underlaid with distributed femtocells, all operating over the same frequency band as the macrocell. Assuming that the macrocell base station (MBS) protects itself by pricing the interference from the femtocell users, a Stackelberg game is formulated to study the joint utility maximization of the macrocell and the femtocells subject to a maximum tolerable interference power constraint at the MBS. Especially, two practical femtocell channel models: sparsely deployed scenario for rural areas and densely deployed scenario for urban areas, are investigated. For each scenario, two pricing schemes: uniform pricing and non-uniform pricing, are proposed. Then, the Stackelberg equilibriums for these proposed games are studied, and an effective distributed interference price bargaining algorithm with guaranteed convergence is proposed for the uniform-...

  7. Resource Allocation of Security-Critical Tasks with Statistically Guaranteed Energy Constraint

    Jiang, Wei; Jiang, Ke; Ma, Yue


    problem, we introduce a new optimization problem for a set of tasks with energy constraint and multiple security choices. We present a dynamic programming based approximation algorithm to minimize the security risk of the system while statistically guaranteeing energy consumption constraints for given......In this paper, we are interested in resource allocation for energy constrained and security-critical embedded systems. Tasks in such systems need to be successfully executed under certain energy budget and be robust against serious security threatens. Different to former energy minimal scheduling...... energy slack ratio. The proposed algorithm is very efficient in both time and space dimensions, and achieves good solutions. Extensive simulations demonstrate the superiority of our algorithm over other approaches....

  8. High-Performance Local Search for Task Scheduling with Human Resource Allocation

    Estellon, Bertrand; Gardi, Frédéric; Nouioua, Karim

    In this paper, a real-life problem of task scheduling with human resource allocation is addressed. This problem was approached by the authors in the context of the ROADEF 2007 Challenge, which is an international competition organized by the French Operations Research Society. The subject of the contest, proposed by the telecommunications company France Télé com, consists in planning maintenance interventions and teams of technicians needed for their achievements. The addressed combinatorial optimization problem is very hard: it contains several NP-hard subproblems and its scale (hundreds of interventions and technicians) induces a huge combinatorics. An effective and efficient local-search heuristic is described to solve this problem. This algorithm was ranked 2nd of the competition (over the 35 teams who have submitted a solution). Moreover, a methodology is revealed to design and engineer high-performance local-search heuristics for solving practically discrete optimization problems.

  9. 浅谈企业的人力资源配置%Discussion on the Human Resources Allocation of Enterprise



    文章首先对企业在人力资源配置方面存在的问题进行简要分析并对人力资源的合理配置问题进行论述,从知人善用、适人适位,动态优化与配置,个人与组织发展的匹配的角度出发,寻求解决人力资源配置问题的途径.%This article first analyzes the problems in human resource allocation of enterprises, discusses the rational allocation of human resources,and seeks the methods to resolve the problems in human resources allocation from the perspectives of appreciating use personal, proper human and proper job, dynamic optimization and configuration, the match between personal and organizational development.

  10. Efficiency of resource allocation in the hospital sector after global budgeting under National Health Insurance

    Victor Kreng; YANG Shao-wei


    Background Taiwan has implemented a National Health Insurance (NHI) program to provide uniform comprehensive coverage since 1995.Forced by the severe financial deficit,global budgeting is introduced to replace the original payment system in Taiwan's NHI.Under global budgeting system,the total budget is distributed to six geographical regions in Taiwan.There is no pre-determined budget for each hospital.In order to investigate the longitudinal trend of how global budgeting influences health care resource,it is essential to estimate the efficiency of resource allocation in Taiwan's NHI.Methods Data Envelopment Analysis (DEA) and Malmquist index (MI) are used to investigate the 8-year panel data of 23 cities and counties which was collected from the annual report from the Department of Health,Taiwan,China.A value of MI greater than 1 indicates that total factor productivity progress has occurred,while a value of MI less than 1 indicates productivity loss.Results As a result,37 of the 184 DMUs in the analysis were found to be relatively efficient during the period,in which 14 of 23 DMUs are efficient in 2002 right after adopting globe budgeting.A trend of MI declines between 2002 and 2009implies the volume of health care services decrease after adopting global budgeting system.Production efficiency has been improved after global budgeting implies that behaviors of health providers control cost and avoid wasting resource at macro level.Conclusions The regressive MI indicates the hospitals redistribute health care resource to eliminate unnecessary treatment and to control the growth of service volume under global budgeting system.Hence,a trend of declining MI focuses on health care resource redistribution rather than efficiency improvement in this study.




    Gas exchange, biomass and N allocation were compared among three Mojave Desert grasses representing different functional types to determine if photosynthetic responses and the associated allocation of resources within the plant changed after prolonged exposure to elevated CO{sub 2}. Leaf gas exchange characteristics were measured for Bromus madritensis ssp. rubens (C{sub 3} invasive annual), Achnatherum hymenoides (C{sub 3} native perennial) and Pleuraphis rigida (C{sub 4} native perennial) exposed to 360 {micro}mol mol{sup -1} (ambient) and 1000 {micro}mol mol{sup -1} (elevated) CO{sub 2} concentrations in a glasshouse experiment, and tissue biomass and total N pools were quantified from three harvests during development. The maximum rate of carboxylation by the N-rich enzyme Rubisco (Vc{sub max}), which was inferred from the relationship between net CO{sub 2} assimilation (A{sub net}) and intracellular CO{sub 2} concentration (c{sub i}), declined in the C{sub 3} species Bromus and Achnatherum across all sampling dates, but did not change at elevated CO{sub 2} for the C{sub 4} Pleuraphis. Whole plant N remained the same between CO{sub 2} treatments for all species, but patterns of allocation differed for the short- and long-lived C{sub 3} species. For Bromus, leaf N used for photosynthesis was reallocated to reproduction at elevated CO{sub 2} as inferred from the combination of lower Vc{sub max} and N per leaf area (NLA) at elevated CO{sub 2}, but similar specific leaf area (SLA, cm{sup 2} g{sup -1}), and of greater reproductive effort (RE) for the elevated CO{sub 2} treatment. Vc{sub max}, leaf N concentration and NLA declined for the perennial Achnatherum at elevated CO{sub 2} potentially due to accumulation of carbohydrates or changes in leaf morphology inferred from lower SLA and greater total biomass at elevated CO{sub 2}. In contrast, Vc{sub max} for the C{sub 4} perennial Pleuraphis did not change at elevated CO{sub 2}, and tissue biomass and total N were

  12. From efficacy to equity: Literature review of decision criteria for resource allocation and healthcare decisionmaking

    Guindo Lalla Aïda


    Full Text Available Abstract Objectives Resource allocation is a challenging issue faced by health policy decisionmakers requiring careful consideration of many factors. Objectives of this study were to identify decision criteria and their frequency reported in the literature on healthcare decisionmaking. Method An extensive literature search was performed in Medline and EMBASE to identify articles reporting healthcare decision criteria. Studies conducted with decisionmakers (e.g., focus groups, surveys, interviews, conceptual and review articles and articles describing multicriteria tools were included. Criteria were extracted, organized using a classification system derived from the EVIDEM framework and applying multicriteria decision analysis (MCDA principles, and the frequency of their occurrence was measured. Results Out of 3146 records identified, 2790 were excluded. Out of 356 articles assessed for eligibility, 40 studies included. Criteria were identified from studies performed in several regions of the world involving decisionmakers at micro, meso and macro levels of decision and from studies reporting on multicriteria tools. Large variations in terminology used to define criteria were observed and 360 different terms were identified. These were assigned to 58 criteria which were classified in 9 different categories including: health outcomes; types of benefit; disease impact; therapeutic context; economic impact; quality of evidence; implementation complexity; priority, fairness and ethics; and overall context. The most frequently mentioned criteria were: equity/fairness (32 times, efficacy/effectiveness (29, stakeholder interests and pressures (28, cost-effectiveness (23, strength of evidence (20, safety (19, mission and mandate of health system (19, organizational requirements and capacity (17, patient-reported outcomes (17 and need (16. Conclusion This study highlights the importance of considering both normative and feasibility criteria for fair

  13. Scarce Resource Allocation During Disasters: A Mixed-Method Community Engagement Study.

    Biddison, Elizabeth Lee Daugherty; Gwon, Howard S; Schoch-Spana, Monica; Regenberg, Alan C; Juliano, Chrissie; Faden, Ruth R; Toner, Eric S


    During a catastrophe, health-care providers may face difficult questions regarding who will receive limited life-saving resources. The ethical principles that should guide decision-making have been considered by expert panels but have not been well explored with the public or front-line clinicians. The objective of this study was to characterize the public's values regarding how scarce mechanical ventilators should be allocated during an influenza pandemic, with the ultimate goal of informing a statewide scare resource allocation framework. Adopting deliberative democracy practices, we conducted 15 half-day community engagement forums with the general public and health-related professionals. Small group discussions of six potential guiding ethical principles were led by trained facilitators. The forums consisted exclusively of either members of the general public or health-related or disaster relief professionals and were convened in a variety of meeting places across the state of Maryland. Primary data sources were predeliberation and postdeliberation surveys and the notes from small group deliberations compiled by trained note takers. Three hundred twenty-four individuals participated in 15 forums. Participants indicated a preference for prioritizing short-term and long-term survival, but they indicated that these should not be the only factors driving decision-making during a crisis. Qualitative analysis identified 10 major themes that emerged. Many, but not all, themes were consistent with previously issued recommendations. The most important difference related to withholding vs withdrawing ventilator support. The values expressed by the public and front-line clinicians sometimes diverge from expert guidance in important ways. Awareness of these differences should inform policy making. Copyright © 2017. Published by Elsevier Inc.

  14. Informal payments and intra-household allocation of resources for health care in Albania

    Tomini Sonila


    Full Text Available Abstract Background Informal payments for health care services can impose financial hardship on households. Many studies have found that the position within the household can influence the decision on how much is spent on each household member. This study analyses the intra-household differences in spending on informal payments for health care services by comparing the resources allocated between household heads, spouses and children. Methods Pooled data from two cross sectional surveys, the Albanian Living Standard Measurement Survey 2002 and 2005, are used to analyse both the probability and the amount paid in inpatient and outpatient health care services. A generalised Hausman specification test is used to compare the coefficients of probit and OLS models for nuclear and extended households. Results We find that due to the widespread informal payments there are no significant differences between households in the incidence of informal payments for households' members, but there are more differences in the amount paid informally. Results suggest that households strategically allocate their resources on health care by favouring individuals with higher earning potential who have invested more in human capital. Extended households pay higher amounts for spouses with higher education compared to nuclear households. On the other hand, nuclear households choose to pay higher amounts for children with a higher level of education compared to extended households. Conclusions The differences between households should be taken into account by public policies which should compensate this by redistribution mechanisms targeting disadvantaged groups. Governments should implement effective measures to deal with informal patient payments. JEL Codes: I10, I19, D10


    Jaramillo, Hector Eduardo Castro; Goetghebeur, Mireille; Moreno-Mattar, Ornella


    In 2012, Colombia experienced an important institutional transformation after the establishment of the Health Technology Assessment Institute (IETS), the disbandment of the Regulatory Commission for Health and the reassignment of reimbursement decision-making powers to the Ministry of Health and Social Protection (MoHSP). These dynamic changes provided the opportunity to test Multi-Criteria Decision Analysis (MCDA) for systematic and more transparent resource-allocation decision-making. During 2012 and 2013, the MCDA framework Evidence and Value: Impact on Decision Making (EVIDEM) was tested in Colombia. This consisted of a preparatory stage in which the investigators conducted literature searches and produced HTA reports for four interventions of interest, followed by a panel session with decision makers. This method was contrasted with a current approach used in Colombia for updating the publicly financed benefits package (POS), where narrative health technology assessment (HTA) reports are presented alongside comprehensive budget impact analyses (BIAs). Disease severity, size of population, and efficacy ranked at the top among fifteen preselected relevant criteria. MCDA estimates of technologies of interest ranged between 71 to 90 percent of maximum value. The ranking of technologies was sensitive to the methods used. Participants considered that a two-step approach including an MCDA template, complemented by a detailed BIA would be the best approach to assist decision-making in this context. Participants agreed that systematic priority setting should take place in Colombia. This work may serve as the basis to the MoHSP on its interest of setting up a systematic and more transparent process for resource-allocation decision-making.

  16. [Resource allocation analysis for international cooperation program for HIV/AIDS prevention and control].

    Li, Hui; Xue, Hui; Liu, Hui; Guo, Hao-yan; Zhang, Hua; Sun, Jiang-ping


    To provide evidence for resource allocation and cooperation between domestic and international HIV/AIDS programs in China by analyzing the needs and current levels of resource input in provinces. National and provincial international cooperation program investment and allocation data from 2000 to 2006 were collected. Several factors in each province were analyzed through multiple regression analysis in order to determine whether they had a statistical correlation to the distribution of international HIV/AIDS program resources in China, including: the Gross Domestic Product (GDP), the number of accumulated people living with HIV/AIDS, and the number of accumulated people living with AIDS. Then the Z values were calculated at each provincial level and compared with related international investment. The resource allocation in different program areas were compared with the level of resource input by international and central government HIV/AIDS prevention and control programs through Chi-square test. The international cooperation program investment at local level from 2000 to 2006 were 4893, 24 669, 50 567, 52 950, 112 143, 363 396 and 247 045 thousand RMB respectively, and at national level were 3007, 19 726, 29 035, 37 530, 77 500, 105 786 and 77 035 thousand RMB respectively. There was a statistical correlation between international HIV/AIDS program resource input and the accumulated number of people living with AIDS (R is 0.56 and 0.69 accordingly, and P invest in each province according to its practical needs (R = 0.066, P = 0.725). The international cooperation program investments and needs in different province could not meet completely. The ranks of Z value in Guangdong, Shandong and Jiangsu were 3, 5 and 6, but the ranks of international cooperation program in those provinces were 18, 13 and 28 respectively. The investment proportion for national investment in surveillance and testing, advocacy education and intervention, care and support, and others were 22

  17. Equity in the allocation of public sector financial resources in low- and middle-income countries: a systematic literature review.

    Anselmi, Laura; Lagarde, Mylene; Hanson, Kara


    This review aims to identify, assess and analyse the evidence on equity in the distribution of public health sector expenditure in low- and middle-income countries. Four bibliographic databases and five websites were searched to identify quantitative studies examining equity in the distribution of public health funding in individual countries or groups of countries. Two different types of studies were identified: benefit incidence analysis (BIA) and resource allocation comparison (RAC) studies. Quality appraisal and data synthesis were tailored to each study type to reflect differences in the methods used and in the information provided. We identified 39 studies focusing on African, Asian and Latin American countries. Of these, 31 were BIA studies that described the distribution, typically across socio-economic status, of individual monetary benefit derived from service utilization. The remaining eight were RAC studies that compared the actual expenditure across geographic areas to an ideal need-based distribution. Overall, the quality of the evidence from both types of study was relatively weak. Looking across studies, the evidence confirms that resource allocation formulae can enhance equity in resource allocation across geographic areas and that the poor benefits proportionally more from primary health care than from hospital expenditure. The lack of information on the distribution of benefit from utilization in RAC studies and on the countries' approaches to resource allocation in BIA studies prevents further policy analysis. Additional research that relates the type of resource allocation mechanism to service provision and to the benefit distribution is required for a better understanding of equity-enhancing resource allocation policies.

  18. A System Dynamics Model to Improve Water Resources Allocation in the Conchos River

    Gastelum, J. R.; Valdes, J. B.; Stewart, S.


    The Conchos river located in Chihuahua state on a semiarid region is the most important Mexican river contributing water deliveries to USA as established by the Water treaty of 1944 signed between Mexico and USA. Historically, Mexico has delivered to UNITED STATES 550 Hm3 (445,549.5 ACF) per year of water since the treaty was established, which is 25% above the yearly water volume Mexico is required to deliver. The Conchos river has contributed with 54% of the historic Mexican water treaty deliveries to the UNITED STATES, which represents the highest percentage of the 6 Mexican rivers considered on the water treaty. However, during drought situations the basin has proven to be vulnerable, for instance, because of the severe drought of the 90's, several cities in 1992 on Chihuahua state where declared disaster areas, and from 1992 to 2001 Mexico had accumulated a water treaty deficit of 2111.6 Hm3 (1,710,586 ACF). This has conduced to economic, social, and political difficulties in both countries. Because of the cited problematic and considering the poor understanding of the relationship between water supply and demand factors on the basin, a decision support system (DSS) has been developed aimed to improve the decision making process related with the water resources allocation process. This DSS has been created using System Dynamics (SD). It is a semi-distributed model and is running on monthly time step basis. For both the short and long term, three important water resources management strategies have been evaluated: several water allocation policies from reservoirs to water users; bulk water rights transfers inside and outside Irrigation Districts; and improvement of water distribution efficiencies. The model results have provided very useful regard to gain more quantitative understanding of the different strategies being implemented. They have also indicated that the different water resources alternatives change its degree of importance according to the

  19. Research of water resources allocation of South-to-North Water Diversion East Route Project in Jiangsu Province ,Eastern China

    Zeng, C.


    Optimized allocation of water resources is the important means of solving regional water shortage and can improve the utilization of water resources. Water resources allocation in the large-scale water diversion project area is the current research focus. This research takes the east route of the South-to-North Water Transfer Project in Jiangsu province as the research area, based on the hydrological model, agricultural irrigation quota model, and water project scheduling model, a water resources allocation model was constructed. The research carried on generalized regional water supply network, simulated the water supply, water demand and water deficit in agriculture, industry, life, ecology and lock under the status quo and planning engineering conditions. According to the results, the east route of the South-to-North Water Transfer Project is helpful to improve regional water shortage situation. The results showed that pump output increase by 2.8 billion cubic meters of water. On the conditions of P = 95%, 75% and 50%, compared with the benchmark year, water demand increases slightly due to the need of social and economic development in planning years, and water supply increased significantly because of new diversion ability. Water deficit are greatly reduced by 74.9% especially in the commonly drought condition because of the new project operation and optimized allocation of water resources.

  20. Shifts in biomass and resource allocation patterns following defoliation in Eucalyptus globulus growing with varying water and nutrient supplies.

    Eyles, Alieta; Pinkard, Elizabeth A; Mohammed, Caroline


    In woody species, potential mechanisms to compensate for tissue loss to herbivory and diseases have been related to post-event shifts in growth, biomass and internal resource allocation patterns, as modulated by external resource limitations. We examined the interactive effects of belowground resource limitations by varying nutrient and water availability, and aboveground carbon limitation imposed by a single defoliation event (40% leaf removal) on stem growth, whole-tree and within-tree resource allocation patterns (total non-structural carbohydrate and nitrogen) and below- and aboveground biomass allocation patterns in 8-month-old, field-grown Eucalyptus globulus Labill. saplings. Two months after treatments were imposed, the direction of the stem growth response to defoliation depended on the abiotic treatment. Five months after defoliation, however, we found little evidence that resource availability constrained the expression of tolerance to defoliation. With the exception of the combined low-nutrient and low-water supply treatment, saplings grown with (1) adequate water and nutrient supplies and even with (2) low-water supply or (3) low-nutrient supply were able to compensate for the 40% foliage loss. The observed compensatory responses were attributed to the activation of several short- and longer-term physiological mechanisms including reduced biomass allocation to coarse roots, mobilization of carbohydrate reserves, robust internal N dynamics and increased ratio of foliage to wood dry mass.

  1. Theory and model of water resources complex adaptive allocation system%水资源复杂适应配置系统的理论与模型

    赵建世; 王忠静; 翁文斌


    Complex adaptive system theory is a new and important embranchment of system science,which provides a new thought to research water resources allocation system. Based on the analysis ofcomplexity and complex adaptive mechanism of water resources allocation system, a fire-new analysismodel is presented in this paper. With the description of dynamical mechanism of system, behaviorcharacters of agents and the evaluation method of system status, an integrity research system is built toanalyse the evolvement rule of water resources allocation system. And a brief research for the impactof water resources allocation in beneficial regions of the Water Transfer from South to North ChinaProject is conducted.

  2. Critical phenomena in communication/computation networks with various topologies and suboptimal to optimal resource allocation

    Cogoni, Marco; Busonera, Giovanni; Anedda, Paolo; Zanetti, Gianluigi


    We generalize previous studies on critical phenomena in communication networks [1,2] by adding computational capabilities to the nodes. In our model, a set of tasks with random origin, destination and computational structure is distributed on a computational network, modeled as a graph. By varying the temperature of a Metropolis Montecarlo, we explore the global latency for an optimal to suboptimal resource assignment at a given time instant. By computing the two-point correlation function for the local overload, we study the behavior of the correlation distance (both for links and nodes) while approaching the congested phase: a transition from peaked to spread g(r) is seen above a critical (Montecarlo) temperature Tc. The average latency trend of the system is predicted by averaging over several network traffic realizations while maintaining a spatially detailed information for each node: a sharp decrease of performance is found over Tc independently of the workload. The globally optimized computational resource allocation and network routing defines a baseline for a future comparison of the transition behavior with respect to existing routing strategies [3,4] for different network topologies.

  3. A resource allocation model to support efficient air quality management in South Africa

    U Govender


    Full Text Available Research into management interventions that create the required enabling environment for growth and development in South Africa are both timely and appropriate. In the research reported in this paper, the authors investigated the level of efficiency of the Air Quality Units within the three spheres of government viz. National, Provincial, and Local Departments of Environmental Management in South Africa, with the view to develop a resource allocation model. The inputs to the model were calculated from the actual man-hours spent on twelve selected activities relating to project management, knowledge management and change management. The outputs assessed were aligned to the requirements of the mandates of these Departments. Several models were explored using multiple regressions and stepwise techniques. The model that best explained the efficiency of the organisations from the input data was selected. Logistic regression analysis was identified as the most appropriate tool. This model is used to predict the required resources per Air Quality Unit in the different spheres of government in an attempt at supporting and empowering the air quality regime to achieve improved output efficiency.

  4. Rapid, Machine-Learned Resource Allocation: Application to High-redshift GRB Follow-up

    Morgan, Adam N; Richards, Joseph W; Broderick, Tamara; Butler, Nathaniel R; Bloom, Joshua S


    As the number of observed Gamma-Ray Bursts (GRBs) continues to grow, follow-up resources need to be used more efficiently in order to maximize science output from limited telescope time. As such, it is becoming increasingly important to rapidly identify bursts of interest as soon as possible after the event, before the afterglows fade beyond detectability. Studying the most distant (highest redshift) events, for instance, remains a primary goal for many in the field. Here we present our Random forest Automated Triage Estimator for GRB redshifts (RATE GRB-z) for rapid identification of high-redshift candidates using early-time metrics from the three telescopes onboard Swift. While the basic RATE methodology is generalizable to a number of resource allocation problems, here we demonstrate its utility for telescope-constrained follow-up efforts with the primary goal to identify and study high-z GRBs. For each new GRB, RATE GRB-z provides a recommendation - based on the available telescope time - of whether the e...

  5. Resource Allocation and Cluster Formation for Imperfect NOMA in DL/UL Decoupled HetNets

    Celik, Abdulkadir


    Being capable of serving multiple users with the same radio resource, non-orthogonal multiple access (NOMA) can provide desirable performance enhancements in a fair and spectral efficient manner. In this paper, we investigate the resource allocation (RA) and cluster formation (CF) aspects of NOMA for downlink (DL) uplink (UL) decoupled (DUDe) heterogeneous networks (HetNets). A non-ideal NOMA scheme is considered with power disparity and sensitivity constraints (PDSCs), delay tolerance, and residual interference after cancellation. Taking the PDSCs into account, we analytically show that using the DL decoding order limits UL-NOMA performance by that of OMA, while employing an inverse order result in a performance gain that is mainly determined by the channel gain disparity of users. Thereafter, a generic CF method is proposed for any type of user graph, which iteratively forms clusters using Blossom algorithm. Finally, highly non-convex RA problem is converted into a convex form by employing geometric programming (GP) where power and bandwidth are optimized to maximize network sumrate and max-min fairness objectives.

  6. A Simple Dual Decomposition Method for Resource Allocation in Telecommunication Networks

    Konnov Igor


    Full Text Available We consider a problem of optimal resource allocation in a wireless communication network divided into zones (clusters. The network manager aims to distribute some homogeneous resource (bandwidth among users of several zones in order to maximize the total network profit, which takes into account payments from users and implementation costs. As a result, we obtain a convex optimization problem involving capacity and balance constraints. By using the dual Lagrangian method with respect to the capacity constraint, we reduce the initial problem to a suitable one-dimensional problem, so that calculation of its cost function value leads to independent solution of zonal problems, treated as two-side auction models with one trader. We show that solution of each zonal problem can be found exactly by a simple arrangement type algorithm even in the case where the trader price is not fixed. Besides, we suggest ways to adjust the basic problem to the case of moving nodes. Some results of computational experiments confirm the applicability of the new method.

  7. Trade-Offs in Resource Allocation Among Moss Species Control Decomposition in Boreal Peatlands

    Turetsky, M. R.; Crow, S. E.; Evans, R. J.; Vitt, D. H.; Wieder, R. K.


    We separated the effects of plant species controls on decomposition rates from environmental controls in northern peatlands using a full factorial, reciprocal transplant experiment of eight dominant bryophytes in four distinct peatland types in boreal Alberta, Canada. Standard fractionation techniques as well as compound-specific pyrolysis molecular beam mass spectrometry were used to identify a biochemical mechanism underlying any interspecific differences in decomposition rates. We found that over a 3-year field incubation, individual moss species and not micro-environmental conditions controlled early stages of decomposition. Across species, Sphagnum mosses exhibited a trade-off in resource partitioning into metabolic and structural carbohydrates, a pattern that served as a strong predictor of litter decomposition. Decomposition rates showed a negative co-variation between species and their microtopographic position, as species that live in hummocks decomposed slowly but hummock microhabitats themselves corresponded to rapid decomposition rates. By forming litter that degrades slowly, hummock mosses appear to promote the maintenance of macropore structure in surface peat hummocks that aid in water retention. Many northern regions are experiencing rapid climate warming that is expected to accelerate the decomposition of large soil carbon pools stored within peatlands. However, our results suggest that some common peatland moss species form tissue that resists decomposition across a range of peatland environments, suggesting that moss resource allocation could stabilize peatland carbon losses under a changing climate.

  8. China’s Grain Production and Its Requirement for Water Resources Allocation

    Jing; ZHAO


    Agricultural water is directly related with grain production security. This article analyzes how to allocate the water resources in terms of grain production. Firstly,for the whole country,we established the VAR mathematical model with the data of 1983 to 2008 to test the relationships between the total amount of water and the agriculture production and forecast the water consumption in 2020. Then focusing on the major grain producing areas,we examine the main index and the pressure index,from which we find that the amount of agricultural water in major areas fail to satisfy the demand of production,and that unbalanced development exists between different areas with several areas especially serious. At last,we point out that,to ensure the security of agriculture production and the sustainable utilization of water resources,the government should take measures not only to prevent water pollution and reduce water consumption,but also to improve inter-basin water transfer planning.

  9. Resources allocation in reproductive rabbit does: a review of feeding and genetic strategies for suitable performance

    Juan José Pascual


    Full Text Available In the present work is analysed how frequent feeding and selection programmes could be affecting resources allocation in reproductive rabbit does, and the possible consequences resulted from these changes, as well as the central role of body condition for a suitable female performance considering genetic level, health and welfare.  Resources allocation between functions, and consequently body condition, must be genetically driven.  Traditional view of body reserves mobilisation in reproductive rabbit does as a response of feed intake must be moved to an animal view, where feed intake must be considered more as an “output” consequence of the resources allocation in the female to ensure current and future litter viability.  To a great extent, future reproductive potential of reproductive rabbit females is decided before first partum.  There seems to be enough evidence of a possible threshold for the rabbit female birth weight to reach the beginning of reproductive life in a suitable body condition to maximise their future reproductive potential.  The moment of first mating could be identified the last ‘pure’ data of the animal, sign of the animal soma and probably related to their productive potential.  The choice of an adequate feeding system during rearing and first pregnancy also seems to be relevant in the reproductive performance of rabbit females in the short and long term. This should allow young females to reach first mating and late pregnancy with a good maturity level, but over-fattening must be avoided to reduce the risk of pregnancy toxaemia and reduced reproduction.  The body condition of the females changes during the reproductive cycle and throughout their reproductive life according to their genetically determined level.  The problems appear when the animals are forced to differ from this adequate level, increasing susceptibility to disease, other stress factors and eventual failure.  The body condition of young

  10. Technology assessment and resource allocation for predictive genetic testing: A study of the perspectives of Canadian genetic health care providers

    Einsiedel Edna


    Full Text Available Abstract Background With a growing number of genetic tests becoming available to the health and consumer markets, genetic health care providers in Canada are faced with the challenge of developing robust decision rules or guidelines to allocate a finite number of public resources. The objective of this study was to gain Canadian genetic health providers' perspectives on factors and criteria that influence and shape resource allocation decisions for publically funded predictive genetic testing in Canada. Methods The authors conducted semi-structured interviews with 16 senior lab directors and clinicians at publically funded Canadian predictive genetic testing facilities. Participants were drawn from British Columbia, Alberta, Manitoba, Ontario, Quebec and Nova Scotia. Given the community sampled was identified as being relatively small and challenging to access, purposive sampling coupled with snowball sampling methodologies were utilized. Results Surveyed lab directors and clinicians indicated that predictive genetic tests were funded provincially by one of two predominant funding models, but they themselves played a significant role in how these funds were allocated for specific tests and services. They also rated and identified several factors that influenced allocation decisions and patients' decisions regarding testing. Lastly, participants provided recommendations regarding changes to existing allocation models and showed support for a national evaluation process for predictive testing. Conclusion Our findings suggest that largely local and relatively ad hoc decision making processes are being made in relation to resource allocations for predictive genetic tests and that a more coordinated and, potentially, national approach to allocation decisions in this context may be appropriate.

  11. Mapping Water Resources, Allocation and Consumption in the Mills River Basin

    Hodes, J.; Jeuland, M. A.; Barros, A. P.


    Mountain basins and the headwaters of river basins along the foothills of major mountain ranges are undergoing rapid environmental change due to urban development, land acquisition by investors, population increase, and climate change. Classical water infrastructure in these regions is primarily designed to meet human water demand associated with agriculture, tourism, and economic development. Often overlooked and ignored is the fundamental interdependence of human water demand, ecosystem water demand, water rights and allocation, and water supply. A truly sustainable system for water resources takes into account ecosystem demand along with human infrastructure and economic demand, as well as the feedbacks that exist between them. Allocation policies need to take into account basin resilience that is the amount of stress the system can handle under varying future scenarios. Changes in stress on the system can be anthropogenic in the form of population increase, land use change, economic development, or may be natural in the form of climate change and decrease in water supply due to changes in precipitation. Mapping the water rights, supply, and demands within the basin can help determine the resiliency and sustainability of the basin. Here, we present a coupled natural human system project based in the French Broad River Basin, in the Southern Appalachians. In the first phase of the project, we are developing and implementing a coupled hydro-economics modeling framework in the Mills River Basin (MRB), a tributary of the French Broad. The Mills River Basin was selected as the core basin for implementing a sustainable system of water allocation that is adaptive and reflects the interdependence of water dependent sectors. The headwaters of the Mills River are in the foothills of the Appalachians, and are currently under substantial land use land cover (LULC) change pressure for agricultural purposes. In this regard, the MRB is representative of similar headwater

  12. Relay Selection and Subcarrier-Pair Based Energy-Efficient Resource Allocation for Multirelay Cooperative OFDMA Networks

    Wanming Hao


    Full Text Available Energy-efficient resource allocation is investigated for a relay-based multiuser cooperation orthogonal frequency division multiple access (OFDMA uplink system with amplify-and-forward (AF protocol for all relays. The objective is to maximize the total energy efficiency (EE of the uplink system with consideration of some practical limitations, such as the individual power constraint for the users and relays and the quality of service (QoS for every user. We formulate an energy-efficient resource allocation problem that seeks joint optimization of subcarrier pairing, relay selection, subcarrier assignment, and power allocation. Unlike previous optimization throughput models, we transform the considered EE problem in fractional form into an equivalent optimal problem in subtractive form, which is solved by using dual decomposition and subgradient methods. To reduce computation costs, we propose two low-complexity suboptimal schemes. Numerical studies are conducted to evaluate the EE of the proposed algorithms.

  13. [Indices of public health services and resource allocation from the Health Ministry of Chile].

    Salinas, Hugo; Erazo, Marcia; Reyes, Alvaro; Carmona, Sergio; Veloz, Patricio; Bocaz, Francisca; Silva, Paulina; Carvajal, Rodrigo


    Chile has a National Health Services System, formed by 29 Health Services. An efficient resource distribution among this services is crucial for an efficient health care delivery. To obtain indices from the Chilean Public Health Services, that could improve allocation of resources. Information from the Chilean Public Health Services, corresponding to activities during 2001 budgetary period, was collected. This is the latest complete and official information for the totality of Health Services in the country. Seventeen variables generated or monitored by the Instituto Nacional de Estadísticas (INE), the Ministerio de Salud (MINSAL), the Ministerio de Hacienda, the Ministerio de Planificación y Cooperación (MIDEPLAN) and the Fondo Nacional de Salud (FONASA) were studied. The Main Components Analysis (ACP) was used, obtained from the R correlation matrix. The first two main components were selected, with an accumulated percentage of explained variability of 63.05%. The first component is related to the population assigned to each Health Service. This corresponds to the number of people needed to treat in the hospitals of these Services and their answer to this demand, justified by the expenses in which each Health Service incurs. There is an inverse relation of the first component with health indicators, measured by burden of disease and death. The second main component would represent the social and economic characteristics of the population, poor and very poor populations and public health insurance beneficiaries, to take care of in each Health Service. Health indicators in each Health Service are not considered a priority for resource distribution among Health Services in the country. The transference is done considering the indices contained in the two main components defined.

  14. Risk-based water resources planning: Coupling water allocation and water quality management under extreme droughts

    Mortazavi-Naeini, M.; Bussi, G.; Hall, J. W.; Whitehead, P. G.


    The main aim of water companies is to have a reliable and safe water supply system. To fulfil their duty the water companies have to consider both water quality and quantity issues and challenges. Climate change and population growth will have an impact on water resources both in terms of available water and river water quality. Traditionally, a distinct separation between water quality and abstraction has existed. However, water quality can be a bottleneck in a system since water treatment works can only treat water if it meets certain standards. For instance, high turbidity and large phytoplankton content can increase sharply the cost of treatment or even make river water unfit for human consumption purposes. It is vital for water companies to be able to characterise the quantity and quality of water under extreme weather events and to consider the occurrence of eventual periods when water abstraction has to cease due to water quality constraints. This will give them opportunity to decide on water resource planning and potential changes to reduce the system failure risk. We present a risk-based approach for incorporating extreme events, based on future climate change scenarios from a large ensemble of climate model realisations, into integrated water resources model through combined use of water allocation (WATHNET) and water quality (INCA) models. The annual frequency of imposed restrictions on demand is considered as measure of reliability. We tested our approach on Thames region, in the UK, with 100 extreme events. The results show increase in frequency of imposed restrictions when water quality constraints were considered. This indicates importance of considering water quality issues in drought management plans.

  15. Efficient Nash Equilibrium Resource Allocation Based on Game Theory Mechanism in Cloud Computing by Using Auction.

    Nezarat, Amin; Dastghaibifard, G H


    One of the most complex issues in the cloud computing environment is the problem of resource allocation so that, on one hand, the cloud provider expects the most profitability and, on the other hand, users also expect to have the best resources at their disposal considering the budget constraints and time. In most previous work conducted, heuristic and evolutionary approaches have been used to solve this problem. Nevertheless, since the nature of this environment is based on economic methods, using such methods can decrease response time and reducing the complexity of the problem. In this paper, an auction-based method is proposed which determines the auction winner by applying game theory mechanism and holding a repetitive game with incomplete information in a non-cooperative environment. In this method, users calculate suitable price bid with their objective function during several round and repetitions and send it to the auctioneer; and the auctioneer chooses the winning player based the suggested utility function. In the proposed method, the end point of the game is the Nash equilibrium point where players are no longer inclined to alter their bid for that resource and the final bid also satisfies the auctioneer's utility function. To prove the response space convexity, the Lagrange method is used and the proposed model is simulated in the cloudsim and the results are compared with previous work. At the end, it is concluded that this method converges to a response in a shorter time, provides the lowest service level agreement violations and the most utility to the provider.

  16. Pollen feeding, resource allocation and the evolution of chemical defence in passion vine butterflies.

    Cardoso, M Z; Gilbert, L E


    Evolution of pollen feeding in Heliconius has allowed exploitation of rich amino acid sources and dramatically reorganized life-history traits. In Heliconius, eggs are produced mainly from adult-acquired resources, leaving somatic development and maintenance to larva effort. This innovation may also have spurred evolution of chemical defence via amino acid-derived cyanogenic glycosides. In contrast, nonpollen-feeding heliconiines must rely almost exclusively on larval-acquired resources for both reproduction and defence. We tested whether adult amino acid intake has an immediate influence on cyanogenesis in Heliconius. Because Heliconius are more distasteful to bird predators than close relatives that do not utilize pollen, we also compared cyanogenesis due to larval input across Heliconius species and nonpollen-feeding relatives. Except for one species, we found that varying the amino acid diet of an adult Heliconius has negligible effect on its cyanide concentration. Adults denied amino acids showed no decrease in cyanide and no adults showed cyanide increase when fed amino acids. Yet, pollen-feeding butterflies were capable of producing more defence than nonpollen-feeding relatives and differences were detectable in freshly emerged adults, before input of adult resources. Our data points to a larger role of larval input in adult chemical defence. This coupled with the compartmentalization of adult nutrition to reproduction and longevity suggests that one evolutionary consequence of pollen feeding, shifting the burden of reproduction to adults, is to allow the evolution of greater allocation of host plant amino acids to defensive compounds by larvae. © 2013 The Authors. Journal of Evolutionary Biology © 2013 European Society For Evolutionary Biology.

  17. Multi-Objective, Auto-Optimization Modeling for Resource Allocation Decision Making in the Military Health System


    mental /behavioral health , and prescriptions. TRICARE Prime enrollees are guaranteed access within time limits. Drive time to the primary care site...efficiency: concept, measurement techniques and review of hospital efficiency studies. Malaysian Journal of Public Health Medicine, 10(2), 35-43...for Resource Allocation Decision Making in the Military Health System Bastian, Nathaniel D. Center for Integrated Healthcare Delivery Systems

  18. Resource Allocation in Charter and Non-Charter Public Schools in the Appleton Area School District, Wisconsin

    Mills, Sandra R.


    Reform of public schooling has been at the forefront of the national debate over education for more than 25 years. One prominent reform initiative, school chartering, was selected for the study that examined whether a selected school district allocated comparable resources for charter and non-charter schools. The study used the Odden et al.…

  19. Going International: What We Can Learn about International Strategy, Market Entry, and Resource Allocation from the Game of Go

    Watson, Andrew; Chatterjee, Sangit


    We identify three aspects of management particularly crucial in the environment of globalization: the formulation of international strategy; entry into foreign markets; and resource allocation. We advocate the board game Go as an aid to learning management amidst globalization. Our advocacy is based on drawing links between Go and each of the…

  20. Energetic costs, underlying resource allocation patterns, and adaptive value of predator-induced life-history shifts

    Rinke, K.; Hülsmann, S.; Mooij, W.M.


    We studied costs and benefits of life history shifts of water fleas (genus Daphnia) in response to infochemicals from planktivorous fish. We applied a dynamic energy budget model to investigate the resource allocation patterns underlying the observed life history shifts and their adaptive value unde