WorldWideScience

Sample records for cloud computing utilizing

  1. Cloud Computing Utility and Applications

    Directory of Open Access Journals (Sweden)

    Pradeep Kumar Tiwari

    2011-12-01

    Full Text Available Cloud Architecture provides services on demand basis via internet (WWW services. Application design in cloud computing environment or the applications which support cloud paradigm are on demand on the basis of user requirement. Those applications provide the support on various hardware, software and other resource requirement on demand. API used in the cloud computing provide the greater advantage to provide industrial strength, where the complex reliability and scalability logic of the underlying services remains implemented and hidden in the cloud environment. Cloud Computing provide the highest utilization in terms of utilization, resource sharing, requirement gathering and utility to the other needful resources. In this paper we discuss several utility and their applications. We provide a broad discussion which is useful for cloud computing research.

  2. DIGITAL ERA: UTILIZE OF CLOUD COMPUTING TECHNOLOGY IN DIGITAL LIBRARY

    OpenAIRE

    T. RAGHUNADHA REDDY

    2012-01-01

    With the purpose of applying cloud computing to digital library, the paper initially describes cloud computing and analyzes current status of cloud computing in digital library. Then it proposes the architecture of cloud computing in digital library and summarises the application of cloud computing in digital library. Finally the author brings out the future improvement in digital library using cloud computing technology.

  3. Resource management in utility and cloud computing

    CERN Document Server

    Zhao, Han

    2013-01-01

    This SpringerBrief reviews the existing market-oriented strategies for economically managing resource allocation in distributed systems. It describes three new schemes that address cost-efficiency, user incentives, and allocation fairness with regard to different scheduling contexts. The first scheme, taking the Amazon EC2? market as a case of study, investigates the optimal resource rental planning models based on linear integer programming and stochastic optimization techniques. This model is useful to explore the interaction between the cloud infrastructure provider and the cloud resource c

  4. DIGITAL ERA: UTILIZE OF CLOUD COMPUTING TECHNOLOGY IN DIGITAL LIBRARY

    Directory of Open Access Journals (Sweden)

    T. RAGHUNADHA REDDY

    2012-09-01

    Full Text Available With the purpose of applying cloud computing to digital library, the paper initially describes cloud computing and analyzes current status of cloud computing in digital library. Then it proposes the architecture of cloud computing in digital library and summarises the application of cloud computing in digital library. Finally the author brings out the future improvement in digital library using cloud computing technology.

  5. Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities

    CERN Document Server

    Buyya, Rajkumar; Venugopal, Srikumar

    2008-01-01

    This keynote paper: presents a 21st century vision of computing; identifies various computing paradigms promising to deliver the vision of computing utilities; defines Cloud computing and provides the architecture for creating market-oriented Clouds by leveraging technologies such as VMs; provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; presents some representative Cloud platforms especially those developed in industries along with our current work towards realising market-oriented resource allocation of Clouds by leveraging the 3rd generation Aneka enterprise Grid technology; reveals our early thoughts on interconnecting Clouds for dynamically creating an atmospheric computing environment along with pointers to future community research; and concludes with the need for convergence of competing IT paradigms for delivering our 21st century vision.

  6. The Open Cloud Testbed: A Wide Area Testbed for Cloud Computing Utilizing High Performance Network Services

    CERN Document Server

    Grossman, Robert; Sabala, Michal; Bennet, Collin; Seidman, Jonathan; Mambratti, Joe

    2009-01-01

    Recently, a number of cloud platforms and services have been developed for data intensive computing, including Hadoop, Sector, CloudStore (formerly KFS), HBase, and Thrift. In order to benchmark the performance of these systems, to investigate their interoperability, and to experiment with new services based on flexible compute node and network provisioning capabilities, we have designed and implemented a large scale testbed called the Open Cloud Testbed (OCT). Currently the OCT has 120 nodes in four data centers: Baltimore, Chicago (two locations), and San Diego. In contrast to other cloud testbeds, which are in small geographic areas and which are based on commodity Internet services, the OCT is a wide area testbed and the four data centers are connected with a high performance 10Gb/s network, based on a foundation of dedicated lightpaths. This testbed can address the requirements of extremely large data streams that challenge other types of distributed infrastructure. We have also developed several utiliti...

  7. CHED Faculty Information System Utilizing Cloud Computing Infrastructure

    Directory of Open Access Journals (Sweden)

    Ronnie Besonia Santelices

    2014-05-01

    Full Text Available Higher Education Institutions (HEIs are required to submit documents to the Commission on Higher Education (CHED including faculty members’ data when applying for a new program offering. Based on the documents submitted, problems were encountered by CHED as some academic institutions submit documents of faculty members’ who are not connected with them, or faculty members’ who are connected but associated with other institutions. Proper and automated validation processes may be utilized to improve the commission’s regulation procedures on validation processes of the documents. The study proposed the CHED Faculty Information System (CHED-FIS utilizing Cloud Computing Infrastructure. Relevant information where gathered through CHED’s Memorandum Orders and by interviewing CHED personnel as the bases in developing the system. The study made use of descriptive and developmental methods of research. The software development process applied is prototyping. The study likewise utilized the Hierarchical Input Process Output (HIPO chart to describe the various components of the system and their relationships to one another during implementation. A structured analysis technique known as data flow diagram (DFDs was used and presents a graphical representation of data processes in the organization. The framework for the information systems architecture was structured using a 3 –Tier architectural model which consists of presentation, logic and data tier. For the evaluation of the system, five-point rating scale questionnaire was used, with CHED Central Office and CHED Regional Office personnel as respondents, to determine the system’s functionality, efficiency, usability, reliability, portability and security. Descriptive statistics like frequencies and weighted means were utilized to analyze and interpret the responses. The concept of CHED-FIS is composed of a computer as a tool, cloud computing infrastructure for interactions over a network and

  8. Security Risks of Cloud Computing and Its Emergence as 5th Utility Service

    Science.gov (United States)

    Ahmad, Mushtaq

    Cloud Computing is being projected by the major cloud services provider IT companies such as IBM, Google, Yahoo, Amazon and others as fifth utility where clients will have access for processing those applications and or software projects which need very high processing speed for compute intensive and huge data capacity for scientific, engineering research problems and also e- business and data content network applications. These services for different types of clients are provided under DASM-Direct Access Service Management based on virtualization of hardware, software and very high bandwidth Internet (Web 2.0) communication. The paper reviews these developments for Cloud Computing and Hardware/Software configuration of the cloud paradigm. The paper also examines the vital aspects of security risks projected by IT Industry experts, cloud clients. The paper also highlights the cloud provider's response to cloud security risks.

  9. InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services

    CERN Document Server

    Buyya, Rajkumar; Calheiros, Rodrigo N

    2010-01-01

    Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers around the world. However, existing systems do not support mechanisms and policies for dynamically coordinating load distribution among different Cloud-based data centers in order to determine optimal location for hosting application services to achieve reasonable QoS levels. Further, the Cloud computing providers are unable to predict geographic distribution of users consuming their services, hence the load coordination must happen automatically, and distribution of services must change in response to changes in the load. To counter this problem, we advocate creation of federated Cloud computing environment (InterCloud) that facilitates just-in-time, opportunistic, and scalable provisioning of application services, consistently achieving QoS targets under variable workload, resource and network conditions. The overall goal is to create a computin...

  10. CRITICAL FACTORS AFFECTING THE UTILIZATION OF CLOUD COMPUTING

    Directory of Open Access Journals (Sweden)

    Alberto Daniel Salinas Montemayor

    2014-07-01

    Full Text Available This research presets the critical factors that influence the use of cloud computing, in case studies of large and medium-sized enterprises in the metropolitan area of Monterrey.  The critical factors are found, according to literature: dependency provider; ignorance of the location, where the information, service knowledge, knowledge of laws, service offered by suppliers, is stored; cost; and information security, describing the research and development, which are significant and demonstrative in its impact.We used Cronbach's alpha to check the validity of the measurement instrument and used a linear regression method to measure the significance of the variables.  We also relied on some measuring instruments, such as Beta, R-squared, Standard Deviation, Anova, Tolerance, and Collinearity index to propose a model.

  11. Cloud Computing

    DEFF Research Database (Denmark)

    Krogh, Simon

    2013-01-01

    The second half of the 20th century has been characterized by an explosive development in information technology (Maney, Hamm, & O'Brien, 2011). Processing power, storage capacity and network bandwidth have increased exponentially, resulting in new possibilities and shifting IT paradigms. In step...... with technological changes, the paradigmatic pendulum has swung between increased centralization on one side and a focus on distributed computing that pushes IT power out to end users on the other. With the introduction of outsourcing and cloud computing, centralization in large data centers is again dominating...... the IT scene. In line with the views presented by Nicolas Carr in 2003 (Carr, 2003), it is a popular assumption that cloud computing will be the next utility (like water, electricity and gas) (Buyya, Yeo, Venugopal, Broberg, & Brandic, 2009). However, this assumption disregards the fact that most IT production...

  12. Cloud Computing

    CERN Document Server

    Mirashe, Shivaji P

    2010-01-01

    Computing as you know it is about to change, your applications and documents are going to move from the desktop into the cloud. I'm talking about cloud computing, where applications and files are hosted on a "cloud" consisting of thousands of computers and servers, all linked together and accessible via the Internet. With cloud computing, everything you do is now web based instead of being desktop based. You can access all your programs and documents from any computer that's connected to the Internet. How will cloud computing change the way you work? For one thing, you're no longer tied to a single computer. You can take your work anywhere because it's always accessible via the web. In addition, cloud computing facilitates group collaboration, as all group members can access the same programs and documents from wherever they happen to be located. Cloud computing might sound far-fetched, but chances are you're already using some cloud applications. If you're using a web-based email program, such as Gmail or Ho...

  13. Cloud Computing for radiologists.

    Science.gov (United States)

    Kharat, Amit T; Safvi, Amjad; Thind, Ss; Singh, Amarjit

    2012-07-01

    Cloud computing is a concept wherein a computer grid is created using the Internet with the sole purpose of utilizing shared resources such as computer software, hardware, on a pay-per-use model. Using Cloud computing, radiology users can efficiently manage multimodality imaging units by using the latest software and hardware without paying huge upfront costs. Cloud computing systems usually work on public, private, hybrid, or community models. Using the various components of a Cloud, such as applications, client, infrastructure, storage, services, and processing power, Cloud computing can help imaging units rapidly scale and descale operations and avoid huge spending on maintenance of costly applications and storage. Cloud computing allows flexibility in imaging. It sets free radiology from the confines of a hospital and creates a virtual mobile office. The downsides to Cloud computing involve security and privacy issues which need to be addressed to ensure the success of Cloud computing in the future.

  14. Cloud Computing

    CERN Document Server

    Antonopoulos, Nick

    2010-01-01

    Cloud computing has recently emerged as a subject of substantial industrial and academic interest, though its meaning and scope is hotly debated. For some researchers, clouds are a natural evolution towards the full commercialisation of grid systems, while others dismiss the term as a mere re-branding of existing pay-per-use technologies. From either perspective, 'cloud' is now the label of choice for accountable pay-per-use access to third party applications and computational resources on a massive scale. Clouds support patterns of less predictable resource use for applications and services a

  15. Cloud Computing

    CERN Document Server

    Baun, Christian; Nimis, Jens; Tai, Stefan

    2011-01-01

    Cloud computing is a buzz-word in today's information technology (IT) that nobody can escape. But what is really behind it? There are many interpretations of this term, but no standardized or even uniform definition. Instead, as a result of the multi-faceted viewpoints and the diverse interests expressed by the various stakeholders, cloud computing is perceived as a rather fuzzy concept. With this book, the authors deliver an overview of cloud computing architecture, services, and applications. Their aim is to bring readers up to date on this technology and thus to provide a common basis for d

  16. MADLVF: An Energy Efficient Resource Utilization Approach for Cloud Computing

    Directory of Open Access Journals (Sweden)

    J.K. Verma

    2014-06-01

    Full Text Available Last few decades have remained the witness of steeper growth in demand for higher computational power. It is merely due to shift from the industrial age to Information and Communication Technology (ICT age which was marginally the result of digital revolution. Such trend in demand caused establishment of large-scale data centers situated at geographically apart locations. These large-scale data centers consume a large amount of electrical energy which results into very high operating cost and large amount of carbon dioxide (CO2 emission due to resource underutilization. We propose MADLVF algorithm to overcome the problems such as resource underutilization, high energy consumption, and large CO2 emissions. Further, we present a comparative study between the proposed algorithm and MADRS algorithms showing proposed methodology outperforms over the existing one in terms of energy consumption and the number of VM migrations.

  17. Assessing the Determinants of Cloud Computing Services for Utilizing Health Information Systems: A Case Study

    Directory of Open Access Journals (Sweden)

    Ahmed Meri Kadhum

    2017-04-01

    Full Text Available Health information systems refer to the utilization of IT-related systems to capture, store, manage, or transmit information related to the health of individuals or the activities within the health sector. Utilizing cloud services in the healthcare sector is a flexible solution to improve the performance of an organization as it can provide numerous features such as self-service, ubiquitous network access, resource pooling, rapid elasticity, and pay-per-use pattern. A preliminary study was conducted in the Iraqi public healthcare sector to obtain preliminary data acquisition about the current situation of IT and to determine the key factors associated with the utilization of cloud computing to foster current health information systems. During the study, a total of 30 technicians and physicians from four hospitals in Iraq were invited for interview in which the researcher directed questions in a semi-structured form. The findings of the investigation concluded the key determinant factors; these include factors related to the environmental structure such as software, hardware, cost, network, and training. Other factors that were found related to the system such as compatibility, complexity, data security and privacy. These two aspects were found to influence personal factors related to the behavioural control and confirmation to utilize cloud computing services in this sector.

  18. Toward Cloud Computing Evolution

    OpenAIRE

    Susanto, Heru; Almunawar, Mohammad Nabil; Kang, Chen Chin

    2012-01-01

    -Information Technology (IT) shaped the success of organizations, giving them a solid foundation that increases both their level of efficiency as well as productivity. The computing industry is witnessing a paradigm shift in the way computing is performed worldwide. There is a growing awareness among consumers and enterprises to access their IT resources extensively through a "utility" model known as "cloud computing." Cloud computing was initially rooted in distributed grid-based computing. ...

  19. Cloud Computing (2/2)

    CERN Document Server

    CERN. Geneva

    2012-01-01

    Cloud computing, the recent years buzzword for distributed computing, continues to attract and keep the interest of both the computing and business world. These lectures aim at explaining "What is Cloud Computing?" identifying and analyzing it's characteristics, models, and applications. The lectures will explore different "Cloud definitions" given by different authors and use them to introduce the particular concepts. The main cloud models (SaaS, PaaS, IaaS), cloud types (public, private, hybrid), cloud standards and security concerns will be presented. The borders between Cloud Computing and Grid Computing, Server Virtualization, Utility Computing will be discussed and analyzed.

  20. Cloud Computing (1/2)

    CERN Document Server

    CERN. Geneva

    2012-01-01

    Cloud computing, the recent years buzzword for distributed computing, continues to attract and keep the interest of both the computing and business world. These lectures aim at explaining "What is Cloud Computing?" identifying and analyzing it's characteristics, models, and applications. The lectures will explore different "Cloud definitions" given by different authors and use them to introduce the particular concepts. The main cloud models (SaaS, PaaS, IaaS), cloud types (public, private, hybrid), cloud standards and security concerns will be presented. The borders between Cloud Computing and Grid Computing, Server Virtualization, Utility Computing will be discussed and analyzed.

  1. Optimizing User's Utility from Cloud Computing Services in a Networked Environment

    Directory of Open Access Journals (Sweden)

    Eli WEINTRAUB

    2015-10-01

    Full Text Available Cloud Computing customers are looking for the best utility for their money. Research shows that functional aspects are considered more important than service prices in customer buying decisions. Choosing the best service provider might be complicated since each provider may sell three kinds of services organized in three layers: SaaS (Software as a service, PaaS (Platform as a service and IaaS (Infrastructure as a service. This research targets the problem of optimizing consumers' utility, using conjoint analysis methodology. Providers currently offer software services as bundles belonging to the same layer, or to underlying layers. Bundling services prevent customers from splitting their service purchases between a provider of software and a different provider of the underlying layers. This research assumes that in the future will exist a free competitive market, in which consumers will be free to switch their services to different providers, eliminating the negative biases of bundling, during making their buying decisions. This research proposes a mathematical model and three possible strategies for implementation in organizations, and illustrates its advantages compared to existing utility maximization practices. Current conjoint analysis method chooses the best utility in a traditional cloud architecture in which one provider offers a bundle of all three layers. The proposed model assumes a networked cloud architecture in which a customer may choose services from any provider, building for himself the best basket of services maximizing his/her total utility. This research outlines three business models which will assist organizations shift gradually from current CC architecture to the future networked architectures, thus maximizing their utility.

  2. Cloud Computing (4)

    Institute of Scientific and Technical Information of China (English)

    Wang Bai; Xu Liutong

    2010-01-01

    @@ 8 Case Study Cloud computing is still a new phenomenon. Although many IT giants are developing their own cloud computing infrastructures,platforms, software, and services, few have really succeeded in becoming cloud computing providers.

  3. Cloud Computing Law

    CERN Document Server

    Millard, Christopher

    2013-01-01

    This book is about the legal implications of cloud computing. In essence, ‘the cloud’ is a way of delivering computing resources as a utility service via the internet. It is evolving very rapidly with substantial investments being made in infrastructure, platforms and applications, all delivered ‘as a service’. The demand for cloud resources is enormous, driven by such developments as the deployment on a vast scale of mobile apps and the rapid emergence of ‘Big Data’. Part I of this book explains what cloud computing is and how it works. Part II analyses contractual relationships between cloud service providers and their customers, as well as the complex roles of intermediaries. Drawing on primary research conducted by the Cloud Legal Project at Queen Mary University of London, cloud contracts are analysed in detail, including the appropriateness and enforceability of ‘take it or leave it’ terms of service, as well as the scope for negotiating cloud deals. Specific arrangements for public sect...

  4. Cloud Computing (1)

    Institute of Scientific and Technical Information of China (English)

    Wang Bai; Xu Liutong

    2010-01-01

    @@ Editor's Desk: Cloud computing is a topic of intense interest in the Internet field. Major IT giants have launched their own cloud computing products. This four-part lecture series will discuss cloud computing technology in the following aspects: The first part provides a brief description of the origin and characteristics of cloud computing from the users view of point; the other parts introduce typical applications of cloud computing, technically analyze the specific content within the cloud, its components, architecture and computational paradigm, compare cloud computing to other distributed computing technologies, and discuss its successful cases, commercial models, related technical and economic issues, and development trends.

  5. Cloud Computing (2)

    Institute of Scientific and Technical Information of China (English)

    Wang Bai; Xu Liutong

    2010-01-01

    @@ Editor's Desk: Cloud computing is a topic of intense interest in the Internet field. Major IT giants have launched their own cloud computing products. This four-part lecture series discusses cloud computing technology in the following aspects: The first part provided a brief description of the origin and characteristics of cloud computing from the users view of point; the other parts introduce typical applications of cloud computing, technically analyze the specific content within the cloud, its components, architecture and computational paradigm, compare cloud computing to other distributed computing technologies, and discuss its successful cases, commercial models, related technical and economic issues, and development trends.

  6. Research on cloud computing solutions

    Directory of Open Access Journals (Sweden)

    Liudvikas Kaklauskas

    2015-07-01

    Full Text Available Cloud computing can be defined as a new style of computing in which dynamically scala-ble and often virtualized resources are provided as a services over the Internet. Advantages of the cloud computing technology include cost savings, high availability, and easy scalability. Voas and Zhang adapted six phases of computing paradigms, from dummy termi-nals/mainframes, to PCs, networking computing, to grid and cloud computing. There are four types of cloud computing: public cloud, private cloud, hybrid cloud and community. The most common and well-known deployment model is Public Cloud. A Private Cloud is suited for sensitive data, where the customer is dependent on a certain degree of security.According to the different types of services offered, cloud computing can be considered to consist of three layers (services models: IaaS (infrastructure as a service, PaaS (platform as a service, SaaS (software as a service. Main cloud computing solutions: web applications, data hosting, virtualization, database clusters and terminal services. The advantage of cloud com-puting is the ability to virtualize and share resources among different applications with the objective for better server utilization and without a clustering solution, a service may fail at the moment the server crashes.DOI: 10.15181/csat.v2i2.914

  7. Cloud Computing (3)

    Institute of Scientific and Technical Information of China (English)

    Wang Bai; Xu Liutong

    2010-01-01

    @@ Editor's Desk: In the preceding two parts of this series, several aspects of cloud computing-including definition, classification, characteristics, typical applications, and service levels-were discussed. This part continues with a discussion of Cloud Computing Oopen Architecture and Market-Oriented Cloud. A comparison is made between cloud computing and other distributed computing technologies, and Google's cloud platform is analyzed to determine how distributed computing is implemented in its particular model.

  8. Cross-Cloud Testing Strategies Over Cloud Computing

    Directory of Open Access Journals (Sweden)

    Mr. Nageswararao,

    2014-06-01

    Full Text Available Cloud computing is the new paradigm to deliver all the hosted services over internet on demand. The ultimate goal of cloud computing paradigm is to realize computing as a utility. The cloud is rapidly maturing towards its goal to support a wide variety of enterprise and consumer services and real-world applications. Recently a movement towards cross cloud also called as multi-clouds or inters clouds or cloud-of-clouds has emerged which take advantage of multiple independent cloud provider offers for cloud resilience and dependability. This cross cloud represents the next logical wave in computing, enabling complex hybrid applications, cost and performance optimization, enhanced reliability, customer flexibility and lock-in avoidance. Providing testing as a service (TaaS in cross clouds become hot topics in industry. Testing heterogeneous e-commerce sites, Software as a Service solutions, and Cloud based applications is extremely challenging.

  9. Cloud Computing Quality

    Directory of Open Access Journals (Sweden)

    Anamaria Şiclovan

    2013-02-01

    Full Text Available Cloud computing was and it will be a new way of providing Internet services and computers. This calculation approach is based on many existing services, such as the Internet, grid computing, Web services. Cloud computing as a system aims to provide on demand services more acceptable as price and infrastructure. It is exactly the transition from computer to a service offered to the consumers as a product delivered online. This paper is meant to describe the quality of cloud computing services, analyzing the advantages and characteristics offered by it. It is a theoretical paper.Keywords: Cloud computing, QoS, quality of cloud computing

  10. IMPROVING RESOURCE UTILIZATION USING QoS BASED LOAD BALANCING ALGORITHM FOR MULTIPLE WORKFLOWS IN IAAS CLOUD COMPUTING ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    L. Shakkeera

    2013-06-01

    Full Text Available loud computing is the extension of parallel computing, distributed computing and grid computing. It provides secure, quick, convenient data storage and net computing services through the internet. The services are available to user in pay per-use-on-demand model. The main aim of using resources from cloud is to reduce the cost and to increase the performance in terms of request response time. Thus, optimizing the resource usage through efficient load balancing strategy is crucial. The main aim of this paper is to develop and implement an Optimized Load balancing algorithm in IaaS virtual cloud environment that aims to utilize the virtual cloud resources efficiently. It minimizes the cost of the applications by effectively using cloud resources and identifies the virtual cloud resources that must be suitable for all the applications. The web application is created with many modules. These modules are considered as tasks and these tasks are submitted to the load balancing server. The server which consists our load balancing policies redirect the tasks to the corresponding virtual machines created by KVM virtual machine manager as per the load balancing algorithm. If the size of the database inside the machine exceeds then the load balancing algorithm uses the other virtual machines for further incoming request. The load balancing strategy are evaluated for various QoS performance metrics like cost, average execution times, throughput, CPU usage, disk space, memory usage, network transmission and reception rate, resource utilization rate and scheduling success rate for the number of virtual machines and it improves the scalability among resources using load balancing techniques.

  11. Secure cloud computing

    CERN Document Server

    Jajodia, Sushil; Samarati, Pierangela; Singhal, Anoop; Swarup, Vipin; Wang, Cliff

    2014-01-01

    This book presents a range of cloud computing security challenges and promising solution paths. The first two chapters focus on practical considerations of cloud computing. In Chapter 1, Chandramouli, Iorga, and Chokani describe the evolution of cloud computing and the current state of practice, followed by the challenges of cryptographic key management in the cloud. In Chapter 2, Chen and Sion present a dollar cost model of cloud computing and explore the economic viability of cloud computing with and without security mechanisms involving cryptographic mechanisms. The next two chapters addres

  12. Cloud Computing Bible

    CERN Document Server

    Sosinsky, Barrie

    2010-01-01

    The complete reference guide to the hot technology of cloud computingIts potential for lowering IT costs makes cloud computing a major force for both IT vendors and users; it is expected to gain momentum rapidly with the launch of Office Web Apps later this year. Because cloud computing involves various technologies, protocols, platforms, and infrastructure elements, this comprehensive reference is just what you need if you'll be using or implementing cloud computing.Cloud computing offers significant cost savings by eliminating upfront expenses for hardware and software; its growing popularit

  13. Cloud Computing Technologies

    Directory of Open Access Journals (Sweden)

    Sean Carlin

    2012-06-01

    Full Text Available This paper outlines the key characteristics that cloud computing technologies possess and illustrates the cloud computing stack containing the three essential services (SaaS, PaaS and IaaS that have come to define the technology and its delivery model. The underlying virtualization technologies that make cloud computing possible are also identified and explained. The various challenges that face cloud computing technologies today are investigated and discussed. The future of cloud computing technologies along with its various applications and trends are also explored, giving a brief outlook of where and how the technology will progress into the future.

  14. Community Cloud Computing

    CERN Document Server

    Marinos, Alexandros

    2009-01-01

    Cloud Computing is rising fast, with its data centres growing at an unprecedented rate. However, this has come with concerns over privacy, efficiency at the expense of resilience, and environmental sustainability, because of the dependence on Cloud vendors such as Google, Amazon and Microsoft. Our response is an alternative model for the Cloud conceptualisation, providing a paradigm for Clouds in the community, utilising networked personal computers for liberation from the centralised vendor model. Community Cloud Computing (C3) offers an alternative architecture, created by combing the Cloud with paradigms from Grid Computing, principles from Digital Ecosystems, and sustainability from Green Computing, while remaining true to the original vision of the Internet. It is more technically challenging than Cloud Computing, having to deal with distributed computing issues, including heterogeneous nodes, varying quality of service, and additional security constraints. However, these are not insurmountable challenge...

  15. Cloud Computing Security: A Survey

    Directory of Open Access Journals (Sweden)

    Issa M. Khalil

    2014-02-01

    Full Text Available Cloud computing is an emerging technology paradigm that migrates current technological and computing concepts into utility-like solutions similar to electricity and water systems. Clouds bring out a wide range of benefits including configurable computing resources, economic savings, and service flexibility. However, security and privacy concerns are shown to be the primary obstacles to a wide adoption of clouds. The new concepts that clouds introduce, such as multi-tenancy, resource sharing and outsourcing, create new challenges to the security community. Addressing these challenges requires, in addition to the ability to cultivate and tune the security measures developed for traditional computing systems, proposing new security policies, models, and protocols to address the unique cloud security challenges. In this work, we provide a comprehensive study of cloud computing security and privacy concerns. We identify cloud vulnerabilities, classify known security threats and attacks, and present the state-of-the-art practices to control the vulnerabilities, neutralize the threats, and calibrate the attacks. Additionally, we investigate and identify the limitations of the current solutions and provide insights of the future security perspectives. Finally, we provide a cloud security framework in which we present the various lines of defense and identify the dependency levels among them. We identify 28 cloud security threats which we classify into five categories. We also present nine general cloud attacks along with various attack incidents, and provide effectiveness analysis of the proposed countermeasures.

  16. A Survey on Cloud Computing

    Directory of Open Access Journals (Sweden)

    Poulami dalapati

    2013-06-01

    Full Text Available Cloud Computing is a very recent term which is mainly based on distributed computing, virtualization, utility computing, networking and web and software services. This kind of service oriented architecture reduces information technology overhead for end user, total cost of ownership, supports flexibility and on-demand services.

  17. Cloud computing strategies

    CERN Document Server

    Chorafas, Dimitris N

    2011-01-01

    A guide to managing cloud projects, Cloud Computing Strategies provides the understanding required to evaluate the technology and determine how it can be best applied to improve business and enhance your overall corporate strategy. Based on extensive research, it examines the opportunities and challenges that loom in the cloud. It explains exactly what cloud computing is, what it has to offer, and calls attention to the important issues management needs to consider before passing the point of no return regarding financial commitments.

  18. Core of Cloud Computing

    Directory of Open Access Journals (Sweden)

    Prof. C.P.Chandgude

    2017-04-01

    Full Text Available Advancement in computing facilities marks back from 1960’s with introduction of mainframes. Each of the computing has one or the other issues, so keeping this in mind cloud computing was introduced. Cloud computing has its roots in older technologies such as hardware virtualization, distributed computing, internet technologies, and autonomic computing. Cloud computing can be described with two models, one is service model and second is deployment model. While providing several services, cloud management’s primary role is resource provisioning. While there are several such benefits of cloud computing, there are challenges in adopting public clouds because of dependency on infrastructure that is shared by many enterprises. In this paper, we present core knowledge of cloud computing, highlighting its key concepts, deployment models, service models, benefits as well as security issues related to cloud data. The aim of this paper is to provide a better understanding of the cloud computing and to identify important research directions in this field

  19. Cloud Computing Quality

    Directory of Open Access Journals (Sweden)

    Anamaria Şiclovan

    2013-02-01

    Full Text Available

    Cloud computing was and it will be a new way of providing Internet services and computers. This calculation approach is based on many existing services, such as the Internet, grid computing, Web services. Cloud computing as a system aims to provide on demand services more acceptable as price and infrastructure. It is exactly the transition from computer to a service offered to the consumers as a product delivered online. This paper is meant to describe the quality of cloud computing services, analyzing the advantages and characteristics offered by it. It is a theoretical paper.

    Keywords: Cloud computing, QoS, quality of cloud computing

  20. Cloud Computing: An Overview

    Science.gov (United States)

    Qian, Ling; Luo, Zhiguo; Du, Yujian; Guo, Leitao

    In order to support the maximum number of user and elastic service with the minimum resource, the Internet service provider invented the cloud computing. within a few years, emerging cloud computing has became the hottest technology. From the publication of core papers by Google since 2003 to the commercialization of Amazon EC2 in 2006, and to the service offering of AT&T Synaptic Hosting, the cloud computing has been evolved from internal IT system to public service, from cost-saving tools to revenue generator, and from ISP to telecom. This paper introduces the concept, history, pros and cons of cloud computing as well as the value chain and standardization effort.

  1. Cloud Computing Explained

    Science.gov (United States)

    Metz, Rosalyn

    2010-01-01

    While many talk about the cloud, few actually understand it. Three organizations' definitions come to the forefront when defining the cloud: Gartner, Forrester, and the National Institutes of Standards and Technology (NIST). Although both Gartner and Forrester provide definitions of cloud computing, the NIST definition is concise and uses…

  2. Cloud Computing Explained

    Science.gov (United States)

    Metz, Rosalyn

    2010-01-01

    While many talk about the cloud, few actually understand it. Three organizations' definitions come to the forefront when defining the cloud: Gartner, Forrester, and the National Institutes of Standards and Technology (NIST). Although both Gartner and Forrester provide definitions of cloud computing, the NIST definition is concise and uses…

  3. Computer animation of clouds

    Energy Technology Data Exchange (ETDEWEB)

    Max, N.

    1994-01-28

    Computer animation of outdoor scenes is enhanced by realistic clouds. I will discuss several different modeling and rendering schemes for clouds, and show how they evolved in my animation work. These include transparency-textured clouds on a 2-D plane, smooth shaded or textured 3-D clouds surfaces, and 3-D volume rendering. For the volume rendering, I will present various illumination schemes, including the density emitter, single scattering, and multiple scattering models.

  4. Computer animation of clouds

    Energy Technology Data Exchange (ETDEWEB)

    Max, N.

    1994-01-28

    Computer animation of outdoor scenes is enhanced by realistic clouds. I will discuss several different modeling and rendering schemes for clouds, and show how they evolved in my animation work. These include transparency-textured clouds on a 2-D plane, smooth shaded or textured 3-D clouds surfaces, and 3-D volume rendering. For the volume rendering, I will present various illumination schemes, including the density emitter, single scattering, and multiple scattering models.

  5. Encyclopedia of cloud computing

    CERN Document Server

    Bojanova, Irena

    2016-01-01

    The Encyclopedia of Cloud Computing provides IT professionals, educators, researchers and students with a compendium of cloud computing knowledge. Authored by a spectrum of subject matter experts in industry and academia, this unique publication, in a single volume, covers a wide range of cloud computing topics, including technological trends and developments, research opportunities, best practices, standards, and cloud adoption. Providing multiple perspectives, it also addresses questions that stakeholders might have in the context of development, operation, management, and use of clouds. Furthermore, it examines cloud computing's impact now and in the future. The encyclopedia presents 56 chapters logically organized into 10 sections. Each chapter covers a major topic/area with cross-references to other chapters and contains tables, illustrations, side-bars as appropriate. Furthermore, each chapter presents its summary at the beginning and backend material, references and additional resources for further i...

  6. CLOUD COMPUTING AND SECURITY

    Directory of Open Access Journals (Sweden)

    Asharani Shinde

    2015-10-01

    Full Text Available This document gives an insight into Cloud Computing giving an overview of key features as well as the detail study of exact working of Cloud computing. Cloud Computing lets you access all your application and documents from anywhere in the world, freeing you from the confines of the desktop thus making it easier for group members in different locations to collaborate. Certainly cloud computing can bring about strategic, transformational and even revolutionary benefits fundamental to future enterprise computing but it also offers immediate and pragmatic opportunities to improve efficiencies today while cost effectively and systematically setting the stage for the strategic change. As this technology makes the computing, sharing, networking easy and interesting, we should think about the security and privacy of information too. Thus the key points we are going to be discussed are what is cloud, what are its key features, current applications, future status and the security issues and the possible solutions.

  7. Research Challenges for Enterprise Cloud Computing

    CERN Document Server

    Khajeh-Hosseini, Ali; Sriram, Ilango

    2010-01-01

    Cloud computing represents a shift away from computing as a product that is purchased, to computing as a service that is delivered to consumers over the internet from large-scale data centers - or "clouds". This paper discusses some of the research challenges for cloud computing from an enterprise or organizational perspective, and puts them in context by reviewing the existing body of literature in cloud computing. Various research challenges relating to the following topics are discussed: the organizational changes brought about by cloud computing; the economic and organizational implications of its utility billing model; the security, legal and privacy issues that cloud computing raises. It is important to highlight these research challenges because cloud computing is not simply about a technological improvement of data centers but a fundamental change in how IT is provisioned and used. This type of research has the potential to influence wider adoption of cloud computing in enterprise, and in the consumer...

  8. CLOUD COMPUTING SECURITY

    Directory of Open Access Journals (Sweden)

    DANISH JAMIL,

    2011-04-01

    Full Text Available It is no secret that cloud computing is becoming more and more popular today and is ever increasing inpopularity with large companies as they share valuable resources in a cost effective way. Due to this increasingdemand for more clouds there is an ever growing threat of security becoming a major issue. This paper shalllook at ways in which security threats can be a danger to cloud computing and how they can be avoided.

  9. Cloud Computing-Software as Service

    Directory of Open Access Journals (Sweden)

    Gurudatt Kulkarni

    2012-01-01

    Full Text Available Cloud Computing,” to put it simply, means “Internet Computing.” The Internet is commonly visualized as clouds; hence the term “cloud computing” for computation done through the Internet. With Cloud Computing users can access database resources via the Internet from anywhere, for as long  as they need, without worrying about any maintenance or management  of actual resources. Besides, databases in cloud are very dynamic and scalable. Cloud computing is unlike grid computing, utility computing, or autonomic computing. In fact, it is a very independent platform in terms of computing. The best Example of cloud   computing is Google Apps where any application can be accessed using a browser and it can be deployed on thousands of computer through the Internet.

  10. Academic Training Lecture Regular Programme: Cloud Computing

    CERN Multimedia

    2012-01-01

    Cloud Computing (1/2), by Belmiro Rodrigues Moreira (LIP Laboratorio de Instrumentacao e Fisica Experimental de Part).   Wednesday, May 30, 2012 from 11:00 to 12:00 (Europe/Zurich) at CERN ( 500-1-001 - Main Auditorium ) Cloud computing, the recent years buzzword for distributed computing, continues to attract and keep the interest of both the computing and business world. These lectures aim at explaining "What is Cloud Computing?" identifying and analyzing it's characteristics, models, and applications. The lectures will explore different "Cloud definitions" given by different authors and use them to introduce the particular concepts. The main cloud models (SaaS, PaaS, IaaS), cloud types (public, private, hybrid), cloud standards and security concerns will be presented. The borders between Cloud Computing and Grid Computing, Server Virtualization, Utility Computing will be discussed and analyzed.

  11. CLOUD COMPUTING SECURITY

    Directory of Open Access Journals (Sweden)

    Ştefan IOVAN

    2016-05-01

    Full Text Available Cloud computing reprentes the software applications offered as a service online, but also the software and hardware components from the data center.In the case of wide offerd services for any type of client, we are dealing with a public cloud. In the other case, in wich a cloud is exclusively available for an organization and is not available to the open public, this is consider a private cloud [1]. There is also a third type, called hibrid in which case an user or an organization might use both services available in the public and private cloud. One of the main challenges of cloud computing are to build the trust and ofer information privacy in every aspect of service offerd by cloud computingle. The variety of existing standards, just like the lack of clarity in sustenability certificationis not a real help in building trust. Also appear some questions marks regarding the efficiency of traditionsecurity means that are applied in the cloud domain. Beside the economic and technology advantages offered by cloud, also are some advantages in security area if the information is migrated to cloud. Shared resources available in cloud includes the survey, use of the "best practices" and technology for advance security level, above all the solutions offered by the majority of medium and small businesses, big companies and even some guvermental organizations [2].

  12. Cloud computing security.

    Energy Technology Data Exchange (ETDEWEB)

    Shin, Dongwan; Claycomb, William R.; Urias, Vincent E.

    2010-10-01

    Cloud computing is a paradigm rapidly being embraced by government and industry as a solution for cost-savings, scalability, and collaboration. While a multitude of applications and services are available commercially for cloud-based solutions, research in this area has yet to fully embrace the full spectrum of potential challenges facing cloud computing. This tutorial aims to provide researchers with a fundamental understanding of cloud computing, with the goals of identifying a broad range of potential research topics, and inspiring a new surge in research to address current issues. We will also discuss real implementations of research-oriented cloud computing systems for both academia and government, including configuration options, hardware issues, challenges, and solutions.

  13. Insight into the Utilization of Cloud and Mobile Computing in a ...

    African Journals Online (AJOL)

    PROF. OLIVER OSUAGWA

    2015-12-01

    Dec 1, 2015 ... more storage devices in-house. But before you ... predefined combination of OS and application servers, such .... smart devices our dependence on cloud storage and ..... The 4G services and now anticipated 5G services will ...

  14. Security Problems in Cloud Computing

    OpenAIRE

    Rola Motawie; Mahmoud M. El-Khouly; Samir Abou El-Seoud

    2016-01-01

    Cloud is a pool of computing resources which are distributed among cloud users. Cloud computing has many benefits like scalability, flexibility, cost savings, reliability, maintenance and mobile accessibility. Since cloud-computing technology is growing day by day, it comes with many security problems. Securing the data in the cloud environment is most critical challenges which act as a barrier when implementing the cloud. There are many new concepts that cloud introduces, such as resource sh...

  15. Technical Challenges and Lessons from the Migration of the GLOBE Data and Information System to Utilize Cloud Computing Service

    Science.gov (United States)

    Moses, John F.; Memarsadeghi, Nargess; Overoye, David; Littlefield, Brain

    2017-01-01

    The Global Learning and Observation to Benefit the Environment (GLOBE) Data and Information System supports an international science and education program with capabilities to accept local environment observations, archive, display and visualize them along with global satellite observations. Since its inception twenty years ago, the Web and database system has been upgraded periodically to accommodate the changes in technology and the steady growth of GLOBEs education community and collection of observations. Recently, near the end-of-life of the system hardware, new commercial computer platform options were explored and a decision made to utilize Cloud services. Now the GLOBE DIS has been fully deployed and maintained using Amazon Cloud services for over two years now. This paper reviews the early risks, actual challenges, and some unexpected findings as a result of the GLOBE DIS migration. We describe the plans, cost drivers and estimates, highlight adjustments that were made and suggest improvements. We present the trade studies for provisioning, for load balancing, networks, processing, storage, as well as production, staging and backup systems. We outline the migration teams skills and required level of effort for transition, and resulting changes in the overall maintenance and operations activities. Examples include incremental adjustments to processing capacity and frequency of backups, and efforts previously expended on hardware maintenance that were refocused onto application-specific enhancements.

  16. Technical Challenges and Lessons from the Migration of the GLOBE Data and Information System to Utilize Cloud Computing Service

    Science.gov (United States)

    Moses, J. F.; Memarsadeghi, N.; Overoye, D.; Littlefield, B.

    2016-12-01

    The Global Learning and Observation to Benefit the Environment (GLOBE) Data and Information System supports an international science and education program with capabilities to accept local environment observations, archive, display and visualize them along with global satellite observations. Since its inception twenty years ago, the Web and database system has been upgraded periodically to accommodate the changes in technology and the steady growth of GLOBE's education community and collection of observations. Recently, near the end-of-life of the system hardware, new commercial computer platform options were explored and a decision made to utilize Cloud services. Now the GLOBE DIS has been fully deployed and maintained using Amazon Cloud services for over two years now. This paper reviews the early risks, actual challenges, and some unexpected findings as a result of the GLOBE DIS migration. We describe the plans, cost drivers and estimates, highlight adjustments that were made and suggest improvements. We present the trade studies for provisioning, for load balancing, networks, processing , storage, as well as production, staging and backup systems. We outline the migration team's skills and required level of effort for transition, and resulting changes in the overall maintenance and operations activities. Examples include incremental adjustments to processing capacity and frequency of backups, and efforts previously expended on hardware maintenance that were refocused onto application-specific enhancements.

  17. Cloud computing basics

    CERN Document Server

    Srinivasan, S

    2014-01-01

    Cloud Computing Basics covers the main aspects of this fast moving technology so that both practitioners and students will be able to understand cloud computing. The author highlights the key aspects of this technology that a potential user might want to investigate before deciding to adopt this service. This book explains how cloud services can be used to augment existing services such as storage, backup and recovery. Addressing the details on how cloud security works and what the users must be prepared for when they move their data to the cloud. Also this book discusses how businesses could prepare for compliance with the laws as well as industry standards such as the Payment Card Industry.

  18. Cloud Computing Services Accounting

    Directory of Open Access Journals (Sweden)

    Igor Ruiz-Agundez

    2012-06-01

    Full Text Available Cloud computing provides a new promising parading to offer services. It brings the opportunity to develop new business models in the Internet. Classic accounting solutions fail to full fill the new requirements of these services due to their structural design. To understand these new constrains, we study the different actors and processes that interact in the Internet Economics. Specifically, we focus on cloud computing introducing a methodology that allows the deployment of cloud services. Further, we present an Infrastructure as a Service (IaaS use case that applies the proposed system.

  19. Cloud computing basics for librarians.

    Science.gov (United States)

    Hoy, Matthew B

    2012-01-01

    "Cloud computing" is the name for the recent trend of moving software and computing resources to an online, shared-service model. This article briefly defines cloud computing, discusses different models, explores the advantages and disadvantages, and describes some of the ways cloud computing can be used in libraries. Examples of cloud services are included at the end of the article.

  20. CLOUD COMPUTING TECHNOLOGY TRENDS

    Directory of Open Access Journals (Sweden)

    Cristian IVANUS

    2014-05-01

    Full Text Available Cloud computing has been a tremendous innovation, through which applications became available online, accessible through an Internet connection and using any computing device (computer, smartphone or tablet. According to one of the most recent studies conducted in 2012 by Everest Group and Cloud Connect, 57% of companies said they already use SaaS application (Software as a Service, and 38% reported using standard tools PaaS (Platform as a Service. However, in the most cases, the users of these solutions highlighted the fact that one of the main obstacles in the development of this technology is the fact that, in cloud, the application is not available without an Internet connection. The new challenge of the cloud system has become now the offline, specifically accessing SaaS applications without being connected to the Internet. This topic is directly related to user productivity within companies as productivity growth is one of the key promises of cloud computing system applications transformation. The aim of this paper is the presentation of some important aspects related to the offline cloud system and regulatory trends in the European Union (EU.

  1. Cloud Computing For Microfinances

    CERN Document Server

    V, Suma; M, Vaidehi; Nair, T R Gopalakrishnan

    2012-01-01

    Evolution of Science and Engineering has led to the growth of several commercial applications. The wide spread implementation of commercial based applications has in turn directed the emergence of advanced technologies such as cloud computing. India has well proven itself as a potential hub for advanced technologies including cloud based industrial market. Microfinance system has emerged out as a panacea to Indian economy since the population encompasses of people who come under poverty and below poverty index. However, one of the key challenges in successful operation of microfinance system in India has given rise to integration of financial services using sophisticated cloud computing model. This paper, therefore propose a fundamental cloud-based microfinance model in order to reduce high transaction risks involved during microfinance operations in an inexpensive and efficient manner.

  2. Taxonomy of cloud computing services

    NARCIS (Netherlands)

    Hoefer, C.N.; Karagiannis, G.

    2010-01-01

    Cloud computing is a highly discussed topic, and many big players of the software industry are entering the development of cloud services. Several companies want to explore the possibilities and benefits of cloud computing, but with the amount of cloud computing services increasing quickly, the need

  3. Taxonomy of cloud computing services

    NARCIS (Netherlands)

    Hoefer, C.N.; Karagiannis, Georgios

    2010-01-01

    Cloud computing is a highly discussed topic, and many big players of the software industry are entering the development of cloud services. Several companies want to explore the possibilities and benefits of cloud computing, but with the amount of cloud computing services increasing quickly, the need

  4. RISK MANAGEMENT FRAMEWORKS FOR CLOUD COMPUTING: A CRITICAL REVIEW

    OpenAIRE

    Mohammad Alnuem2

    2016-01-01

    Cloud computing technology has experienced exponential growth over the past few years. It provides many advantages for both individuals and organizations. However, at the same time, many issues have arisen due to the vast growth of cloud computing. Organizations often have concerns about the migration and utilization of cloud computing due to the loss of control over their outsourced resources and cloud computing is vulnerable to risks. Thus, a cloud provider needs to manage the cloud comp...

  5. Security Architecture of Cloud Computing

    Directory of Open Access Journals (Sweden)

    V.KRISHNA REDDY

    2011-09-01

    Full Text Available The Cloud Computing offers service over internet with dynamically scalable resources. Cloud Computing services provides benefits to the users in terms of cost and ease of use. Cloud Computing services need to address the security during the transmission of sensitive data and critical applications to shared and public cloud environments. The cloud environments are scaling large for data processing and storage needs. Cloud computing environment have various advantages as well as disadvantages on the data security of service consumers. This paper aims to emphasize the main security issues existing in cloud computing environments. The security issues at various levels of cloud computing environment is identified in this paper and categorized based on cloud computing architecture. This paper focuses on the usage of Cloud services and security issues to build these cross-domain Internet-connected collaborations.

  6. Computing in the Clouds

    Science.gov (United States)

    Johnson, Doug

    2010-01-01

    Web-based applications offer teachers, students, and school districts a convenient way to accomplish a wide range of tasks, from accounting to word processing, for free. Cloud computing has the potential to offer staff and students better services at a lower cost than the technology deployment models they're using now. Saving money and improving…

  7. CLOUD COMPUTING SECURITY ISSUES

    Directory of Open Access Journals (Sweden)

    Florin OGIGAU-NEAMTIU

    2012-01-01

    Full Text Available The term “cloud computing” has been in the spotlights of IT specialists the last years because of its potential to transform this industry. The promised benefits have determined companies to invest great sums of money in researching and developing this domain and great steps have been made towards implementing this technology. Managers have traditionally viewed IT as difficult and expensive and the promise of cloud computing leads many to think that IT will now be easy and cheap. The reality is that cloud computing has simplified some technical aspects of building computer systems, but the myriad challenges facing IT environment still remain. Organizations which consider adopting cloud based services must also understand the many major problems of information policy, including issues of privacy, security, reliability, access, and regulation. The goal of this article is to identify the main security issues and to draw the attention of both decision makers and users to the potential risks of moving data into “the cloud”.

  8. Security Dynamics of Cloud Computing

    OpenAIRE

    Khaled M. Khan

    2009-01-01

    This paper explores various dimensions of cloud computing security. It argues that security concerns of cloud computing need to be addressed from the perspective of individual stakeholder. Security focuses of cloud computing are essentially different in terms of its characteristics and business model. Conventional way of viewing as well as addressing security such as ‘bolting-in’ on the top of cloud computing may not work well. The paper attempts to portray the security spectrum necessary for...

  9. The Basics of Cloud Computing

    Science.gov (United States)

    Kaestner, Rich

    2012-01-01

    Most school business officials have heard the term "cloud computing" bandied about and may have some idea of what the term means. In fact, they likely already leverage a cloud-computing solution somewhere within their district. But what does cloud computing really mean? This brief article puts a bit of definition behind the term and helps one…

  10. The Basics of Cloud Computing

    Science.gov (United States)

    Kaestner, Rich

    2012-01-01

    Most school business officials have heard the term "cloud computing" bandied about and may have some idea of what the term means. In fact, they likely already leverage a cloud-computing solution somewhere within their district. But what does cloud computing really mean? This brief article puts a bit of definition behind the term and helps one…

  11. Exploiting Virtualization and Cloud Computing in ATLAS

    Science.gov (United States)

    Harald Barreiro Megino, Fernando; Benjamin, Doug; De, Kaushik; Gable, Ian; Hendrix, Val; Panitkin, Sergey; Paterson, Michael; De Silva, Asoka; van der Ster, Daniel; Taylor, Ryan; Vitillo, Roberto A.; Walker, Rod

    2012-12-01

    The ATLAS Computing Model was designed around the concept of grid computing; since the start of data-taking, this model has proven very successful in the federated operation of more than one hundred Worldwide LHC Computing Grid (WLCG) sites for offline data distribution, storage, processing and analysis. However, new paradigms in computing, namely virtualization and cloud computing, present improved strategies for managing and provisioning IT resources that could allow ATLAS to more flexibly adapt and scale its storage and processing workloads on varied underlying resources. In particular, ATLAS is developing a “grid-of-clouds” infrastructure in order to utilize WLCG sites that make resources available via a cloud API. This work will present the current status of the Virtualization and Cloud Computing R&D project in ATLAS Distributed Computing. First, strategies for deploying PanDA queues on cloud sites will be discussed, including the introduction of a “cloud factory” for managing cloud VM instances. Next, performance results when running on virtualized/cloud resources at CERN LxCloud, StratusLab, and elsewhere will be presented. Finally, we will present the ATLAS strategies for exploiting cloud-based storage, including remote XROOTD access to input data, management of EC2-based files, and the deployment of cloud-resident LCG storage elements.

  12. ORAT FOR GREEN CLOUD COMPUTING

    Directory of Open Access Journals (Sweden)

    K.L.Giridas

    2012-10-01

    Full Text Available As the IT trade progress towards game-changing expertise, a cloud Eco-system is gradually increasing in the country with expertise corporation ramping up employing and guiding for cloud computing. An accomplishment of green IT is probable to assist an organization in several ways like operating cost, stakeholder value, sustainability, employee morale and so on. In this paper, we propose an optimal resource allocation method for cloud computing environments. This paper progress a resource allocation representation of green cloud computing environments, considering both bandwidth and processing capability, allocated concurrently to every service request and returned it on an hourly basis. The owed resources are committed to every service request. It is established that, by simulationevaluation, the proposed ORAT method can diminish the request loss possibility and therefore, decrease the total resource obligatory, compared with the predictable allocation method. Various performancecharacteristics are compared to estimate the performance of the proposed ORAT in terms of processing ability, resource utilization, and bandwidth.

  13. Security Problems in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Rola Motawie

    2016-12-01

    Full Text Available Cloud is a pool of computing resources which are distributed among cloud users. Cloud computing has many benefits like scalability, flexibility, cost savings, reliability, maintenance and mobile accessibility. Since cloud-computing technology is growing day by day, it comes with many security problems. Securing the data in the cloud environment is most critical challenges which act as a barrier when implementing the cloud. There are many new concepts that cloud introduces, such as resource sharing, multi-tenancy, and outsourcing, create new challenges for the security community. In this work, we provide a comparable study of cloud computing privacy and security concerns. We identify and classify known security threats, cloud vulnerabilities, and attacks.

  14. Cloud Computing dan Dampaknya Terhadap Bisnis

    Directory of Open Access Journals (Sweden)

    James Tandy

    2013-12-01

    Full Text Available The purpose of this paper is to provide an overview of cloud computing and its development as well as the advantages and disadvantages of cloud computing implementation at some companies. Some literature studies from journals, textbooks and internet sources are discussed. Based on these searches it is known that the cloud computing as a technology that utilizes internet services uses a central server to the virtual nature of data and application maintenance purposes. The existence of Cloud Computing itself causes a change in the way thetechnology information system works at an company. Security and data storage systems have become important factors for the company.Cloud Computing technology provides a great advantage for most enterprises.

  15. Using cloud computing infrastructure with CloudBioLinux, CloudMan, and Galaxy.

    Science.gov (United States)

    Afgan, Enis; Chapman, Brad; Jadan, Margita; Franke, Vedran; Taylor, James

    2012-06-01

    Cloud computing has revolutionized availability and access to computing and storage resources, making it possible to provision a large computational infrastructure with only a few clicks in a Web browser. However, those resources are typically provided in the form of low-level infrastructure components that need to be procured and configured before use. In this unit, we demonstrate how to utilize cloud computing resources to perform open-ended bioinformatic analyses, with fully automated management of the underlying cloud infrastructure. By combining three projects, CloudBioLinux, CloudMan, and Galaxy, into a cohesive unit, we have enabled researchers to gain access to more than 100 preconfigured bioinformatics tools and gigabytes of reference genomes on top of the flexible cloud computing infrastructure. The protocol demonstrates how to set up the available infrastructure and how to use the tools via a graphical desktop interface, a parallel command-line interface, and the Web-based Galaxy interface.

  16. Growing Cloud Computing Efficiency

    Directory of Open Access Journals (Sweden)

    Dr. Mohamed F. AlAjmi, Dr. Arun Sharma, Shakir Khan

    2012-05-01

    Full Text Available Cloud computing is basically altering the expectation for how and when computing, storage and networking assets should be allocated, managed and devoted. End-users are progressively more sensitive in response time of services they ingest. Service Developers wish for the Service Providers to make sure or give the ability for dynamically assigning and managing resources in respond to alter the demand patterns in real-time. Ultimately, Service Providers are under anxiety to build their infrastructure to facilitate real-time end-to-end visibility and energetic resource management with well grained control to decrease total cost of tenure for improving quickness. What is required to rethink of the underlying operating system and management infrastructure to put up the on-going renovation of data centre from the traditional server-centric architecture model to a cloud or network centric model? This paper projects and describes a indication model for a network centric data centre infrastructure management heap that make use of it and validates key ideas that have enabled dynamism, the quality of being scalable, reliability and security in the telecommunication industry to the computing engineering. Finally, the paper will explain a proof of concept classification that was implemented to show how dynamic resource management can be enforced to enable real-time service guarantee for network centric data centre architecture.

  17. Energy Consumption in Cloud Computing Data Centers

    Directory of Open Access Journals (Sweden)

    Uchechukwu Awada

    2014-06-01

    Full Text Available The implementation of cloud computing has attracted computing as a utility and enables penetrative applications from scientific, consumer and business domains. However, this implementation faces tremendous energy consumption, carbon dioxide emission and associated costs concerns. With energy consumption becoming key issue for the operation and maintenance of cloud datacenters, cloud computing providers are becoming profoundly concerned.  In this paper, we present formulations and solutions for Green Cloud Environments (GCE to minimize its environmental impact and energy consumption under new models by considering static and dynamic portions of cloud components. Our proposed methodology captures cloud computing data centers and presents a generic model for them. To implement this objective, an in-depth knowledge of energy consumption patterns in cloud environment is necessary. We investigate energy consumption patterns and show that by applying suitable optimization policies directed through our energy consumption models, it is possible to save 20% of energy consumption in cloud data centers. Our research results can be integrated into cloud computing systems to monitor energy consumption and support static and dynamic system level-optimization.

  18. Studi Perbandingan Layanan Cloud Computing

    Directory of Open Access Journals (Sweden)

    Afdhal Afdhal

    2014-03-01

    Full Text Available In the past few years, cloud computing has became a dominant topic in the IT area. Cloud computing offers hardware, infrastructure, platform and applications without requiring end-users knowledge of the physical location and the configuration of providers who deliver the services. It has been a good solution to increase reliability, reduce computing cost, and make opportunities to IT industries to get more advantages. The purpose of this article is to present a better understanding of cloud delivery service, correlation and inter-dependency. This article compares and contrasts the different levels of delivery services and the development models, identify issues, and future directions on cloud computing. The end-users comprehension of cloud computing delivery service classification will equip them with knowledge to determine and decide which business model that will be chosen and adopted securely and comfortably. The last part of this article provides several recommendations for cloud computing service providers and end-users.

  19. An Approach to Ad hoc Cloud Computing

    CERN Document Server

    Kirby, Graham; Macdonald, Angus; Fernandes, Alvaro

    2010-01-01

    We consider how underused computing resources within an enterprise may be harnessed to improve utilization and create an elastic computing infrastructure. Most current cloud provision involves a data center model, in which clusters of machines are dedicated to running cloud infrastructure software. We propose an additional model, the ad hoc cloud, in which infrastructure software is distributed over resources harvested from machines already in existence within an enterprise. In contrast to the data center cloud model, resource levels are not established a priori, nor are resources dedicated exclusively to the cloud while in use. A participating machine is not dedicated to the cloud, but has some other primary purpose such as running interactive processes for a particular user. We outline the major implementation challenges and one approach to tackling them.

  20. The Future of Cloud Computing

    Directory of Open Access Journals (Sweden)

    Anamaroa SIclovan

    2011-12-01

    Full Text Available

    Cloud computing was and it will be a new way of providing Internet services and computers. This calculation approach is based on many existing services, such as the Internet, grid computing, Web services. Cloud computing as a system aims to provide on demand services more acceptable as price and infrastructure. It is exactly the transition from computer to a service offered
    to the consumers as a product delivered online. This represents an advantage for the organization both regarding the cost and the opportunity for the new business. This paper presents the future perspectives in cloud computing. The paper presents some issues of the cloud computing paradigm. It is a theoretical paper.

    Keywords: Cloud Computing, Pay-per-use

  1. The Future of Cloud Computing

    Directory of Open Access Journals (Sweden)

    Anamaroa SIclovan

    2011-12-01

    Full Text Available Cloud computing was and it will be a new way of providing Internet services and computers. This calculation approach is based on many existing services, such as the Internet, grid computing, Web services. Cloud computing as a system aims to provide on demand services more acceptable as price and infrastructure. It is exactly the transition from computer to a service offeredto the consumers as a product delivered online. This represents an advantage for the organization both regarding the cost and the opportunity for the new business. This paper presents the future perspectives in cloud computing. The paper presents some issues of the cloud computing paradigm. It is a theoretical paper.Keywords: Cloud Computing, Pay-per-use

  2. Privacy and Security issues in Cloud Computing

    OpenAIRE

    Anita Kumari Nanda , Brojo Kishore Mishra

    2012-01-01

    Cloud computing” – a relatively recent term, defines the paths ahead in computer science world. Being built on decades of research it utilizes all recent achievements in virtualization, distributed computing, utility computing, and networking. It implies a service oriented architecture through offering software and platforms as services, reduced information technology overhead for the end-user, great flexibility, reduced total cost of ownership, on demand services and many other things. Sec...

  3. Lean computing for the cloud

    CERN Document Server

    Bauer, Eric

    2016-01-01

    Applies lean manufacturing principles across the cloud service delivery chain to enable application and infrastructure service providers to sustainably achieve the shortest lead time, best quality, and value This book focuses on lean in the context of cloud computing capacity management of applications and the physical and virtual cloud resources that support them. Lean Computing for the Cloud considers business, architectural and operational aspects of efficiently delivering valuable services to end users via cloud-based applications hosted on shared cloud infrastructure. The work also focuses on overall optimization of the service delivery chain to enable both application service and infrastructure service providers to adopt leaner, demand driven operations to serve end users more efficiently. The book’s early chapters analyze how capacity management morphs with cloud computing into interlocked physical infrastructure capacity management, virtual resou ce capacity management, and application capacity ma...

  4. Agent-Based Cloud Computing

    OpenAIRE

    Sim, Kwang Mong

    2012-01-01

    Agent-based cloud computing is concerned with the design and development of software agents for bolstering cloud service\\ud discovery, service negotiation, and service composition. The significance of this work is introducing an agent-based paradigm for\\ud constructing software tools and testbeds for cloud resource management. The novel contributions of this work include: 1) developing\\ud Cloudle: an agent-based search engine for cloud service discovery, 2) showing that agent-based negotiatio...

  5. Future of Cloud Computing in India

    OpenAIRE

    Pradeep Kumar Tiwari

    2012-01-01

    This paper shows the future of cloud computing in India. This paper also help to understand of future of cloud computing in Indian market .This paper also show the benefits of cloud computing .Cloud computing is not very buzz in India. This paper give the new idea to understand cloud computing and cloud computing future in India. This paper also show the importance of cloud computing. Ito show the growth rate of cloud computing. This paper not only show the cloud computing market it also show...

  6. Securing the Data Storage and Processing in Cloud Computing Environment

    Science.gov (United States)

    Owens, Rodney

    2013-01-01

    Organizations increasingly utilize cloud computing architectures to reduce costs and energy consumption both in the data warehouse and on mobile devices by better utilizing the computing resources available. However, the security and privacy issues with publicly available cloud computing infrastructures have not been studied to a sufficient depth…

  7. Securing the Data Storage and Processing in Cloud Computing Environment

    Science.gov (United States)

    Owens, Rodney

    2013-01-01

    Organizations increasingly utilize cloud computing architectures to reduce costs and energy consumption both in the data warehouse and on mobile devices by better utilizing the computing resources available. However, the security and privacy issues with publicly available cloud computing infrastructures have not been studied to a sufficient depth…

  8. Cloud computing assessing the risks

    CERN Document Server

    Carstensen, Jared; Golden, Bernard

    2012-01-01

    Cloud Computing: Assessing the risks answers these questions and many more. Using jargon-free language and relevant examples, analogies and diagrams, it is an up-to-date, clear and comprehensive guide the security, governance, risk, and compliance elements of Cloud Computing.

  9. Cloud computing and services science

    NARCIS (Netherlands)

    Ivanov, Ivan; Sinderen, van Marten; Shishkov, Boris

    2012-01-01

    This book is essentially a collection of the best papers of the International Conference on Cloud Computing and Services Science (CLOSER), which was held in Noordwijkerhout, The Netherlands on May 7–9, 2011. The conference addressed technology trends in the domain of cloud computing in relation to a

  10. An Evolution, Present, and Future Changes of Cloud Computing Services

    Institute of Scientific and Technical Information of China (English)

    Wen-Lung Shiau

    2015-01-01

    Abstract⎯This study presents a clear evolution of computing and its key applications. Cloud computing services evolved from distributed, grid, and utility computing. Critical companies such as Salesforce, Amazon, Google, and Microsoft play important roles in cloud computing. Dramatic changes in the technology environment have created new challenges for current information technologies. This study discusses four significant challenges for cloud computing services, including the next-generation Internet, data synchro- nization, cloud security, and competitive advantages. And then it also discusses how managers can learn about the future of cloud computing services.

  11. Mobile Cloud Computing and Applications

    Institute of Scientific and Technical Information of China (English)

    Chengzhong Xu

    2011-01-01

    @@ In 2010, cloud computing gained momentum.Cloud computing is a model for real-time, on-demand, pay-for-use network access to a shared pool of configurable computing and storage resources.It has matured from a promising business concept to a working reality in both the private and public IT sectors.The U.S.government, for example, has requested all its agencies to evaluate cloud computing alternatives as part of their budget submissions for new IT investment.

  12. Cloud computing theory and practice

    CERN Document Server

    Marinescu, Dan C

    2013-01-01

    Cloud Computing: Theory and Practice provides students and IT professionals with an in-depth analysis of the cloud from the ground up. Beginning with a discussion of parallel computing and architectures and distributed systems, the book turns to contemporary cloud infrastructures, how they are being deployed at leading companies such as Amazon, Google and Apple, and how they can be applied in fields such as healthcare, banking and science. The volume also examines how to successfully deploy a cloud application across the enterprise using virtualization, resource management and the ri

  13. Cloud Computing: Exploring the scope

    CERN Document Server

    Pandey, Abhinav; Tandon, Ankit; Maurya, Brajesh Kr; Kushwaha, Upendra

    2010-01-01

    Cloud computing refers a paradigm shift to overall IT solutions while raising the accessibility, scalability and effectiveness through its enabling technologies. However, migrated cloud platforms and services cost benefits as well as performances are neither clear nor summarized. Globalization and the recessionary economic times have not only raised the bar of a better IT delivery models but also have given access to technology enabled services via internet. Cloud computing has vast potential in terms of lean Retail methodologies that can minimize the operational cost by using the third party based IT capabilities, as a service. It will not only increase the ROI but will also help in lowering the total cost of ownership. In this paper we have tried to compare the cloud computing cost benefits with the actual premise cost which an organization incurs normally. However, in spite of the cost benefits, many IT professional believe that the latest model i.e. "cloud computing" has risks and security concerns. This ...

  14. Architecture Design & Network Application of Cloud Computing

    Directory of Open Access Journals (Sweden)

    Mehzabul Hoque Nahid

    2015-08-01

    Full Text Available “Cloud” computing a comparatively term, stands on decades of research & analysis in virtualization, analytical distributed computing, utility computing, and more recently computer networking, web technology and software services. Cloud computing represents a shift away from computing as a product that is purchased, to computing as a service that is delivered to consumers over the internet from large-scale data centers – or “clouds”. Whilst cloud computing is obtaining growing popularity in the IT industry, academic appeared to be lagging behind the developments in this field. It also implies a service oriented designed architecture, reduced information technology overhead for the end-user, good flexibility, reduced total cost of private ownership, on-demand services and many other things. This paper discusses the concept of “cloud” computing, some of the issues it tries to address, related research topics, and a “cloud” implementation available today

  15. Cloud computing for comparative genomics.

    Science.gov (United States)

    Wall, Dennis P; Kudtarkar, Parul; Fusaro, Vincent A; Pivovarov, Rimma; Patil, Prasad; Tonellato, Peter J

    2010-05-18

    Large comparative genomics studies and tools are becoming increasingly more compute-expensive as the number of available genome sequences continues to rise. The capacity and cost of local computing infrastructures are likely to become prohibitive with the increase, especially as the breadth of questions continues to rise. Alternative computing architectures, in particular cloud computing environments, may help alleviate this increasing pressure and enable fast, large-scale, and cost-effective comparative genomics strategies going forward. To test this, we redesigned a typical comparative genomics algorithm, the reciprocal smallest distance algorithm (RSD), to run within Amazon's Elastic Computing Cloud (EC2). We then employed the RSD-cloud for ortholog calculations across a wide selection of fully sequenced genomes. We ran more than 300,000 RSD-cloud processes within the EC2. These jobs were farmed simultaneously to 100 high capacity compute nodes using the Amazon Web Service Elastic Map Reduce and included a wide mix of large and small genomes. The total computation time took just under 70 hours and cost a total of $6,302 USD. The effort to transform existing comparative genomics algorithms from local compute infrastructures is not trivial. However, the speed and flexibility of cloud computing environments provides a substantial boost with manageable cost. The procedure designed to transform the RSD algorithm into a cloud-ready application is readily adaptable to similar comparative genomics problems.

  16. APPLICATIONS OF CLOUD COMPUTING SERVICES IN EDUCATION – CASE STUDY

    Directory of Open Access Journals (Sweden)

    Tomasz Cieplak

    2014-11-01

    Full Text Available Applications of Cloud Computing in enterprises are very wide-ranging. In opposition, educational applications of Cloud Computing in Poland are someway limited. On the other hand, young people use services of Cloud Computing frequently. Utilization of Facebook, Google or other services in Poland by young people is almost the same as in Western Europe or in the USA. Taking into account those considerations, few years ago authors have started process of popularization and usage of Cloud Computing educational services in their professional work. This article briefly summarizes authors’ experience with selected and most popular Cloud Computing services.

  17. Cloud Computing: A study of cloud architecture and its patterns

    Directory of Open Access Journals (Sweden)

    Mandeep Handa,

    2015-05-01

    Full Text Available Cloud computing is a general term for anything that involves delivering hosted services over the Internet. Cloud computing is a paradigm shift following the shift from mainframe to client–server in the early 1980s. Cloud computing can be defined as accessing third party software and services on web and paying as per usage. It facilitates scalability and virtualized resources over Internet as a service providing cost effective and scalable solution to customers. Cloud computing has evolved as a disruptive technology and picked up speed with the presence of many vendors in cloud computing space. The evolution of cloud computing from numerous technological approaches and business models such as SaaS, cluster computing, high performance computing, etc., signifies that the cloud IDM can be considered as a superset of all the corresponding issues from these paradigms and many more. In this paper we will discuss Life cycle management, Cloud architecture, Pattern in Cloud IDM, Volatility of Cloud relations.

  18. Data mining in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Ruxandra-Ştefania PETRE

    2012-10-01

    Full Text Available This paper describes how data mining is used in cloud computing. Data Mining is used for extracting potentially useful information from raw data. The integration of data mining techniques into normal day-to-day activities has become common place. Every day people are confronted with targeted advertising, and data mining techniques help businesses to become more efficient by reducing costs.Data mining techniques and applications are very much needed in the cloud computing paradigm. The implementation of data mining techniques through Cloud computing will allow the users to retrieve meaningful information from virtually integrated data warehouse that reduces the costs of infrastructure and storage.

  19. Cloud computing for enterprise architectures

    CERN Document Server

    Mahmood, Zaigham

    2011-01-01

    This important text provides a single point of reference for state-of-the-art cloud computing design and implementation techniques. The book examines cloud computing from the perspective of enterprise architecture, asking the question; how do we realize new business potential with our existing enterprises? Its topics and features are: with a Foreword by Thomas Erl; contains contributions from an international selection of preeminent experts; presents the state-of-the-art in enterprise architecture approaches with respect to cloud computing models, frameworks, technologies, and applications; di

  20. The Ethics of Cloud Computing.

    Science.gov (United States)

    de Bruin, Boudewijn; Floridi, Luciano

    2017-02-01

    Cloud computing is rapidly gaining traction in business. It offers businesses online services on demand (such as Gmail, iCloud and Salesforce) and allows them to cut costs on hardware and IT support. This is the first paper in business ethics dealing with this new technology. It analyzes the informational duties of hosting companies that own and operate cloud computing datacentres (e.g., Amazon). It considers the cloud services providers leasing 'space in the cloud' from hosting companies (e.g., Dropbox, Salesforce). And it examines the business and private 'clouders' using these services. The first part of the paper argues that hosting companies, services providers and clouders have mutual informational (epistemic) obligations to provide and seek information about relevant issues such as consumer privacy, reliability of services, data mining and data ownership. The concept of interlucency is developed as an epistemic virtue governing ethically effective communication. The second part considers potential forms of government restrictions on or proscriptions against the development and use of cloud computing technology. Referring to the concept of technology neutrality, it argues that interference with hosting companies and cloud services providers is hardly ever necessary or justified. It is argued, too, however, that businesses using cloud services (e.g., banks, law firms, hospitals etc. storing client data in the cloud) will have to follow rather more stringent regulations.

  1. Trusted computing strengthens cloud authentication.

    Science.gov (United States)

    Ghazizadeh, Eghbal; Zamani, Mazdak; Ab Manan, Jamalul-lail; Alizadeh, Mojtaba

    2014-01-01

    Cloud computing is a new generation of technology which is designed to provide the commercial necessities, solve the IT management issues, and run the appropriate applications. Another entry on the list of cloud functions which has been handled internally is Identity Access Management (IAM). Companies encounter IAM as security challenges while adopting more technologies became apparent. Trust Multi-tenancy and trusted computing based on a Trusted Platform Module (TPM) are great technologies for solving the trust and security concerns in the cloud identity environment. Single sign-on (SSO) and OpenID have been released to solve security and privacy problems for cloud identity. This paper proposes the use of trusted computing, Federated Identity Management, and OpenID Web SSO to solve identity theft in the cloud. Besides, this proposed model has been simulated in .Net environment. Security analyzing, simulation, and BLP confidential model are three ways to evaluate and analyze our proposed model.

  2. Trusted Computing Strengthens Cloud Authentication

    Directory of Open Access Journals (Sweden)

    Eghbal Ghazizadeh

    2014-01-01

    Full Text Available Cloud computing is a new generation of technology which is designed to provide the commercial necessities, solve the IT management issues, and run the appropriate applications. Another entry on the list of cloud functions which has been handled internally is Identity Access Management (IAM. Companies encounter IAM as security challenges while adopting more technologies became apparent. Trust Multi-tenancy and trusted computing based on a Trusted Platform Module (TPM are great technologies for solving the trust and security concerns in the cloud identity environment. Single sign-on (SSO and OpenID have been released to solve security and privacy problems for cloud identity. This paper proposes the use of trusted computing, Federated Identity Management, and OpenID Web SSO to solve identity theft in the cloud. Besides, this proposed model has been simulated in .Net environment. Security analyzing, simulation, and BLP confidential model are three ways to evaluate and analyze our proposed model.

  3. The ethics of cloud computing

    NARCIS (Netherlands)

    de Bruin, Boudewijn; Floridi, Luciano

    2016-01-01

    Cloud computing is rapidly gaining traction in business. It offers businesses online services on demand (such as Gmail, iCloud and Salesforce) and allows them to cut costs on hardware and IT support. This is the first paper in business ethics dealing with this new technology. It analyzes the informa

  4. The ethics of cloud computing

    NARCIS (Netherlands)

    de Bruin, Boudewijn; Floridi, Luciano

    2016-01-01

    Cloud computing is rapidly gaining traction in business. It offers businesses online services on demand (such as Gmail, iCloud and Salesforce) and allows them to cut costs on hardware and IT support. This is the first paper in business ethics dealing with this new technology. It analyzes the

  5. IBM Cloud Computing Powering a Smarter Planet

    Science.gov (United States)

    Zhu, Jinzy; Fang, Xing; Guo, Zhe; Niu, Meng Hua; Cao, Fan; Yue, Shuang; Liu, Qin Yu

    With increasing need for intelligent systems supporting the world's businesses, Cloud Computing has emerged as a dominant trend to provide a dynamic infrastructure to make such intelligence possible. The article introduced how to build a smarter planet with cloud computing technology. First, it introduced why we need cloud, and the evolution of cloud technology. Secondly, it analyzed the value of cloud computing and how to apply cloud technology. Finally, it predicted the future of cloud in the smarter planet.

  6. Trusted cloud computing

    CERN Document Server

    Krcmar, Helmut; Rumpe, Bernhard

    2014-01-01

    This book documents the scientific results of the projects related to the Trusted Cloud Program, covering fundamental aspects of trust, security, and quality of service for cloud-based services and applications. These results aim to allow trustworthy IT applications in the cloud by providing a reliable and secure technical and legal framework. In this domain, business models, legislative circumstances, technical possibilities, and realizable security are closely interwoven and thus are addressed jointly. The book is organized in four parts on "Security and Privacy", "Software Engineering and

  7. Exploring Cloud Computing for Distance Learning

    Science.gov (United States)

    He, Wu; Cernusca, Dan; Abdous, M'hammed

    2011-01-01

    The use of distance courses in learning is growing exponentially. To better support faculty and students for teaching and learning, distance learning programs need to constantly innovate and optimize their IT infrastructures. The new IT paradigm called "cloud computing" has the potential to transform the way that IT resources are utilized and…

  8. Exploring Cloud Computing for Distance Learning

    Science.gov (United States)

    He, Wu; Cernusca, Dan; Abdous, M'hammed

    2011-01-01

    The use of distance courses in learning is growing exponentially. To better support faculty and students for teaching and learning, distance learning programs need to constantly innovate and optimize their IT infrastructures. The new IT paradigm called "cloud computing" has the potential to transform the way that IT resources are utilized and…

  9. Cloud Computing Concepts for Academic Collaboration

    Directory of Open Access Journals (Sweden)

    K.K. Jabbour

    2013-05-01

    Full Text Available The aim of this paper is to explain how cloud computing technologies improve academic collaboration. To accomplish that, we have to explore the current trend of the global computer network field. During the past few years, technology has evolved in many ways; many valuable web applications and services have been introduced to internet users. Social networking, synchronous/asynchronous communication, on-line video conferencing, and wikis are just a few examples of those web technologies that altered the way people interact nowadays. By utilizing some of the latest web tools and services and combining them with the most recent semantic Cloud Computing techniques, a wide and growing array of technology services and applications are provided, which are highly specialized or distinctive to individual or to educational campuses. Therefore, cloud computing can facilitate a new way of world academic collaboration; and introduce students to new and different ways that can help them manage massive workloads.

  10. Building Low Cost Cloud Computing Systems

    Directory of Open Access Journals (Sweden)

    Carlos Antunes

    2013-06-01

    Full Text Available The actual models of cloud computing are based in megalomaniac hardware solutions, being its implementation and maintenance unaffordable to the majority of service providers. The use of jail services is an alternative to current models of cloud computing based on virtualization. Models based in utilization of jail environments instead of the used virtualization systems will provide huge gains in terms of optimization of hardware resources at computation level and in terms of storage and energy consumption. In this paper it will be addressed the practical implementation of jail environments in real scenarios, which allows the visualization of areas where its application will be relevant and will make inevitable the redefinition of the models that are currently defined for cloud computing. In addition it will bring new opportunities in the development of support features for jail environments in the majority of operating systems.

  11. Security Issues related with cloud computing

    Directory of Open Access Journals (Sweden)

    Manju,

    2014-04-01

    Full Text Available The term CLOUD means Common Location Independent Online Utility on Demand. It‟s an emerging technology in IT industries. Cloud technologies are improving day by day and now it become a need for all small and large scale industries. Companies like Google, Amazon, Microsoft etc. is providing virtualized environment for user by which it omits the need for physical storage and others. But as the advantage of cloud computing is increasing day by day the issues are also threatening the IT industries. These issues related with the security of the data. The basic idea of this review paper is to elaborate the security issues related with cloud computing and what methods are implemented to improve these security. Certain algorithms like RSA, DES, and Ceaser Cipher etc. implemented to improve the security issues. In this paper we have implemented Identity based mRSA algorithm in this paper for improving security of data.

  12. National electronic medical records integration on cloud computing system.

    Science.gov (United States)

    Mirza, Hebah; El-Masri, Samir

    2013-01-01

    Few Healthcare providers have an advanced level of Electronic Medical Record (EMR) adoption. Others have a low level and most have no EMR at all. Cloud computing technology is a new emerging technology that has been used in other industry and showed a great success. Despite the great features of Cloud computing, they haven't been utilized fairly yet in healthcare industry. This study presents an innovative Healthcare Cloud Computing system for Integrating Electronic Health Record (EHR). The proposed Cloud system applies the Cloud Computing technology on EHR system, to present a comprehensive EHR integrated environment.

  13. The Magellan Final Report on Cloud Computing

    Energy Technology Data Exchange (ETDEWEB)

    ,; Coghlan, Susan; Yelick, Katherine

    2011-12-21

    The goal of Magellan, a project funded through the U.S. Department of Energy (DOE) Office of Advanced Scientific Computing Research (ASCR), was to investigate the potential role of cloud computing in addressing the computing needs for the DOE Office of Science (SC), particularly related to serving the needs of mid- range computing and future data-intensive computing workloads. A set of research questions was formed to probe various aspects of cloud computing from performance, usability, and cost. To address these questions, a distributed testbed infrastructure was deployed at the Argonne Leadership Computing Facility (ALCF) and the National Energy Research Scientific Computing Center (NERSC). The testbed was designed to be flexible and capable enough to explore a variety of computing models and hardware design points in order to understand the impact for various scientific applications. During the project, the testbed also served as a valuable resource to application scientists. Applications from a diverse set of projects such as MG-RAST (a metagenomics analysis server), the Joint Genome Institute, the STAR experiment at the Relativistic Heavy Ion Collider, and the Laser Interferometer Gravitational Wave Observatory (LIGO), were used by the Magellan project for benchmarking within the cloud, but the project teams were also able to accomplish important production science utilizing the Magellan cloud resources.

  14. Cloud computing in medical imaging.

    Science.gov (United States)

    Kagadis, George C; Kloukinas, Christos; Moore, Kevin; Philbin, Jim; Papadimitroulas, Panagiotis; Alexakos, Christos; Nagy, Paul G; Visvikis, Dimitris; Hendee, William R

    2013-07-01

    Over the past century technology has played a decisive role in defining, driving, and reinventing procedures, devices, and pharmaceuticals in healthcare. Cloud computing has been introduced only recently but is already one of the major topics of discussion in research and clinical settings. The provision of extensive, easily accessible, and reconfigurable resources such as virtual systems, platforms, and applications with low service cost has caught the attention of many researchers and clinicians. Healthcare researchers are moving their efforts to the cloud, because they need adequate resources to process, store, exchange, and use large quantities of medical data. This Vision 20/20 paper addresses major questions related to the applicability of advanced cloud computing in medical imaging. The paper also considers security and ethical issues that accompany cloud computing.

  15. Cloud Computing Strategy

    Science.gov (United States)

    2012-07-01

    delivery and integrated  DevOps .  This test and development cloud  environment will enable applications and services to run in a distributed environment...reducing  time to deliver content to clients.        This cloud development and test environment will:  " DevOps " is an emerging set of principles

  16. Research on Comparison of Cloud Computing and Grid Computing

    OpenAIRE

    Liu Yuxi; Wang Jianhua

    2012-01-01

    The development of computer industry is promoted by the progress of distributed computing, parallel computing and grid computing, so the cloud computing movement rises. This study describes the types of cloud computing services, the similarities and differences of cloud computing and grid computing, meanwhile discusses the better aspect of cloud computing than grid computing, and refers the common problems faced to the both computing, and some security issues.

  17. Cloud computing development in Armenia

    Directory of Open Access Journals (Sweden)

    Vazgen Ghazaryan

    2014-10-01

    Full Text Available Purpose – The purpose of the research is to clarify benefits and risks in regards with data protection, cost; business can have by the use of this new technologies for the implementation and management of organization’s information systems.Design/methodology/approach – Qualitative case study of the results obtained via interviews. Three research questions were raised: Q1: How can company benefit from using Cloud Computing compared to other solutions?; Q2: What are possible issues that occur with Cloud Computing?; Q3: How would Cloud Computing change an organizations’ IT infrastructure?Findings – The calculations provided in the interview section prove the financial advantages, even though the precise degree of flexibility and performance has not been assessed. Cloud Computing offers great scalability. Another benefit that Cloud Computing offers, in addition to better performance and flexibility, is reliable and simple backup data storage, physically distributed and so almost invulnerable to damage. Although the advantages of Cloud Computing more than compensate for the difficulties associated with it, the latter must be carefully considered. Since the cloud architecture is relatively new, so far the best guarantee against all risks it entails, from a single company's perspective, is a well-formulated service-level agreement, where the terms of service and the shared responsibility and security roles between the client and the provider are defined.Research limitations/implications – study was carried out on the bases of two companies, which gives deeper view, but for more widely applicable results, a wider analysis is necessary.Practical implications:Originality/Value – novelty of the research depends on the fact that existing approaches on this problem mainly focus on technical side of computing.Research type: case study

  18. Computing networks from cluster to cloud computing

    CERN Document Server

    Vicat-Blanc, Pascale; Guillier, Romaric; Soudan, Sebastien

    2013-01-01

    "Computing Networks" explores the core of the new distributed computing infrastructures we are using today:  the networking systems of clusters, grids and clouds. It helps network designers and distributed-application developers and users to better understand the technologies, specificities, constraints and benefits of these different infrastructures' communication systems. Cloud Computing will give the possibility for millions of users to process data anytime, anywhere, while being eco-friendly. In order to deliver this emerging traffic in a timely, cost-efficient, energy-efficient, and

  19. Cloud Scheduler: a resource manager for distributed compute clouds

    CERN Document Server

    Armstrong, P; Bishop, A; Charbonneau, A; Desmarais, R; Fransham, K; Hill, N; Gable, I; Gaudet, S; Goliath, S; Impey, R; Leavett-Brown, C; Ouellete, J; Paterson, M; Pritchet, C; Penfold-Brown, D; Podaima, W; Schade, D; Sobie, R J

    2010-01-01

    The availability of Infrastructure-as-a-Service (IaaS) computing clouds gives researchers access to a large set of new resources for running complex scientific applications. However, exploiting cloud resources for large numbers of jobs requires significant effort and expertise. In order to make it simple and transparent for researchers to deploy their applications, we have developed a virtual machine resource manager (Cloud Scheduler) for distributed compute clouds. Cloud Scheduler boots and manages the user-customized virtual machines in response to a user's job submission. We describe the motivation and design of the Cloud Scheduler and present results on its use on both science and commercial clouds.

  20. Cloud Computing Principles and Paradigms

    CERN Document Server

    Buyya, Rajkumar; Goscinski, Andrzej M

    2010-01-01

    The primary purpose of this book is to capture the state-of-the-art in Cloud Computing technologies and applications. The book will also aim to identify potential research directions and technologies that will facilitate creation a global market-place of cloud computing services supporting scientific, industrial, business, and consumer applications. We expect the book to serve as a reference for larger audience such as systems architects, practitioners, developers, new researchers and graduate level students. This area of research is relatively recent, and as such has no existing reference boo

  1. 基于云计算的家庭智能用电策略%A Residential Smart Power Utilization Strategy Based on Cloud Computing

    Institute of Scientific and Technical Information of China (English)

    郭晓利; 于阳

    2015-01-01

    对智能小区的居民用电行为展开研究,基于云计算平台和并行关联规则 Apriori 算法,挖掘出了用户用电行为间的关联规则,根据挖掘出的关联规则使用遗传算法对家庭用电时间分布进行合理规划,达到经济用电的目标,给出了行之有效的智能用电策略。由供电局将用户的智能用电策略以短信等交互方式传递给智能用电家庭。经实例验证,文中基于云计算平台和并行 Apriori 算法的居民用电行为分析结果是有效的,可使居民高效智能用电,节约家庭能耗。%The residential electricity consumption behaviors in smart residential areas are researched.Based on the cloud computing platform and parallel Apriori algorithm,association rules among residential electricity consumption behaviors are mined out.According to the mined association rules,the household electricity time consumption distribution is reasonably planned by the genetic algorithm to achieve the goal of economical power.An effective smart power utilization strategy is given.The power supply bureau can notify residents of the smart power strategies through short message service(SMS)or in other interactive ways. Experimental results show that the residential electricity consumption behavior based on cloud computing platform and parallel Apriori algorithm are effective in guiding residents to save home energy in efficient and intelligent use of power.

  2. Sheltered Data Storage Services in Cloud Computing

    Directory of Open Access Journals (Sweden)

    B. Jenifer Milkkal

    2013-05-01

    Full Text Available Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing users’ physical possession of their outsourced data, which inevitably poses new security risks towards the correctness of the data in cloud. In order to address this new problem and further achieve a secure and dependable cloud storage service, we propose in this paper a flexible distributed storage integrity auditing mechanism, utilizing the holomorphic token and distributed erasure-coded data. The proposed design allows users to audit the cloud storage with very lightweight communication and computation cost. The auditing result not only ensures strong cloud storage correctness guarantee, but also simultaneously achieves fast data error localization, i.e., the identification of misbehaving server. Considering the cloud data are dynamic in nature, the proposed design further supports secure and efficient dynamic operations on outsourced data, including block modification, deletion, and append. Analysis shows the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks

  3. Resource Optimization Based on Demand in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Ramakrishnan Ramanathan

    2014-10-01

    Full Text Available A Cloud Computing gives the opportunity to dynamically scale the computing resources for application. Cloud Computing consist of large number of resources, it is called resource pool. These resources are shared among the cloud consumer using virtualization technology. Virtualization technologies engaged in cloud environment is resource consolidation and management. Cloud consists of physical and virtual resources. Cloud performance is important for Cloud Provider perspective predicts the dynamic nature of users, user demands and application demand. The cloud consumer perspective, the job should be completed on time with minimum cost and limited resources. Finding optimum resource allocation is difficult in huge system like Cluster, Data Centre and Grid. In this study we present two types of resource allocation schemes such as Commitment Allocation (CA and Over Commitment Allocation (OCA in the physical and virtual level resource. These resource allocation schemes helps to identify the virtual resource utilization and physical resource availability.

  4. Auditing cloud computing a security and privacy guide

    CERN Document Server

    Halpert, Ben

    2011-01-01

    The auditor's guide to ensuring correct security and privacy practices in a cloud computing environment Many organizations are reporting or projecting a significant cost savings through the use of cloud computing-utilizing shared computing resources to provide ubiquitous access for organizations and end users. Just as many organizations, however, are expressing concern with security and privacy issues for their organization's data in the "cloud." Auditing Cloud Computing provides necessary guidance to build a proper audit to ensure operational integrity and customer data protection, among othe

  5. Cloudbus Toolkit for Market-Oriented Cloud Computing

    CERN Document Server

    Buyya, Rajkumar; Vecchiola, Christian

    2009-01-01

    This keynote paper: (1) presents the 21st century vision of computing and identifies various IT paradigms promising to deliver computing as a utility; (2) defines the architecture for creating market-oriented Clouds and computing atmosphere by leveraging technologies such as virtual machines; (3) provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; (4) presents the work carried out as part of our new Cloud Computing initiative, called Cloudbus: (i) Aneka, a Platform as a Service software system containing SDK (Software Development Kit) for construction of Cloud applications and deployment on private or public Clouds, in addition to supporting market-oriented resource management; (ii) internetworking of Clouds for dynamic creation of federated computing environments for scaling of elastic applications; (iii) creation of 3rd party Cloud brokering services for building...

  6. Effective Ways of Secure Private and Trusted Cloud Computing

    Directory of Open Access Journals (Sweden)

    Pardeep Kumar

    2011-05-01

    Full Text Available Cloud computing is an Internet-based computing, where shared resources, software and information, are provided to computers and devices on-demand. It provides people the way to share distributed resources and services that belong to different organization. Since cloud computing uses distributed resources in open environment, thus it is important to provide the security and trust to share the data for developing cloud computing applications. In this paper we assess how can cloud providers earn their customers' trust and provide the security, privacy and reliability, when a third party is processing sensitive data in a remote machine located in various countries? A concept of utility cloud has been represented to provide the various services to the users. Emerging technologies can help address the challenges of Security, Privacy and Trust in cloud computing.

  7. Cloud Computing. Technology Briefing. Number 1

    Science.gov (United States)

    Alberta Education, 2013

    2013-01-01

    Cloud computing is Internet-based computing in which shared resources, software and information are delivered as a service that computers or mobile devices can access on demand. Cloud computing is already used extensively in education. Free or low-cost cloud-based services are used daily by learners and educators to support learning, social…

  8. The Education Value of Cloud Computing

    Science.gov (United States)

    Katzan, Harry, Jr.

    2010-01-01

    Cloud computing is a technique for supplying computer facilities and providing access to software via the Internet. Cloud computing represents a contextual shift in how computers are provisioned and accessed. One of the defining characteristics of cloud software service is the transfer of control from the client domain to the service provider.…

  9. Uncover the Cloud for Geospatial Sciences and Applications to Adopt Cloud Computing

    Science.gov (United States)

    Yang, C.; Huang, Q.; Xia, J.; Liu, K.; Li, J.; Xu, C.; Sun, M.; Bambacus, M.; Xu, Y.; Fay, D.

    2012-12-01

    Cloud computing is emerging as the future infrastructure for providing computing resources to support and enable scientific research, engineering development, and application construction, as well as work force education. On the other hand, there is a lot of doubt about the readiness of cloud computing to support a variety of scientific research, development and educations. This research is a project funded by NASA SMD to investigate through holistic studies how ready is the cloud computing to support geosciences. Four applications with different computing characteristics including data, computing, concurrent, and spatiotemporal intensities are taken to test the readiness of cloud computing to support geosciences. Three popular and representative cloud platforms including Amazon EC2, Microsoft Azure, and NASA Nebula as well as a traditional cluster are utilized in the study. Results illustrates that cloud is ready to some degree but more research needs to be done to fully implemented the cloud benefit as advertised by many vendors and defined by NIST. Specifically, 1) most cloud platform could help stand up new computing instances, a new computer, in a few minutes as envisioned, therefore, is ready to support most computing needs in an on demand fashion; 2) the load balance and elasticity, a defining characteristic, is ready in some cloud platforms, such as Amazon EC2, to support bigger jobs, e.g., needs response in minutes, while some are not ready to support the elasticity and load balance well. All cloud platform needs further research and development to support real time application at subminute level; 3) the user interface and functionality of cloud platforms vary a lot and some of them are very professional and well supported/documented, such as Amazon EC2, some of them needs significant improvement for the general public to adopt cloud computing without professional training or knowledge about computing infrastructure; 4) the security is a big concern in

  10. Project management for cloud computing development

    Directory of Open Access Journals (Sweden)

    Paul POCATILU

    2010-04-01

    Full Text Available This article deals with the impact of employing cloud computing architectures in the field of software systems development. We analyze the individual influence of the cloud computing model characteristics on the project development process.

  11. Towards Process Support for Migrating Applications to Cloud Computing

    DEFF Research Database (Denmark)

    Chauhan, Muhammad Aufeef; Babar, Muhammad Ali

    2012-01-01

    Cloud computing is an active area of research for industry and academia. There are a large number of organizations providing cloud computing infrastructure and services. In order to utilize these infrastructure resources and services, existing applications need to be migrated to clouds. However...... for supporting migration to cloud computing based on our experiences from migrating an Open Source System (OSS), Hackystat, to two different cloud computing platforms. We explained the process by performing a comparative analysis of our efforts to migrate Hackystate to Amazon Web Services and Google App Engine....... We also report the potential challenges, suitable solutions, and lesson learned to support the presented process framework. We expect that the reported experiences can serve guidelines for those who intend to migrate software applications to cloud computing....

  12. The emerging role of cloud computing in molecular modelling.

    Science.gov (United States)

    Ebejer, Jean-Paul; Fulle, Simone; Morris, Garrett M; Finn, Paul W

    2013-07-01

    There is a growing recognition of the importance of cloud computing for large-scale and data-intensive applications. The distinguishing features of cloud computing and their relationship to other distributed computing paradigms are described, as are the strengths and weaknesses of the approach. We review the use made to date of cloud computing for molecular modelling projects and the availability of front ends for molecular modelling applications. Although the use of cloud computing technologies for molecular modelling is still in its infancy, we demonstrate its potential by presenting several case studies. Rapid growth can be expected as more applications become available and costs continue to fall; cloud computing can make a major contribution not just in terms of the availability of on-demand computing power, but could also spur innovation in the development of novel approaches that utilize that capacity in more effective ways. Copyright © 2013 Elsevier Inc. All rights reserved.

  13. Scaling Critical Zone analysis tasks from desktop to the cloud utilizing contemporary distributed computing and data management approaches: A case study for project based learning of Cyberinfrastructure concepts

    Science.gov (United States)

    Swetnam, T. L.; Pelletier, J. D.; Merchant, N.; Callahan, N.; Lyons, E.

    2015-12-01

    Earth science is making rapid advances through effective utilization of large-scale data repositories such as aerial LiDAR and access to NSF-funded cyberinfrastructures (e.g. the OpenTopography.org data portal, iPlant Collaborative, and XSEDE). Scaling analysis tasks that are traditionally developed using desktops, laptops or computing clusters to effectively leverage national and regional scale cyberinfrastructure pose unique challenges and barriers to adoption. To address some of these challenges in Fall 2014 an 'Applied Cyberinfrastructure Concepts' a project-based learning course (ISTA 420/520) at the University of Arizona focused on developing scalable models of 'Effective Energy and Mass Transfer' (EEMT, MJ m-2 yr-1) for use by the NSF Critical Zone Observatories (CZO) project. EEMT is a quantitative measure of the flux of available energy to the critical zone, and its computation involves inputs that have broad applicability (e.g. solar insolation). The course comprised of 25 students with varying level of computational skills and with no prior domain background in the geosciences, collaborated with domain experts to develop the scalable workflow. The original workflow relying on open-source QGIS platform on a laptop was scaled to effectively utilize cloud environments (Openstack), UA Campus HPC systems, iRODS, and other XSEDE and OSG resources. The project utilizes public data, e.g. DEMs produced by OpenTopography.org and climate data from Daymet, which are processed using GDAL, GRASS and SAGA and the Makeflow and Work-queue task management software packages. Students were placed into collaborative groups to develop the separate aspects of the project. They were allowed to change teams, alter workflows, and design and develop novel code. The students were able to identify all necessary dependencies, recompile source onto the target execution platforms, and demonstrate a functional workflow, which was further improved upon by one of the group leaders over

  14. Cloud Computing Security Latest Issues amp Countermeasures

    OpenAIRE

    Shelveen Pandey; Mohammed Farik

    2015-01-01

    Abstract Cloud computing describes effective computing services provided by a third-party organization known as cloud service provider for organizations to perform different tasks over the internet for a fee. Cloud service providers computing resources are dynamically reallocated per demand and their infrastructure platform and software and other resources are shared by multiple corporate and private clients. With the steady increase in the number of cloud computing subscribers of these shar...

  15. Is Cloud Computing Steganography-proof?

    CERN Document Server

    Mazurczyk, Wojciech

    2011-01-01

    The paper focuses on characterisation of information hiding possibilities in Cloud Computing. After general introduction to cloud computing and its security we move to brief description of steganography. In particular we introduce classification of steganographic communication scenarios in cloud computing which is based on location of the steganograms receiver. These scenarios as well as the threats that steganographic methods can cause must be taken into account when designing secure cloud computing services.

  16. Business model elements impacting cloud computing adoption

    DEFF Research Database (Denmark)

    Bogataj, Kristina; Pucihar, Andreja; Sudzina, Frantisek

    The paper presents a proposed research framework for identification of business model elements impacting Cloud Computing Adoption. We provide a definition of main Cloud Computing characteristics, discuss previous findings on factors impacting Cloud Computing Adoption, and investigate technology...... adoption theories, such as Diffusion of Innovations, Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology. Further on, at research model for identification of Cloud Computing Adoption factors from a business model perspective is presented. The following business model building...

  17. A Privacy Manager for Cloud Computing

    Science.gov (United States)

    Pearson, Siani; Shen, Yun; Mowbray, Miranda

    We describe a privacy manager for cloud computing, which reduces the risk to the cloud computing user of their private data being stolen or misused, and also assists the cloud computing provider to conform to privacy law. We describe different possible architectures for privacy management in cloud computing; give an algebraic description of obfuscation, one of the features of the privacy manager; and describe how the privacy manager might be used to protect private metadata of online photos.

  18. Business model elements impacting cloud computing adoption

    DEFF Research Database (Denmark)

    Bogataj, Kristina; Pucihar, Andreja; Sudzina, Frantisek

    adoption theories, such as Diffusion of Innovations, Technology Acceptance Model, Unified Theory of Acceptance and Use of Technology. Further on, at research model for identification of Cloud Computing Adoption factors from a business model perspective is presented. The following business model building......The paper presents a proposed research framework for identification of business model elements impacting Cloud Computing Adoption. We provide a definition of main Cloud Computing characteristics, discuss previous findings on factors impacting Cloud Computing Adoption, and investigate technology...

  19. Cloud computing methods and practical approaches

    CERN Document Server

    Mahmood, Zaigham

    2013-01-01

    This book presents both state-of-the-art research developments and practical guidance on approaches, technologies and frameworks for the emerging cloud paradigm. Topics and features: presents the state of the art in cloud technologies, infrastructures, and service delivery and deployment models; discusses relevant theoretical frameworks, practical approaches and suggested methodologies; offers guidance and best practices for the development of cloud-based services and infrastructures, and examines management aspects of cloud computing; reviews consumer perspectives on mobile cloud computing an

  20. Privacy and Security issues in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Anita Kumari Nanda , Brojo Kishore Mishra

    2012-12-01

    Full Text Available “Cloud computing” – a relatively recent term, defines the paths ahead in computer science world. Being built on decades of research it utilizes all recent achievements in virtualization, distributed computing, utility computing, and networking. It implies a service oriented architecture through offering software and platforms as services, reduced information technology overhead for the end-user, great flexibility, reduced total cost of ownership, on demand services and many other things. Security concerns the confidentiality, availability and integrity of data or information. Security may also include authentication and non-repudiation. This paper is a brief survey based on readings of “cloud” computing and it tries to address related research topics, privacy and security issues ahead and possible solution.

  1. Modeling the Cloud: Methodology for Cloud Computing Strategy and Design

    Science.gov (United States)

    2011-05-17

    Opportunities 4How can you determine which, if any, cloud computing technologies and services are suitable for the company? 4How does cloud technology differ...with existing service types, in terms of functions and characteristics? 4How can cloud technology support current and new service or application

  2. Information Leakage Prevention In Cloud Computing

    Directory of Open Access Journals (Sweden)

    Raziqa Masood

    2014-11-01

    Full Text Available The cloud computing is still in it infancy.this is an emerging technology which will bring about innovations in terms of businessmodels and applications.the widespread penetration of smartphones will be a major factor in driving the adoption of cloude computing.however, cloud computing faces challenges related to privacy and security. Due to varied degree of security features and management schemes within the cloud entities security in the cloud is challenging. Security issues ranging from system misconfiguration, lack of proper updates, or unwise user behaviour from remote data storage that can expose user ̳s private data and information to unwanted access can plague a Cloud Computing. The intent of this paper is to investigate the security related issues and challenges in Cloud computing environment . We also proposed a security scheme for protecting services keeping in view the issues and challenges faced by cloud computing.

  3. Governmental Cloud - Part of Cloud Computing

    Directory of Open Access Journals (Sweden)

    Cristian IVANUS

    2014-01-01

    Full Text Available Large IT (Information Technology companies propose cloud government's (G-Cloud development model through investment from the private sector, which will facilitate the access of users from public sector to the new generation IT services. Through the G-Cloud private operators that operate governmental cloud infrastructure by adding specific SaaS (Software as a Service functionalities, proposed model by big companies, supports public institutions in optimizing costs and increased operational efficiency, bringing tangible benefits in relation with citizens and thus with the whole society. These optimizations are achieved by moving the initial investment to the private sector, through type subscription model cost by eliminating dependency on human factors (technical and by providing a low cost [1]. This paper aims to bring to the attention of specialists, some aspects of Governmental Cloud from the European Union (EU countries to be understood and implemented in Romania.

  4. The Evolution of Cloud Computing in ATLAS

    CERN Document Server

    AUTHOR|(INSPIRE)INSPIRE-00224309; The ATLAS collaboration; Berghaus, Frank; Love, Peter; Leblanc, Matthew Edgar; Di Girolamo, Alessandro; Paterson, Michael; Gable, Ian; Sobie, Randall; Field, Laurence

    2015-01-01

    The ATLAS experiment has successfully incorporated cloud computing technology and cloud resources into its primarily grid-based model of distributed computing. Cloud R&D activities continue to mature and transition into stable production systems, while ongoing evolutionary changes are still needed to adapt and refine the approaches used, in response to changes in prevailing cloud technology. In addition, completely new developments are needed to handle emerging requirements. This work will describe the overall evolution of cloud computing in ATLAS. The current status of the VM management systems used for harnessing IAAS resources will be discussed. Monitoring and accounting systems tailored for clouds are needed to complete the integration of cloud resources within ATLAS' distributed computing framework. We are developing and deploying new solutions to address the challenge of operation in a geographically distributed multi-cloud scenario, including a system for managing VM images across multiple clouds, ...

  5. Cloud Computing for DoD

    Science.gov (United States)

    2012-05-01

    media applications 16 Air Force Cloud Computing •  IBM effort to Design and Demonstrate Mission-Oriented Cloud Architecture for Cyber Security (2010...Universities •  IBM /Google Cloud Computing University Initiative •  Employ SW and services on IBM /Google cloud to explore innovative research ideas...in data-intensive computing, including: –  Image processing –  Large scale data analysis –  Internet improvement studies –  Human genome

  6. GPU-accelerated micromagnetic simulations using cloud computing

    Science.gov (United States)

    Jermain, C. L.; Rowlands, G. E.; Buhrman, R. A.; Ralph, D. C.

    2016-03-01

    Highly parallel graphics processing units (GPUs) can improve the speed of micromagnetic simulations significantly as compared to conventional computing using central processing units (CPUs). We present a strategy for performing GPU-accelerated micromagnetic simulations by utilizing cost-effective GPU access offered by cloud computing services with an open-source Python-based program for running the MuMax3 micromagnetics code remotely. We analyze the scaling and cost benefits of using cloud computing for micromagnetics.

  7. GPU-accelerated micromagnetic simulations using cloud computing

    CERN Document Server

    Jermain, C L; Buhrman, R A; Ralph, D C

    2015-01-01

    Highly-parallel graphics processing units (GPUs) can improve the speed of micromagnetic simulations significantly as compared to conventional computing using central processing units (CPUs). We present a strategy for performing GPU-accelerated micromagnetic simulations by utilizing cost-effective GPU access offered by cloud computing services with an open-source Python-based program for running the MuMax3 micromagnetics code remotely. We analyze the scaling and cost benefits of using cloud computing for micromagnetics.

  8. STUDY ON RECENT TRENDS AND OPPORTUNITIES IN CLOUD COMPUTING

    Directory of Open Access Journals (Sweden)

    V. VIJAYALAKSHMI

    2012-05-01

    Full Text Available The emerging trend of cloud computing that delivers the computing as a service rather than a product whereby shared resources software and information that are provided to computers and other devices asthe utility over the network. Cloud computing model is composed of three service models Software as a Service (SaaS, Platform as a Service (PaaS and Infrastructure as a Service (IaaS and four deployment models Public, Private, Hybrid/mixed. In this paper Cloud computing system that consist of inter- connected computers and virtualized computers that are dynamically provisioned and presented as one or more unified computing resources based on service-level agreements established through negotiation between the service provider and consumers. The introduction of hardware monitoring and software management that was proved to be effective tools for managing the data centers at different locations. This paper further deal with comparative study of data centre challenges of different cloud vendors.

  9. Mastering cloud computing foundations and applications programming

    CERN Document Server

    Buyya, Rajkumar; Selvi, SThamarai

    2013-01-01

    Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won't live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifical

  10. Sensitive Data Protection Based on Intrusion Tolerance in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Jingyu Wang

    2011-02-01

    Full Text Available Service integration and supply on-demand coming from cloud computing can significantly improve the utilization of computing resources and reduce power consumption of per service, and effectively avoid the error of computing resources. However, cloud computing is still facing the problem of intrusion tolerance of the cloud computing platform and sensitive data of new enterprise data center. In order to address the problem of intrusion tolerance of cloud computing platform and sensitive data in new enterprise data center, this paper constructs a virtualization intrusion tolerance system based on cloud computing by researching on the existing virtualization technology, and then presents a method of intrusion tolerance to protect sensitive data in cloud data center based on virtual adversary structure by utilizing secret sharing. This system adopts the method of hybrid fault model, active and passive replicas, state update and transfer, proactive recovery and diversity, and initially implements to tolerate F faulty replicas in N=2F+1 replicas and ensure that only F+1 active replicas to execute during the intrusion-free stage. The remaining replicas are all put into passive mode, which significantly reduces the resource consuming in cloud platform. At last we prove the reconstruction and confidentiality property of sensitive data by utilizing secret sharing.

  11. Cloud computing services: taxonomy and comparison

    NARCIS (Netherlands)

    Höfer, C.N.; Karagiannis, G.

    2011-01-01

    Cloud computing is a highly discussed topic in the technical and economic world, and many of the big players of the software industry have entered the development of cloud services. Several companies what to explore the possibilities and benefits of incorporating such cloud computing services in the

  12. Introducing Cloud Computing Topics in Curricula

    Science.gov (United States)

    Chen, Ling; Liu, Yang; Gallagher, Marcus; Pailthorpe, Bernard; Sadiq, Shazia; Shen, Heng Tao; Li, Xue

    2012-01-01

    The demand for graduates with exposure in Cloud Computing is on the rise. For many educational institutions, the challenge is to decide on how to incorporate appropriate cloud-based technologies into their curricula. In this paper, we describe our design and experiences of integrating Cloud Computing components into seven third/fourth-year…

  13. Cloud computing services: taxonomy and comparison

    NARCIS (Netherlands)

    Höfer, C.N.; Karagiannis, Georgios

    2011-01-01

    Cloud computing is a highly discussed topic in the technical and economic world, and many of the big players of the software industry have entered the development of cloud services. Several companies what to explore the possibilities and benefits of incorporating such cloud computing services in

  14. Introducing Cloud Computing Topics in Curricula

    Science.gov (United States)

    Chen, Ling; Liu, Yang; Gallagher, Marcus; Pailthorpe, Bernard; Sadiq, Shazia; Shen, Heng Tao; Li, Xue

    2012-01-01

    The demand for graduates with exposure in Cloud Computing is on the rise. For many educational institutions, the challenge is to decide on how to incorporate appropriate cloud-based technologies into their curricula. In this paper, we describe our design and experiences of integrating Cloud Computing components into seven third/fourth-year…

  15. Research computing in a distributed cloud environment

    Energy Technology Data Exchange (ETDEWEB)

    Fransham, K; Agarwal, A; Armstrong, P; Bishop, A; Charbonneau, A; Desmarais, R; Hill, N; Gable, I; Gaudet, S; Goliath, S; Impey, R; Leavett-Brown, C; Ouellete, J; Paterson, M; Pritchet, C; Penfold-Brown, D; Podaima, W; Schade, D; Sobie, R J, E-mail: fransham@uvic.ca

    2010-11-01

    The recent increase in availability of Infrastructure-as-a-Service (IaaS) computing clouds provides a new way for researchers to run complex scientific applications. However, using cloud resources for a large number of research jobs requires significant effort and expertise. Furthermore, running jobs on many different clouds presents even more difficulty. In order to make it easy for researchers to deploy scientific applications across many cloud resources, we have developed a virtual machine resource manager (Cloud Scheduler) for distributed compute clouds. In response to a user's job submission to a batch system, the Cloud Scheduler manages the distribution and deployment of user-customized virtual machines across multiple clouds. We describe the motivation for and implementation of a distributed cloud using the Cloud Scheduler that is spread across both commercial and dedicated private sites, and present some early results of scientific data analysis using the system.

  16. Research computing in a distributed cloud environment

    Science.gov (United States)

    Fransham, K.; Agarwal, A.; Armstrong, P.; Bishop, A.; Charbonneau, A.; Desmarais, R.; Hill, N.; Gable, I.; Gaudet, S.; Goliath, S.; Impey, R.; Leavett-Brown, C.; Ouellete, J.; Paterson, M.; Pritchet, C.; Penfold-Brown, D.; Podaima, W.; Schade, D.; Sobie, R. J.

    2010-11-01

    The recent increase in availability of Infrastructure-as-a-Service (IaaS) computing clouds provides a new way for researchers to run complex scientific applications. However, using cloud resources for a large number of research jobs requires significant effort and expertise. Furthermore, running jobs on many different clouds presents even more difficulty. In order to make it easy for researchers to deploy scientific applications across many cloud resources, we have developed a virtual machine resource manager (Cloud Scheduler) for distributed compute clouds. In response to a user's job submission to a batch system, the Cloud Scheduler manages the distribution and deployment of user-customized virtual machines across multiple clouds. We describe the motivation for and implementation of a distributed cloud using the Cloud Scheduler that is spread across both commercial and dedicated private sites, and present some early results of scientific data analysis using the system.

  17. Snapshot Based Virtualization Mechanism for Cloud Computing

    Directory of Open Access Journals (Sweden)

    A.Rupa

    2012-09-01

    Full Text Available Virtualization in cloud computing has been the latest evolutionary technology in current applications of various industries and IT firms are adopting Cloud Technology. The concept of cloud computing was introduced long back. Since its inception there have been many number of new innovations implemented by different experts and researchers etc. Virtualization in cloud computing is very effective approach to gain different operational advantages in cloud computing. In this paper we have proposed the concept of virtualization using Snapshot based Mechanism, where the Memory virtualization and Storage virtualization are discussed in this paper.

  18. Resource Management in Mobile Cloud Computing

    Directory of Open Access Journals (Sweden)

    Andrei IONESCU

    2015-01-01

    Full Text Available Mobile cloud computing is a major research topic in Information Technology & Communications. It integrates cloud computing, mobile computing and wireless networks. While mainly built on cloud computing, it has to operate using more heterogeneous resources with implications on how these resources are managed and used. Managing the resources of a mobile cloud is not a trivial task, involving vastly different architectures. The process is outside the scope of human users. Using the resources by the applications at both platform and software tiers come with its own challenges. This paper presents different approaches in use for managing cloud resources at infrastructure and platform levels.

  19. The Evolution of Cloud Computing in ATLAS

    CERN Document Server

    AUTHOR|(INSPIRE)INSPIRE-00224309; Berghaus, Frank; Brasolin, Franco; Cordeiro, Cristovao; Desmarais, Ron; Field, Laurence; Gable, Ian; Giordano, Domenico; Di Girolamo, Alessandro; Hover, John; Leblanc, Matthew Edgar; Love, Peter; Paterson, Michael; Sobie, Randall; Zaytsev, Alexandr

    2015-01-01

    The ATLAS experiment has successfully incorporated cloud computing technology and cloud resources into its primarily grid-based model of distributed computing. Cloud R&D activities continue to mature and transition into stable production systems, while ongoing evolutionary changes are still needed to adapt and refine the approaches used, in response to changes in prevailing cloud technology. In addition, completely new developments are needed to handle emerging requirements. This paper describes the overall evolution of cloud computing in ATLAS. The current status of the virtual machine (VM) management systems used for harnessing infrastructure as a service (IaaS) resources are discussed. Monitoring and accounting systems tailored for clouds are needed to complete the integration of cloud resources within ATLAS' distributed computing framework. We are developing and deploying new solutions to address the challenge of operation in a geographically distributed multi-cloud scenario, including a system for ma...

  20. Rackspace: Significance of Cloud Computing to CERN

    CERN Document Server

    CERN. Geneva

    2015-01-01

    The research collaboration between Rackspace and CERN is contributing to how OpenStack cloud computing will move science work around the world for CERN, and to reducing the barriers between clouds for Rackspace.

  1. A high performance scientific cloud computing environment for materials simulations

    CERN Document Server

    Jorissen, Kevin; Rehr, John J

    2011-01-01

    We describe the development of a scientific cloud computing (SCC) platform that offers high performance computation capability. The platform consists of a scientific virtual machine prototype containing a UNIX operating system and several materials science codes, together with essential interface tools (an SCC toolset) that offers functionality comparable to local compute clusters. In particular, our SCC toolset provides automatic creation of virtual clusters for parallel computing, including tools for execution and monitoring performance, as well as efficient I/O utilities that enable seamless connections to and from the cloud. Our SCC platform is optimized for the Amazon Elastic Compute Cloud (EC2). We present benchmarks for prototypical scientific applications and demonstrate performance comparable to local compute clusters. To facilitate code execution and provide user-friendly access, we have also integrated cloud computing capability in a JAVA-based GUI. Our SCC platform may be an alternative to traditi...

  2. Federated and Cloud Enabled Resources for Data Management and Utilization

    Science.gov (United States)

    Rankin, R.; Gordon, M.; Potter, R. G.; Satchwill, B.

    2011-12-01

    The emergence of cloud computing over the past three years has led to a paradigm shift in how data can be managed, processed and made accessible. Building on the federated data management system offered through the Canadian Space Science Data Portal (www.cssdp.ca), we demonstrate how heterogeneous and geographically distributed data sets and modeling tools have been integrated to form a virtual data center and computational modeling platform that has services for data processing and visualization embedded within it. We also discuss positive and negative experiences in utilizing Eucalyptus and OpenStack cloud applications, and job scheduling facilitated by Condor and Star Cluster. We summarize our findings by demonstrating use of these technologies in the Cloud Enabled Space Weather Data Assimilation and Modeling Platform CESWP (www.ceswp.ca), which is funded through Canarie's (canarie.ca) Network Enabled Platforms program in Canada.

  3. Privacy and legal issues in cloud computing

    CERN Document Server

    Weber, Rolf H

    2015-01-01

    Adopting a multi-disciplinary and comparative approach, this book focuses on emerging and innovative attempts to tackle privacy and legal issues in cloud computing, such as personal data privacy, security and intellectual property protection. Leading international academics and practitioners in the fields of law and computer science examine the specific legal implications of cloud computing pertaining to jurisdiction, biomedical practice and information ownership. This collection offers original and critical responses to the rising challenges posed by cloud computing.

  4. Securing the Cloud Cloud Computer Security Techniques and Tactics

    CERN Document Server

    Winkler, Vic (JR)

    2011-01-01

    As companies turn to cloud computing technology to streamline and save money, security is a fundamental concern. Loss of certain control and lack of trust make this transition difficult unless you know how to handle it. Securing the Cloud discusses making the move to the cloud while securing your peice of it! The cloud offers felxibility, adaptability, scalability, and in the case of security-resilience. This book details the strengths and weaknesses of securing your company's information with different cloud approaches. Attacks can focus on your infrastructure, communications network, data, o

  5. VMware private cloud computing with vCloud director

    CERN Document Server

    Gallagher, Simon

    2013-01-01

    It's All About Delivering Service with vCloud Director Empowered by virtualization, companies are not just moving into the cloud, they're moving into private clouds for greater security, flexibility, and cost savings. However, this move involves more than just infrastructure. It also represents a different business model and a new way to provide services. In this detailed book, VMware vExpert Simon Gallagher makes sense of private cloud computing for IT administrators. From basic cloud theory and strategies for adoption to practical implementation, he covers all the issues. You'll lea

  6. Eucalyptus: an open-source cloud computing infrastructure

    Energy Technology Data Exchange (ETDEWEB)

    Nurmi, Daniel; Wolski, Rich; Grzegorczyk, Chris; Obertelli, Graziano; Soman, Sunil; Youseff, Lamia; Zagorodnov, Dmitrii, E-mail: rich@cs.ucsb.ed [Computer Science Department, University of California, Santa Barbara, CA 93106 (United States) and Eucalyptus Systems Inc., 130 Castilian Dr., Goleta, CA 93117 (United States)

    2009-07-01

    Utility computing, elastic computing, and cloud computing are all terms that refer to the concept of dynamically provisioning processing time and storage space from a ubiquitous 'cloud' of computational resources. Such systems allow users to acquire and release the resources on demand and provide ready access to data from processing elements, while relegating the physical location and exact parameters of the resources. Over the past few years, such systems have become increasingly popular, but nearly all current cloud computing offerings are either proprietary or depend upon software infrastructure that is invisible to the research community. In this work, we present Eucalyptus, an open-source software implementation of cloud computing that utilizes compute resources that are typically available to researchers, such as clusters and workstation farms. In order to foster community research exploration of cloud computing systems, the design of Eucalyptus emphasizes modularity, allowing researchers to experiment with their own security, scalability, scheduling, and interface implementations. In this paper, we outline the design of Eucalyptus, describe our own implementations of the modular system components, and provide results from experiments that measure performance and scalability of a Eucalyptus installation currently deployed for public use. The main contribution of our work is the presentation of the first research-oriented open-source cloud computing system focused on enabling methodical investigations into the programming, administration, and deployment of systems exploring this novel distributed computing model.

  7. Cloudbus Toolkit for Market-Oriented Cloud Computing

    Science.gov (United States)

    Buyya, Rajkumar; Pandey, Suraj; Vecchiola, Christian

    This keynote paper: (1) presents the 21st century vision of computing and identifies various IT paradigms promising to deliver computing as a utility; (2) defines the architecture for creating market-oriented Clouds and computing atmosphere by leveraging technologies such as virtual machines; (3) provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; (4) presents the work carried out as part of our new Cloud Computing initiative, called Cloudbus: (i) Aneka, a Platform as a Service software system containing SDK (Software Development Kit) for construction of Cloud applications and deployment on private or public Clouds, in addition to supporting market-oriented resource management; (ii) internetworking of Clouds for dynamic creation of federated computing environments for scaling of elastic applications; (iii) creation of 3rd party Cloud brokering services for building content delivery networks and e-Science applications and their deployment on capabilities of IaaS providers such as Amazon along with Grid mashups; (iv) CloudSim supporting modelling and simulation of Clouds for performance studies; (v) Energy Efficient Resource Allocation Mechanisms and Techniques for creation and management of Green Clouds; and (vi) pathways for future research.

  8. Cloud Computing with iPlant Atmosphere.

    Science.gov (United States)

    McKay, Sheldon J; Skidmore, Edwin J; LaRose, Christopher J; Mercer, Andre W; Noutsos, Christos

    2013-10-15

    Cloud Computing refers to distributed computing platforms that use virtualization software to provide easy access to physical computing infrastructure and data storage, typically administered through a Web interface. Cloud-based computing provides access to powerful servers, with specific software and virtual hardware configurations, while eliminating the initial capital cost of expensive computers and reducing the ongoing operating costs of system administration, maintenance contracts, power consumption, and cooling. This eliminates a significant barrier to entry into bioinformatics and high-performance computing for many researchers. This is especially true of free or modestly priced cloud computing services. The iPlant Collaborative offers a free cloud computing service, Atmosphere, which allows users to easily create and use instances on virtual servers preconfigured for their analytical needs. Atmosphere is a self-service, on-demand platform for scientific computing. This unit demonstrates how to set up, access and use cloud computing in Atmosphere.

  9. Study on the application of mobile internet cloud computing platform

    Science.gov (United States)

    Gong, Songchun; Fu, Songyin; Chen, Zheng

    2012-04-01

    The innovative development of computer technology promotes the application of the cloud computing platform, which actually is the substitution and exchange of a sort of resource service models and meets the needs of users on the utilization of different resources after changes and adjustments of multiple aspects. "Cloud computing" owns advantages in many aspects which not merely reduce the difficulties to apply the operating system and also make it easy for users to search, acquire and process the resources. In accordance with this point, the author takes the management of digital libraries as the research focus in this paper, and analyzes the key technologies of the mobile internet cloud computing platform in the operation process. The popularization and promotion of computer technology drive people to create the digital library models, and its core idea is to strengthen the optimal management of the library resource information through computers and construct an inquiry and search platform with high performance, allowing the users to access to the necessary information resources at any time. However, the cloud computing is able to promote the computations within the computers to distribute in a large number of distributed computers, and hence implement the connection service of multiple computers. The digital libraries, as a typical representative of the applications of the cloud computing, can be used to carry out an analysis on the key technologies of the cloud computing.

  10. Cloud computing: An innovative tool for library services

    OpenAIRE

    R. Sahu

    2015-01-01

    Cloud computing is a new technique of information communication technology because of its potential benefits such as reduced cost, accessible anywhere any time as well as its elasticity and flexibility. In this Paper defines cloud Computing, definition, essential characteristics, model of cloud computing, components of cloud, advantages & drawbacks of cloud computing and also describe cloud computing in libraries.

  11. A Framework for Secure Cloud Computing

    Directory of Open Access Journals (Sweden)

    Ahmed E. Youssef

    2012-07-01

    Full Text Available Cloud computing is one of the most discussed topics today in the field of information technology. It introduces a new Internet-based environment for on-demand, dynamic provision of reconfigurable computing resources. The biggest challenge in cloud computing is the security and privacy problems caused by its multi-tenancy nature and the outsourcing of infrastructure, sensitive data and critical applications. In this paper, we propose a framework that identifies security and privacy challenges in cloud computing. It highlights cloud-specific attacks and risks and clearly illustrates their mitigations and countermeasures. We also propose a generic cloud computing security model that helps satisfy security and privacy requirements in the clouds and protect them against various vulnerabilities. The purpose of this work is to advise on security and privacy considerations that should be taken and solutions that might be considered when using the cloud environment by individuals and organizations.

  12. Cloud Computing Security Latest Issues amp Countermeasures

    Directory of Open Access Journals (Sweden)

    Shelveen Pandey

    2015-08-01

    Full Text Available Abstract Cloud computing describes effective computing services provided by a third-party organization known as cloud service provider for organizations to perform different tasks over the internet for a fee. Cloud service providers computing resources are dynamically reallocated per demand and their infrastructure platform and software and other resources are shared by multiple corporate and private clients. With the steady increase in the number of cloud computing subscribers of these shared resources over the years security on the cloud is a growing concern. In this review paper the current cloud security issues and practices are described and a few innovative solutions are proposed that can help improve cloud computing security in the future.

  13. Enabling Earth Science Through Cloud Computing

    Science.gov (United States)

    Hardman, Sean; Riofrio, Andres; Shams, Khawaja; Freeborn, Dana; Springer, Paul; Chafin, Brian

    2012-01-01

    Cloud Computing holds tremendous potential for missions across the National Aeronautics and Space Administration. Several flight missions are already benefiting from an investment in cloud computing for mission critical pipelines and services through faster processing time, higher availability, and drastically lower costs available on cloud systems. However, these processes do not currently extend to general scientific algorithms relevant to earth science missions. The members of the Airborne Cloud Computing Environment task at the Jet Propulsion Laboratory have worked closely with the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) mission to integrate cloud computing into their science data processing pipeline. This paper details the efforts involved in deploying a science data system for the CARVE mission, evaluating and integrating cloud computing solutions with the system and porting their science algorithms for execution in a cloud environment.

  14. Enabling Earth Science Through Cloud Computing

    Science.gov (United States)

    Hardman, Sean; Riofrio, Andres; Shams, Khawaja; Freeborn, Dana; Springer, Paul; Chafin, Brian

    2012-01-01

    Cloud Computing holds tremendous potential for missions across the National Aeronautics and Space Administration. Several flight missions are already benefiting from an investment in cloud computing for mission critical pipelines and services through faster processing time, higher availability, and drastically lower costs available on cloud systems. However, these processes do not currently extend to general scientific algorithms relevant to earth science missions. The members of the Airborne Cloud Computing Environment task at the Jet Propulsion Laboratory have worked closely with the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) mission to integrate cloud computing into their science data processing pipeline. This paper details the efforts involved in deploying a science data system for the CARVE mission, evaluating and integrating cloud computing solutions with the system and porting their science algorithms for execution in a cloud environment.

  15. Airborne Cloud Computing Environment (ACCE)

    Science.gov (United States)

    Hardman, Sean; Freeborn, Dana; Crichton, Dan; Law, Emily; Kay-Im, Liz

    2011-01-01

    Airborne Cloud Computing Environment (ACCE) is JPL's internal investment to improve the return on airborne missions. Improve development performance of the data system. Improve return on the captured science data. The investment is to develop a common science data system capability for airborne instruments that encompasses the end-to-end lifecycle covering planning, provisioning of data system capabilities, and support for scientific analysis in order to improve the quality, cost effectiveness, and capabilities to enable new scientific discovery and research in earth observation.

  16. Airborne Cloud Computing Environment (ACCE)

    Science.gov (United States)

    Hardman, Sean; Freeborn, Dana; Crichton, Dan; Law, Emily; Kay-Im, Liz

    2011-01-01

    Airborne Cloud Computing Environment (ACCE) is JPL's internal investment to improve the return on airborne missions. Improve development performance of the data system. Improve return on the captured science data. The investment is to develop a common science data system capability for airborne instruments that encompasses the end-to-end lifecycle covering planning, provisioning of data system capabilities, and support for scientific analysis in order to improve the quality, cost effectiveness, and capabilities to enable new scientific discovery and research in earth observation.

  17. Facilitating NASA Earth Science Data Processing Using Nebula Cloud Computing

    Science.gov (United States)

    Pham, Long; Chen, Aijun; Kempler, Steven; Lynnes, Christopher; Theobald, Michael; Asghar, Esfandiari; Campino, Jane; Vollmer, Bruce

    2011-01-01

    Cloud Computing has been implemented in several commercial arenas. The NASA Nebula Cloud Computing platform is an Infrastructure as a Service (IaaS) built in 2008 at NASA Ames Research Center and 2010 at GSFC. Nebula is an open source Cloud platform intended to: a) Make NASA realize significant cost savings through efficient resource utilization, reduced energy consumption, and reduced labor costs. b) Provide an easier way for NASA scientists and researchers to efficiently explore and share large and complex data sets. c) Allow customers to provision, manage, and decommission computing capabilities on an as-needed bases

  18. Efficient Resource Management in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Rushikesh Shingade

    2015-12-01

    Full Text Available Cloud computing, one of the widely used technology to provide cloud services for users who are charged for receiving services. In the aspect of a maximum number of resources, evaluating the performance of Cloud resource management policies are difficult to optimize efficiently. There are different simulation toolkits available for simulation and modelling the Cloud computing environment like GridSim CloudAnalyst, CloudSim, GreenCloud, CloudAuction etc. In proposed Efficient Resource Management in Cloud Computing (EFRE model, CloudSim is used as a simulation toolkit that allows simulation of DataCenter in Cloud computing system. The CloudSim toolkit also supports the creation of multiple virtual machines (VMs on a node of a DataCenter where cloudlets (user requests are assigned to virtual machines by scheduling policies. This paper represents, allocation policies, Time-Shared and Space-Shared are used for scheduling the cloudlets and compared with the constraints (metrics like total execution time, a number of resources and resource allocation algorithm. CloudSim has been used for simulations and the result of simulation demonstrate that Resource Management is effective.

  19. High-Performance Cloud Computing: A View of Scientific Applications

    CERN Document Server

    Vecchiola, Christian; Buyya, Rajkumar

    2009-01-01

    Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by using high-performance computing solutions and installed facilities such as clusters and super computers, which are difficult to setup, maintain, and operate. Cloud computing provides scientists with a completely new model of utilizing the computing infrastructure. Compute resources, storage resources, as well as applications, can be dynamically provisioned (and integrated within the existing infrastructure) on a pay per use basis. These resources can be released when they are no more needed. Such services are often offered within the context of a Service Level Agreement (SLA), which ensure the desired Quality of Service (QoS). Aneka, an enterprise Cloud computing solution, harnesses the power of compute resources by relying on private and public Clouds and delivers to users the desired QoS. Its flexible and service based infrastructure...

  20. Scalable distributed computing hierarchy: cloud, fog and dew computing

    OpenAIRE

    Skala, Karolj; Davidović, Davor; Afgan, Enis; Sović, Ivan; Šojat, Zorislav

    2015-01-01

    The paper considers the conceptual approach for organization of the vertical hierarchical links between the scalable distributed computing paradigms: Cloud Computing, Fog Computing and Dew Computing. In this paper, the Dew Computing is described and recognized as a new structural layer in the existing distributed computing hierarchy. In the existing computing hierarchy, the Dew computing is positioned as the ground level for the Cloud and Fog computing paradigms. Vertical, complementary, hier...

  1. Implementation of cloud computing in higher education

    Science.gov (United States)

    Asniar; Budiawan, R.

    2016-04-01

    Cloud computing research is a new trend in distributed computing, where people have developed service and SOA (Service Oriented Architecture) based application. This technology is very useful to be implemented, especially for higher education. This research is studied the need and feasibility for the suitability of cloud computing in higher education then propose the model of cloud computing service in higher education in Indonesia that can be implemented in order to support academic activities. Literature study is used as the research methodology to get a proposed model of cloud computing in higher education. Finally, SaaS and IaaS are cloud computing service that proposed to be implemented in higher education in Indonesia and cloud hybrid is the service model that can be recommended.

  2. Development and Utilization of Chinese Government Information in Library Based on Cloud Computing%基于云计算的中国政府信息资源的图书馆开发利用

    Institute of Scientific and Technical Information of China (English)

    汪正坤; 彭国莉; 刘喜文; 张丽梅; 吕先竞

    2012-01-01

    文章在介绍云计算、云服务相关概念的基础上,指出基于云计算的中国政府信息资源的图书馆开发利用可以考虑从云基础设施IaaS服务、云存储服务、云SaaS服务、云计算平台服务、云安全服务着手,可以采取"国家图书馆+省级中心"或"国家图书馆+公共图书馆中心、高校图书馆中心、专业图书馆中心"的模式。%Based on the introduction of cloud computing and cloud service,the paper points out that Infrastructure as a Service(IaaS),Aspen Cloud Storage,Software as a Service(SaaS),Platform as a Service(PaaS)and Cloud Security should be taken into consideration when developing and utilize cloud computing-based Chinese government information in library.In addition,the model of "national library + provincial library" or "national library + public libraryacademic libraryspecial library" can also be applied.

  3. Icebergs in the Clouds: the Other Risks of Cloud Computing

    CERN Document Server

    Ford, Bryan

    2012-01-01

    Cloud computing is appealing from management and efficiency perspectives, but brings risks both known and unknown. Well-known and hotly-debated information security risks, due to software vulnerabilities, insider attacks, and side-channels for example, may be only the "tip of the iceberg." As diverse, independently developed cloud services share ever more fluidly and aggressively multiplexed hardware resource pools, unpredictable interactions between load-balancing and other reactive mechanisms could lead to dynamic instabilities or "meltdowns." Non-transparent layering structures, where alternative cloud services may appear independent but share deep, hidden resource dependencies, may create unexpected and potentially catastrophic failure correlations, reminiscent of financial industry crashes. Finally, cloud computing exacerbates already-difficult digital preservation challenges, because only the provider of a cloud-based application or service has the ability to archive a "live," functional copy of a cloud...

  4. Survey: Risk Assessment for Cloud Computing

    Directory of Open Access Journals (Sweden)

    Drissi S.

    2013-01-01

    Full Text Available with the increase in the growth of cloud computing and the changes in technology that have resulted a new ways for cloud providers to deliver their services to cloud consumers, the cloud consumers should be aware of the risks and vulnerabilities present in the current cloud computing environment. An information security risk assessment is designed specifically for that task. However, there is lack of structured risk assessment approach to do it. This paper aims to survey existing knowledge regarding risk assessment for cloud computing and analyze existing use cases from cloud computing to identify the level of risk assessment realization in state of art systems and emerging challenges for future research.

  5. Cloud computing can simplify HIT infrastructure management.

    Science.gov (United States)

    Glaser, John

    2011-08-01

    Software as a Service (SaaS), built on cloud computing technology, is emerging as the forerunner in IT infrastructure because it helps healthcare providers reduce capital investments. Cloud computing leads to predictable, monthly, fixed operating expenses for hospital IT staff. Outsourced cloud computing facilities are state-of-the-art data centers boasting some of the most sophisticated networking equipment on the market. The SaaS model helps hospitals safeguard against technology obsolescence, minimizes maintenance requirements, and simplifies management.

  6. Evolution of Cloud Storage as Cloud Computing Infrastructure Service

    OpenAIRE

    Rajan, Arokia Paul; Shanmugapriyaa

    2013-01-01

    Enterprises are driving towards less cost, more availability, agility, managed risk - all of which is accelerated towards Cloud Computing. Cloud is not a particular product, but a way of delivering IT services that are consumable on demand, elastic to scale up and down as needed, and follow a pay-for-usage model. Out of the three common types of cloud computing service models, Infrastructure as a Service (IaaS) is a service model that provides servers, computing power, network bandwidth and S...

  7. Cloud Security A Comprehensive Guide to Secure Cloud Computing

    CERN Document Server

    Krutz, Ronald L

    2010-01-01

    Well-known security experts decipher the most challenging aspect of cloud computing-security. Cloud computing allows for both large and small organizations to have the opportunity to use Internet-based services so that they can reduce start-up costs, lower capital expenditures, use services on a pay-as-you-use basis, access applications only as needed, and quickly reduce or increase capacities. However, these benefits are accompanied by a myriad of security issues, and this valuable book tackles the most common security challenges that cloud computing faces. The authors offer you years of unpa

  8. New mechanism for Cloud Computing Storage Security

    Directory of Open Access Journals (Sweden)

    Almokhtar Ait El Mrabti

    2016-07-01

    Full Text Available Cloud computing, often referred to as simply the cloud, appears as an emerging computing paradigm which promises to radically change the way computer applications and services are constructed, delivered, managed and finally guaranteed as dynamic computing environments for end users. The cloud is the delivery of on-demand computing resources - everything from applications to data centers - over the Internet on a pay-for-use basis. The revolution of cloud computing has provided opportunities for research in all aspects of cloud computing. Despite the big progress in cloud computing technologies, funding concerns in cloud, security may limit a broader adoption. This paper presents a technique to tolerate both accidental and intentional faults, which is fragmentation-redundancy-scattering (FRS. The possibility to use the FRS technique as an intrusion tolerance one is investigated for providing secure and dependable storage in the cloud environment. Also a cloud computing security (CCS based on the FRS technique is proposed to explore how this proposal can then be used via several scenarios. To demonstrate the robustness of the proposal, we formalize our design and we carry out a security as well as performance evaluations of the approach and we compare it with the classical model. The paper concludes by strongly suggesting future research proposals for the CCS framework.

  9. Implementing and developing cloud computing applications

    CERN Document Server

    Sarna, David E Y

    2010-01-01

    From small start-ups to major corporations, companies of all sizes have embraced cloud computing for the scalability, reliability, and cost benefits it can provide. It has even been said that cloud computing may have a greater effect on our lives than the PC and dot-com revolutions combined.Filled with comparative charts and decision trees, Implementing and Developing Cloud Computing Applications explains exactly what it takes to build robust and highly scalable cloud computing applications in any organization. Covering the major commercial offerings available, it provides authoritative guidan

  10. Incentive mechanisms for Opportunistic Cloud Computing Services

    DEFF Research Database (Denmark)

    Kuada, Eric; Olesen, Henning

    2012-01-01

    Opportunistic Cloud Computing Service (OCCS) is a social network approach to the provisioning and management of cloud computing services for enterprises. The OCCS network may suffer from the free riding problem where members are selfish and will only want to use services on the platform without e......, incentive compatibility, allocative efficiency, robustness, and flexible to accommodate changing user behavior on the platform.......Opportunistic Cloud Computing Service (OCCS) is a social network approach to the provisioning and management of cloud computing services for enterprises. The OCCS network may suffer from the free riding problem where members are selfish and will only want to use services on the platform without...

  11. When cloud computing meets bioinformatics: a review.

    Science.gov (United States)

    Zhou, Shuigeng; Liao, Ruiqi; Guan, Jihong

    2013-10-01

    In the past decades, with the rapid development of high-throughput technologies, biology research has generated an unprecedented amount of data. In order to store and process such a great amount of data, cloud computing and MapReduce were applied to many fields of bioinformatics. In this paper, we first introduce the basic concepts of cloud computing and MapReduce, and their applications in bioinformatics. We then highlight some problems challenging the applications of cloud computing and MapReduce to bioinformatics. Finally, we give a brief guideline for using cloud computing in biology research.

  12. Cloud Computing for Complex Performance Codes.

    Energy Technology Data Exchange (ETDEWEB)

    Appel, Gordon John [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Hadgu, Teklu [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Klein, Brandon Thorin [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Miner, John Gifford [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2017-02-01

    This report describes the use of cloud computing services for running complex public domain performance assessment problems. The work consisted of two phases: Phase 1 was to demonstrate complex codes, on several differently configured servers, could run and compute trivial small scale problems in a commercial cloud infrastructure. Phase 2 focused on proving non-trivial large scale problems could be computed in the commercial cloud environment. The cloud computing effort was successfully applied using codes of interest to the geohydrology and nuclear waste disposal modeling community.

  13. Efficient Architectural Framework for Cloud Computing

    Directory of Open Access Journals (Sweden)

    Souvik Pal

    2012-06-01

    Full Text Available Cloud computing is that enables adaptive, favorable and on-demand network access to a collective pool of adjustable and configurable computing physical resources which networks, servers, bandwidth, storage that can be swiftly provisioned and released with negligible supervision endeavor or service provider interaction. From business prospective, the viable achievements of Cloud Computing and recent developments in Grid computing have brought the platform that has introduced virtualization technology into the era of high performance computing. However, clouds are Internet-based concept and try to disguise complexity overhead for end users. Cloud service providers (CSPs use many structural designs combined with self-service capabilities and ready-to-use facilities for computing resources, which are enabled through network infrastructure especially the internet which is an important consideration. This paper provides an efficient architectural Framework for cloud computing that may lead to better performance and faster access.

  14. Research on Key Technologies of Cloud Computing

    Science.gov (United States)

    Zhang, Shufen; Yan, Hongcan; Chen, Xuebin

    With the development of multi-core processors, virtualization, distributed storage, broadband Internet and automatic management, a new type of computing mode named cloud computing is produced. It distributes computation task on the resource pool which consists of massive computers, so the application systems can obtain the computing power, the storage space and software service according to its demand. It can concentrate all the computing resources and manage them automatically by the software without intervene. This makes application offers not to annoy for tedious details and more absorbed in his business. It will be advantageous to innovation and reduce cost. It's the ultimate goal of cloud computing to provide calculation, services and applications as a public facility for the public, So that people can use the computer resources just like using water, electricity, gas and telephone. Currently, the understanding of cloud computing is developing and changing constantly, cloud computing still has no unanimous definition. This paper describes three main service forms of cloud computing: SAAS, PAAS, IAAS, compared the definition of cloud computing which is given by Google, Amazon, IBM and other companies, summarized the basic characteristics of cloud computing, and emphasized on the key technologies such as data storage, data management, virtualization and programming model.

  15. Authentication Methods in Cloud Computing: A Survey

    Directory of Open Access Journals (Sweden)

    Mahnoush Babaeizadeh

    2015-03-01

    Full Text Available This study presents a review on the various methods of authentication in cloud environment. Authentication plays an important role in security of Cloud Computing (CC. It protects Cloud Service Providers (CSP against various types of attacks, where the aim is to verify a user’s identity when a user wishes to request services from cloud servers. There are multiple authentication technologies that verify the identity of a user before granting access to resources.

  16. Cloud Computing for Technical and Online Organizations

    Directory of Open Access Journals (Sweden)

    Hagos Tesfahun Gebremichael

    2016-07-01

    Full Text Available Cloud computing is a new computing model which is based on the grid computing, distributed computing, parallel computing and virtualization technologies define the shape of a new technology.It is the core technology of the next generation of network computing platform, especially in the field of education and online.Cloud computing as an exciting development in an educational Institute and online perspective.Cloud computing services are growing necessity for business organizations as well as for technical educational institutions.Students and administrative personnel have the opportunity to quickly and economically access various application platforms and resources through the web pages on-demand.Application of storage technology can significantly reduce the amount of cloud storage servers, thereby reducing system development costs, reduce the system caused by the server a single point of failure. Cloud storage services meet this demand by providing transparent and reliable storage solutions.In this paper shows that the cloud computing plays an important role in the fields of Technical Educational Institutions and Online.The research study shows that the cloud platform is valued for both students and instructors to achieve the course objective and the nature, benefits and cloud computing services, as a platform for Educational environment and online.

  17. Utility Computing: Reality and Beyond

    Science.gov (United States)

    Ivanov, Ivan I.

    Utility Computing is not a new concept. It involves organizing and providing a wide range of computing-related services as public utilities. Much like water, gas, electricity and telecommunications, the concept of computing as public utility was announced in 1955. Utility Computing remained a concept for near 50 years. Now some models and forms of Utility Computing are emerging such as storage and server virtualization, grid computing, and automated provisioning. Recent trends in Utility Computing as a complex technology involve business procedures that could profoundly transform the nature of companies' IT services, organizational IT strategies and technology infrastructure, and business models. In the ultimate Utility Computing models, organizations will be able to acquire as much IT services as they need, whenever and wherever they need them. Based on networked businesses and new secure online applications, Utility Computing would facilitate "agility-integration" of IT resources and services within and between virtual companies. With the application of Utility Computing there could be concealment of the complexity of IT, reduction of operational expenses, and converting of IT costs to variable `on-demand' services. How far should technology, business and society go to adopt Utility Computing forms, modes and models?

  18. The basics of cloud computing understanding the fundamentals of cloud computing in theory and practice

    CERN Document Server

    Rountree, Derrick

    2013-01-01

    As part of the Syngress Basics series, The Basics of Cloud Computing provides readers with an overview of the cloud and how to implement cloud computing in their organizations. Cloud computing continues to grow in popularity, and while many people hear the term and use it in conversation, many are confused by it or unaware of what it really means. This book helps readers understand what the cloud is and how to work with it, even if it isn't a part of their day-to-day responsibility. Authors Derrick Rountree and Ileana Castrillo explains the concepts of cloud computing in prac

  19. Reviews on Security Issues and Challenges in Cloud Computing

    Science.gov (United States)

    An, Y. Z.; Zaaba, Z. F.; Samsudin, N. F.

    2016-11-01

    Cloud computing is an Internet-based computing service provided by the third party allowing share of resources and data among devices. It is widely used in many organizations nowadays and becoming more popular because it changes the way of how the Information Technology (IT) of an organization is organized and managed. It provides lots of benefits such as simplicity and lower costs, almost unlimited storage, least maintenance, easy utilization, backup and recovery, continuous availability, quality of service, automated software integration, scalability, flexibility and reliability, easy access to information, elasticity, quick deployment and lower barrier to entry. While there is increasing use of cloud computing service in this new era, the security issues of the cloud computing become a challenges. Cloud computing must be safe and secure enough to ensure the privacy of the users. This paper firstly lists out the architecture of the cloud computing, then discuss the most common security issues of using cloud and some solutions to the security issues since security is one of the most critical aspect in cloud computing due to the sensitivity of user's data.

  20. The Evolution of Cloud Computing in ATLAS

    Science.gov (United States)

    Taylor, Ryan P.; Berghaus, Frank; Brasolin, Franco; Domingues Cordeiro, Cristovao Jose; Desmarais, Ron; Field, Laurence; Gable, Ian; Giordano, Domenico; Di Girolamo, Alessandro; Hover, John; LeBlanc, Matthew; Love, Peter; Paterson, Michael; Sobie, Randall; Zaytsev, Alexandr

    2015-12-01

    The ATLAS experiment at the LHC has successfully incorporated cloud computing technology and cloud resources into its primarily grid-based model of distributed computing. Cloud R&D activities continue to mature and transition into stable production systems, while ongoing evolutionary changes are still needed to adapt and refine the approaches used, in response to changes in prevailing cloud technology. In addition, completely new developments are needed to handle emerging requirements. This paper describes the overall evolution of cloud computing in ATLAS. The current status of the virtual machine (VM) management systems used for harnessing Infrastructure as a Service resources are discussed. Monitoring and accounting systems tailored for clouds are needed to complete the integration of cloud resources within ATLAS' distributed computing framework. We are developing and deploying new solutions to address the challenge of operation in a geographically distributed multi-cloud scenario, including a system for managing VM images across multiple clouds, a system for dynamic location-based discovery of caching proxy servers, and the usage of a data federation to unify the worldwide grid of storage elements into a single namespace and access point. The usage of the experiment's high level trigger farm for Monte Carlo production, in a specialized cloud environment, is presented. Finally, we evaluate and compare the performance of commercial clouds using several benchmarks.

  1. Performance Comparision of Dynamic Load Balancing Algorithm in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Yogita kaushik

    2016-08-01

    Full Text Available Cloud computing as a distributed paradigm, it has the latent to make over a large part of the Cooperative industry. In cloud computing it’s automatically describe more technologies like distributed computing, virtualization, software, web services and networking. We review the new cloud computing technologies, and indicate the main challenges for their development in future, among which load balancing problem stands out and attracts our attention Concept of load balancing in networking and in cloud environment both are widely different. Load balancing in networking its complete concern to avoid the problem of overloading and under loading in any sever networking cloud computing its complete different its involves different elements metrics such as security, reliability, throughput, tolerance, on demand services, cost etc. Through these elements we avoiding various node problem of distributing system where many services waiting for request and others are heavily loaded and through these its increase response time and degraded performance optimization. In this paper first we classify algorithms in static and dynamic. Then we analyzed the dynamic algorithms applied in dynamics environments in cloud. Through this paper we have been show compression of various dynamics algorithm in which we include honey bee algorithm, throttled algorithm, Biased random algorithm with different elements and describe how and which is best in cloud environment with different metrics mainly used elements are performance, resource utilization and minimum cost. Our main focus of paper is in the analyze various load balancing algorithms and their applicability in cloud environment.

  2. Overview of Security issues in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Ajey Singh

    2012-03-01

    Full Text Available Cloud computing may be defined as management and provision of resources, software, applications and information as services over the cloud (internet on demand. Cloud computing comes into focus only when you think about what IT always needs: a way to increase capacity or add capabilities on the fly without investing in new infrastructure, training new personnel, or licensing new software. "Cloud computing continues to gain acceptance as a critical way to deliver on-demand information and resources to customers,” The cloud architecture is implemented in such a way that it provides you the flexibility to share application as well as other network resources (hardware etc[1]. This will lead to a need based flexible architecture where the resources will expand or contract with a little configuration changes. Cloud computing is often provided "as a service" over the Internet, typically in the form of infrastructure as a service (IaaS, platform as a service (PaaS, or software as a service (SaaS.From an end users perspective, you don’t need to care for the OS, the plug-ins, web security or the software platform[2]. Everything should be in place without any worry. This paper focuses on technical security issues in cloud computing, cloud computing has various benefits in an enterprise but major concern is how security is implemented in cloud computing.

  3. Cloud Computing: New Research Perspectives for Computer & Law

    OpenAIRE

    Bourcier, Daniele; De Filippi, Primavera

    2011-01-01

    International audience; Cloud computing represents a new business paradigm whereby a series of computing resources are offered as a service, available on-demand, on a pay-per-use basis, over the Internet. In this paper, we propose a hypothesis of how cloud computing can be described as a complex system and we describe the various risks and opportunities connected with the current implementation cloud computing. We then present a preliminary model for the implementation an automated system of ...

  4. Cloud Computing for Standard ERP Systems

    DEFF Research Database (Denmark)

    Schubert, Petra; Adisa, Femi

    Cloud Computing is a topic that has gained momentum in the last years. Current studies show that an increasing number of companies is evaluating the promised advantages and considering making use of cloud services. In this paper we investigate the phenomenon of cloud computing and its importance...... for the operation of ERP systems. We argue that the phenomenon of cloud computing could lead to a decisive change in the way business software is deployed in companies. Our reference framework contains three levels (IaaS, PaaS, SaaS) and clarifies the meaning of public, private and hybrid clouds. The three levels...... of cloud computing and their impact on ERP systems operation are discussed. From the literature we identify areas for future research and propose a research agenda....

  5. Use of cloud computing in biomedicine.

    Science.gov (United States)

    Sobeslav, Vladimir; Maresova, Petra; Krejcar, Ondrej; Franca, Tanos C C; Kuca, Kamil

    2016-12-01

    Nowadays, biomedicine is characterised by a growing need for processing of large amounts of data in real time. This leads to new requirements for information and communication technologies (ICT). Cloud computing offers a solution to these requirements and provides many advantages, such as cost savings, elasticity and scalability of using ICT. The aim of this paper is to explore the concept of cloud computing and the related use of this concept in the area of biomedicine. Authors offer a comprehensive analysis of the implementation of the cloud computing approach in biomedical research, decomposed into infrastructure, platform and service layer, and a recommendation for processing large amounts of data in biomedicine. Firstly, the paper describes the appropriate forms and technological solutions of cloud computing. Secondly, the high-end computing paradigm of cloud computing aspects is analysed. Finally, the potential and current use of applications in scientific research of this technology in biomedicine is discussed.

  6. Quantitative Investigation of the Technologies That Support Cloud Computing

    Science.gov (United States)

    Hu, Wenjin

    2014-01-01

    Cloud computing is dramatically shaping modern IT infrastructure. It virtualizes computing resources, provides elastic scalability, serves as a pay-as-you-use utility, simplifies the IT administrators' daily tasks, enhances the mobility and collaboration of data, and increases user productivity. We focus on providing generalized black-box…

  7. Quantitative Investigation of the Technologies That Support Cloud Computing

    Science.gov (United States)

    Hu, Wenjin

    2014-01-01

    Cloud computing is dramatically shaping modern IT infrastructure. It virtualizes computing resources, provides elastic scalability, serves as a pay-as-you-use utility, simplifies the IT administrators' daily tasks, enhances the mobility and collaboration of data, and increases user productivity. We focus on providing generalized black-box…

  8. Cloud Computing and Business Intelligence

    Directory of Open Access Journals (Sweden)

    Alexandru Adrian TOLE

    2015-03-01

    Full Text Available The complexity of data resulting from business process is becoming overwhelming for the systems that don't use shared resources. Many aspects of the business process must be recorded and analysed in a short period of time with no errors at all. In order to obtain these results, so that management and other departments know what their next decision/job will be, there must be a continuous exchange and processing of information. "Cloud Computing" is the solution to overcome the problem of processing large amounts of data. By using this technology organizations have the benefit of using shared resources from various systems that are able to face large amount of data processing. This benefits does not only resume to a high performance system but also the costs of using such architecture are much lower.

  9. Virtualization and cloud computing in dentistry.

    Science.gov (United States)

    Chow, Frank; Muftu, Ali; Shorter, Richard

    2014-01-01

    The use of virtualization and cloud computing has changed the way we use computers. Virtualization is a method of placing software called a hypervisor on the hardware of a computer or a host operating system. It allows a guest operating system to run on top of the physical computer with a virtual machine (i.e., virtual computer). Virtualization allows multiple virtual computers to run on top of one physical computer and to share its hardware resources, such as printers, scanners, and modems. This increases the efficient use of the computer by decreasing costs (e.g., hardware, electricity administration, and management) since only one physical computer is needed and running. This virtualization platform is the basis for cloud computing. It has expanded into areas of server and storage virtualization. One of the commonly used dental storage systems is cloud storage. Patient information is encrypted as required by the Health Insurance Portability and Accountability Act (HIPAA) and stored on off-site private cloud services for a monthly service fee. As computer costs continue to increase, so too will the need for more storage and processing power. Virtual and cloud computing will be a method for dentists to minimize costs and maximize computer efficiency in the near future. This article will provide some useful information on current uses of cloud computing.

  10. Data Security and Privacy in Cloud Computing

    OpenAIRE

    Yunchuan Sun; Junsheng Zhang; Yongping Xiong; Guangyu Zhu

    2014-01-01

    Data security has consistently been a major issue in information technology. In the cloud computing environment, it becomes particularly serious because the data is located in different places even in all the globe. Data security and privacy protection are the two main factors of user’s concerns about the cloud technology. Though many techniques on the topics in cloud computing have been investigated in both academics and industries, data security and privacy protection are becoming more impo...

  11. Distributed Cloud Computing (Dagstuhl Seminar 15072)

    OpenAIRE

    Coady, Yvonne; Kempf, James; McGeer, Rick; Schmid, Stefan

    2015-01-01

    This report documents the program and the outcomes of Dagstuhl Seminar 15072 "Distributed Cloud Computing". A distributed cloud connecting multiple, geographically distributed and smaller datacenters, can be an attractive alternative to today's massive, centralized datacenters. A distributed cloud can reduce communication overheads, costs, and latency's by offering nearby computation and storage resources. Better data locality can also improve privacy. In this seminar, we revisit the vision o...

  12. Cloud computing technology framework and reducing risks

    OpenAIRE

    Akrir, Khaled Ali Ahmed

    2015-01-01

    The thesis investigates, in a qualitative way, the vectors that contribute to cloud computing risks in the areas of security, business, and compliance. The focus of this research is on the identification of risk vectors that affect cloud computing and the creation of a framework that can help IT managers in their cloud adoption process. Economic pressures on businesses are creating a demand for an alternative delivery of the model that can provide flexible payments, dramatic cuts in capital i...

  13. Cloud Computing for Standard ERP Systems

    DEFF Research Database (Denmark)

    Schubert, Petra; Adisa, Femi

    for the operation of ERP systems. We argue that the phenomenon of cloud computing could lead to a decisive change in the way business software is deployed in companies. Our reference framework contains three levels (IaaS, PaaS, SaaS) and clarifies the meaning of public, private and hybrid clouds. The three levels...... of cloud computing and their impact on ERP systems operation are discussed. From the literature we identify areas for future research and propose a research agenda....

  14. Security Management Model in Cloud Computing Environment

    OpenAIRE

    2016-01-01

    In the cloud computing environment, cloud virtual machine (VM) will be more and more the number of virtual machine security and management faced giant Challenge. In order to address security issues cloud computing virtualization environment, this paper presents a virtual machine based on efficient and dynamic deployment VM security management model state migration and scheduling, study of which virtual machine security architecture, based on AHP (Analytic Hierarchy Process) virtual machine de...

  15. Levels of Security Issues in Cloud Computing

    Directory of Open Access Journals (Sweden)

    R. Charanya

    2013-04-01

    Full Text Available Nowadays, Cloud computing is booming in most of the IT industry. Most of the organizations are moving to cloud computing due to various reasons. It provide elastic architecture accessible through internet and also it eliminate the setting up of high cost computing infrastructure for the IT based solutions and services. Cloud computing is pay-per-use model, on-demand network access to a sharedpool of configurable computing resources like Application-as a service, Platform as a services and infrastructure as a services. In this paper, survey of security issues at different levels such as application level, host level and network level is presented.

  16. Incentive mechanisms for Opportunistic Cloud Computing Services

    DEFF Research Database (Denmark)

    Kuada, Eric; Olesen, Henning

    2012-01-01

    Opportunistic Cloud Computing Service (OCCS) is a social network approach to the provisioning and management of cloud computing services for enterprises. The OCCS network may suffer from the free riding problem where members are selfish and will only want to use services on the platform without...

  17. Cloud Computing in Mobile Communication Networks

    Institute of Scientific and Technical Information of China (English)

    Xinzhi Ouyang

    2011-01-01

    Cloud computing makes computing power universally available and provides flexibility in resource acquisition. It allows for scalable provision of services and more reasonable use of resources. This article considers cloud service deployment and virtualization from the perspective of mobile operators. A solution is proposed that allows mobile operators to maximize profits with minimal investment,

  18. Performing quantum computing experiments in the cloud

    Science.gov (United States)

    Devitt, Simon J.

    2016-09-01

    Quantum computing technology has reached a second renaissance in the past five years. Increased interest from both the private and public sector combined with extraordinary theoretical and experimental progress has solidified this technology as a major advancement in the 21st century. As anticipated my many, some of the first realizations of quantum computing technology has occured over the cloud, with users logging onto dedicated hardware over the classical internet. Recently, IBM has released the Quantum Experience, which allows users to access a five-qubit quantum processor. In this paper we take advantage of this online availability of actual quantum hardware and present four quantum information experiments. We utilize the IBM chip to realize protocols in quantum error correction, quantum arithmetic, quantum graph theory, and fault-tolerant quantum computation by accessing the device remotely through the cloud. While the results are subject to significant noise, the correct results are returned from the chip. This demonstrates the power of experimental groups opening up their technology to a wider audience and will hopefully allow for the next stage of development in quantum information technology.

  19. Enhancing Trusted Cloud Computing Platform for Infrastructure as a Service

    Directory of Open Access Journals (Sweden)

    KIM, H.

    2017-02-01

    Full Text Available The characteristics of cloud computing including on-demand self-service, resource pooling, and rapid elasticity have made it grow in popularity. However, security concerns still obstruct widespread adoption of cloud computing in the industry. Especially, security risks related to virtual machine make cloud users worry about exposure of their private data in IaaS environment. In this paper, we propose an enhanced trusted cloud computing platform to provide confidentiality and integrity of the user's data and computation. The presented platform provides secure and efficient virtual machine management protocols not only to protect against eavesdropping and tampering during transfer but also to guarantee the virtual machine is hosted only on the trusted cloud nodes against inside attackers. The protocols utilize both symmetric key operations and public key operations together with efficient node authentication model, hence both the computational cost for cryptographic operations and the communication steps are significantly reduced. As a result, the simulation shows the performance of the proposed platform is approximately doubled compared to the previous platforms. The proposed platform eliminates cloud users' worry above by providing confidentiality and integrity of their private data with better performance, and thus it contributes to wider industry adoption of cloud computing.

  20. An Efficient Virtual Machine Consolidation Scheme for Multimedia Cloud Computing.

    Science.gov (United States)

    Han, Guangjie; Que, Wenhui; Jia, Gangyong; Shu, Lei

    2016-02-18

    Cloud computing has innovated the IT industry in recent years, as it can delivery subscription-based services to users in the pay-as-you-go model. Meanwhile, multimedia cloud computing is emerging based on cloud computing to provide a variety of media services on the Internet. However, with the growing popularity of multimedia cloud computing, its large energy consumption cannot only contribute to greenhouse gas emissions, but also result in the rising of cloud users' costs. Therefore, the multimedia cloud providers should try to minimize its energy consumption as much as possible while satisfying the consumers' resource requirements and guaranteeing quality of service (QoS). In this paper, we have proposed a remaining utilization-aware (RUA) algorithm for virtual machine (VM) placement, and a power-aware algorithm (PA) is proposed to find proper hosts to shut down for energy saving. These two algorithms have been combined and applied to cloud data centers for completing the process of VM consolidation. Simulation results have shown that there exists a trade-off between the cloud data center's energy consumption and service-level agreement (SLA) violations. Besides, the RUA algorithm is able to deal with variable workload to prevent hosts from overloading after VM placement and to reduce the SLA violations dramatically.

  1. Consolidation of Cloud Computing in ATLAS

    CERN Document Server

    AUTHOR|(INSPIRE)INSPIRE-00224309; The ATLAS collaboration; Cordeiro, Cristovao; Hover, John; Kouba, Tomas; Love, Peter; Mcnab, Andrew; Schovancova, Jaroslava; Sobie, Randall; Giordano, Domenico

    2017-01-01

    Throughout the first half of LHC Run 2, ATLAS cloud computing has undergone a period of consolidation, characterized by building upon previously established systems, with the aim of reducing operational effort, improving robustness, and reaching higher scale. This paper describes the current state of ATLAS cloud computing. Cloud activities are converging on a common contextualization approach for virtual machines, and cloud resources are sharing monitoring and service discovery components. We describe the integration of Vac resources, streamlined usage of the Simulation at Point 1 cloud for offline processing, extreme scaling on Amazon compute resources, and procurement of commercial cloud capacity in Europe. Finally, building on the previously established monitoring infrastructure, we have deployed a real-time monitoring and alerting platform which coalesces data from multiple sources, provides flexible visualization via customizable dashboards, and issues alerts and carries out corrective actions in respons...

  2. A SECURITY FRAMEWORK IN CLOUD COMPUTING INFRASTRUCTURE

    Directory of Open Access Journals (Sweden)

    Arijit Ukil

    2013-09-01

    Full Text Available In a typical cloud computing diverse facilitating components like hardware, software, firmware,networking, and services integrate to offer different computational facilities, while Internet or a privatenetwork (or VPN provides the required backbone to deliver the services. The security risks to the cloud system delimit the benefits of cloud computing like “on-demand, customized resource availability and performance management”. It is understood that current IT and enterprise security solutions are not adequate to address the cloud security issues. This paper explores the challenges and issues of security concerns of cloud computing through different standard and novel solutions. We propose analysis and architecture for incorporating different security schemes, techniques and protocols for cloud computing,particularly in Infrastructure-as-a-Service (IaaS and Platform-as-a-Service (PaaS systems. The proposedarchitecture is generic in nature, not dependent on the type of cloud deployment, application agnostic and is not coupled with the underlying backbone. This would facilitate to manage the cloud system more effectively and provide the administrator to include the specific solution to counter the threat. We have also shown using experimental data how a cloud service provider can estimate the charging based on the security service it provides and security-related cost-benefit analysis can be estimated.

  3. Current Trends in Cloud Computing A Survey of Cloud Computing Systems

    Directory of Open Access Journals (Sweden)

    Harjit Singh

    2012-06-01

    Full Text Available Cloud computing that has become an increasingly important trend, is a virtualization technology that uses the internet and central remote servers to offer the sharing of resources that include infrastructures, software, applications and business processes to the market environment to fulfill the elastic demand. In today’s competitive environment, the service vitality, elasticity, choices and flexibility offered by this scalable technology are too attractive that makes the cloud computing to increasingly becoming an integral part of the enterprise computing environment. This paper presents a survey of the current state of Cloud Computing. It includes a discussion of the evolution process of cloud computing, characteristics of Cloud, current technologies adopted in cloud computing, This paper also presents a comparative study of cloud computing platforms (Amazon, Google and Microsoft, and its challenges.

  4. Service level agreements for cloud computing

    CERN Document Server

    Wieder, Philipp; Theilmann, Wolfgang

    2011-01-01

    Service Level Agreements for Cloud Computing provides a unique combination of business-driven application scenarios and advanced research in the area of service-level agreements for Clouds and service-oriented infrastructures. Current state-of-the-art research findings are presented in this book, as well as business-ready solutions applicable to Cloud infrastructures or ERP (Enterprise Resource Planning) environments. Service Level Agreements for Cloud Computing contributes to the various levels of service-level management from the infrastructure over the software to the business layer, includ

  5. Cloudonomics the business value of cloud computing

    CERN Document Server

    Weinman, Joe

    2012-01-01

    The ultimate guide to assessing and exploiting the customer value and revenue potential of the Cloud A new business model is sweeping the world—the Cloud. And, as with any new technology, there is a great deal of fear, uncertainty, and doubt surrounding cloud computing. Cloudonomics radically upends the conventional wisdom, clearly explains the underlying principles and illustrates through understandable examples how Cloud computing can create compelling value—whether you are a customer, a provider, a strategist, or an investor. Cloudonomics covers everything you need to consider f

  6. Cloud Computing: Key to IT Development in West Africa

    African Journals Online (AJOL)

    PROF. O. E. OSUAGWU

    2013-12-01

    Dec 1, 2013 ... Keywords: Cloud; Cloud Computing, Cyber Threat, Infrastructure And Revolution. Introduction. Cloud computing ... host system that lets one computer support multiple, identical ... PHYSICAL HOST HARDWARE. APP,. APP…

  7. Overview of Security issues in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Mr. Ajey Singh

    2012-03-01

    Full Text Available Cloud computing may be defined as management andprovision of resources, software, applications andinformation as services over the cloud (internet on demand.Cloud computing comes into focus only when you thinkabout what IT always needs: a way to increase capacity oradd capabilities on the fly without investing in newinfrastructure, training new personnel, or licensing newsoftware. "Cloud computing continues to gain acceptanceas a critical way to deliver on-demand information andresources to customers,” The cloud architecture isimplemented in such a way that it provides you the flexibilityto share application as well as other network resources(hardware etc[1]. This will lead to a need based flexiblearchitecture where the resources will expand or contractwith a little configuration changes. Cloud computing isoften provided "as a service" over the Internet, typically inthe form of infrastructure as a service (IaaS, platform as aservice (PaaS, or software as a service (SaaS.From an endusers perspective, you don’t need to care for the OS, theplug-ins, web security or the software platform[2].Everything should be in place without any worry. This paperfocuses on technical security issues in cloud computing,cloud computing has various benefits in an enterprise butmajor concern is how security is implemented in cloudcomputing.

  8. Lecture 4: Cloud Computing in Large Computer Centers

    CERN Document Server

    CERN. Geneva

    2013-01-01

    This lecture will introduce Cloud Computing concepts identifying and analyzing its characteristics, models, and applications. Also, you will learn how CERN built its Cloud infrastructure and which tools are been used to deploy and manage it. About the speaker: Belmiro Moreira is an enthusiastic software engineer passionate about the challenges and complexities of architecting and deploying Cloud Infrastructures in ve...

  9. Innovative Use of Cloud Computing in Smart Phone Technology

    Directory of Open Access Journals (Sweden)

    Vaibhav Rana

    2013-07-01

    Full Text Available This paper elaborates the vital and innovative use of Cloud computing in the field of Smart Phone Technology. In the proposed environment there is a cloud server installed at the central place called as cloud center of mobile computing. The function of cloud computing is to accept the request of the end users and process the required applications accordingly. Henceforth this server is fully equipped with all advance ICT infrastructure, mobile communication utilities and full security measure, so that every feature can be used with full security. All users are having equal priority to get connection with the cloud server and use every application as well as each function equally. Due to use of this modern technology the main advantage is that a single entity is being used by many remote users for various requirements at the same time without occupying much space and infrastructure. The resulting new paradigm of mobile cloud computing is being embraced by researchers, professionals and practitioners as an exciting new way to extend the capabilities of mobile devices and mobile platforms. This has the potential for profound impacts on the business environment and people's daily life. The most salient feature of the system is that by the use of this infrastructure we can perform mobile communication and electronic communication by a single unit and the same communication spectrum. The presented cloud computing technology offers a natural solution for expending the limited capabilities of mobile devices. This process makes the whole communication system cost effective, efficient, transparent, modular system.

  10. ATLAS Cloud Computing R&D project

    CERN Document Server

    Panitkin, S; The ATLAS collaboration; Caballero Bejar, J; Benjamin, D; DiGirolamo, A; Gable, I; Hendrix, V; Hover, J; Kucharczuk, K; Medrano LLamas, R; Ohman, H; Paterson, M; Sobie, R; Taylor, R; Walker, R; Zaytsev, A

    2013-01-01

    The computing model of the ATLAS experiment was designed around the concept of grid computing and, since the start of data taking, this model has proven very successful. However, new cloud computing technologies bring attractive features to improve the operations and elasticity of scientific distributed computing. ATLAS sees grid and cloud computing as complementary technologies that will coexist at different levels of resource abstraction, and two years ago created an R&D working group to investigate the different integration scenarios. The ATLAS Cloud Computing R&D has been able to demonstrate the feasibility of offloading work from grid to cloud sites and, as of today, is able to integrate transparently various cloud resources into the PanDA workload management system. The ATLAS Cloud Computing R&D is operating various PanDA queues on private and public resources and has provided several hundred thousand CPU days to the experiment. As a result, the ATLAS Cloud Computing R&D group has gained...

  11. Analisis Model Manajemen Insiden Berbasis Cloud Computing

    Directory of Open Access Journals (Sweden)

    Anggi Sukamto

    2015-05-01

    Full Text Available Dukungan teknologi informasi yang diterapkan oleh organisasi membutuhkan suatu manajemen agar penggunaannya dapat memenuhi tujuan penerapan teknologi tersebut. Salah satu kerangka kerja manajemen layanan teknologi informasi yang dapat diadopsi oleh organisasi adalah Information Technology Infrastructure Library (ITIL. Dukungan layanan (service support merupakan bagian dari proses ITIL. Pada umumnya, aktivitas dukungan layanan dilaksanakan dengan penggunaan teknologi yang dapat diakses melalui internet. Kondisi tersebut mengarah pada suatu konsep cloud computing. Cloud computing memungkinkan suatu instansi atau perusahaan untuk bisa mengatur sumber daya melalui jaringan internet. Fokus penelitian ini adalah menganalisis proses dan pelaku yang terlibat dalam dukungan layanan khususnya pada proses manajemen insiden, serta mengidentifikasi potensi penyerahan pelaku ke bentuk layanan cloud computing. Berdasarkan analisis yang dilakukan maka usulan model manajemen insiden berbasis cloud ini dapat diterapkan dalam suatu organisasi yang telah menggunakan teknologi komputer untuk mendukung kegiatan operasional. Kata Kunci—Cloud computing, ITIL, Manajemen Insiden, Service Support, Service Desk.

  12. Cloud Computing Through Mobile-Learning

    CERN Document Server

    Rao, N Mallikharjuna; Kumar, V Sathyendra

    2012-01-01

    Cloud computing is the new technology that has various advantages and it is an adoptable technology in this present scenario. The main advantage of the cloud computing is that this technology reduces the cost effectiveness for the implementation of the Hardware, software and License for all. This is the better peak time to analyze the cloud and its implementation and better use it for the development of the quality and low cost education for all over the world. In this paper, we discuss how to influence on cloud computing and influence on this technology to take education to a wider mass of students over the country. We believe cloud computing will surely improve the current system of education and improve quality at an affordable cost.

  13. Volunteered Cloud Computing for Disaster Management

    Science.gov (United States)

    Evans, J. D.; Hao, W.; Chettri, S. R.

    2014-12-01

    Disaster management relies increasingly on interpreting earth observations and running numerical models; which require significant computing capacity - usually on short notice and at irregular intervals. Peak computing demand during event detection, hazard assessment, or incident response may exceed agency budgets; however some of it can be met through volunteered computing, which distributes subtasks to participating computers via the Internet. This approach has enabled large projects in mathematics, basic science, and climate research to harness the slack computing capacity of thousands of desktop computers. This capacity is likely to diminish as desktops give way to battery-powered mobile devices (laptops, smartphones, tablets) in the consumer market; but as cloud computing becomes commonplace, it may offer significant slack capacity -- if its users are given an easy, trustworthy mechanism for participating. Such a "volunteered cloud computing" mechanism would also offer several advantages over traditional volunteered computing: tasks distributed within a cloud have fewer bandwidth limitations; granular billing mechanisms allow small slices of "interstitial" computing at no marginal cost; and virtual storage volumes allow in-depth, reversible machine reconfiguration. Volunteered cloud computing is especially suitable for "embarrassingly parallel" tasks, including ones requiring large data volumes: examples in disaster management include near-real-time image interpretation, pattern / trend detection, or large model ensembles. In the context of a major disaster, we estimate that cloud users (if suitably informed) might volunteer hundreds to thousands of CPU cores across a large provider such as Amazon Web Services. To explore this potential, we are building a volunteered cloud computing platform and targeting it to a disaster management context. Using a lightweight, fault-tolerant network protocol, this platform helps cloud users join parallel computing projects

  14. Effective Customer Relationship Management Using Cloud Computing

    OpenAIRE

    Jeflea Victor; Zaharescu Eugen

    2011-01-01

    Cloud Computing provides a variable platform for organizations to build their infrastructures upon and to make resources available online. These resources can range from effective CRM (Customer Relationship Management) to extensive ERP (Enterprise Resource Planning). Cloud computing, as a distributed architecture that centralizes server resources on a scalable platform, allows these companies to benefit from accessing an online environment providing on demand computing resources and services....

  15. A cost modelling system for cloud computing

    OpenAIRE

    Ajeh, Daniel; Ellman, Jeremy; Keogh, Shelagh

    2014-01-01

    An advance in technology unlocks new opportunities for organizations to increase their productivity, efficiency and process automation while reducing the cost of doing business as well. The emergence of cloud computing addresses these prospects through the provision of agile systems that are scalable, flexible and reliable as well as cost effective. Cloud computing has made hosting and deployment of computing resources cheaper and easier with no up-front charges but pay per-use flexible payme...

  16. Consolidation of Cloud Computing in ATLAS

    CERN Document Server

    Taylor, Ryan P.; The ATLAS collaboration; Di Girolamo, Alessandro; Hover, John; Kouba, Tomas; Love, Peter; Mcnab, Andrew; Schovancova, Jaroslava; Sobie, Randall

    2016-01-01

    Throughout the first year of LHC Run 2, ATLAS Cloud Computing has undergone a period of consolidation, characterized by building upon previously established systems, with the aim of reducing operational effort, improving robustness, and reaching higher scale. This paper describes the current state of ATLAS Cloud Computing. Cloud activities are converging on a common contextualization approach for virtual machines, and cloud resources are sharing monitoring and service discovery components. We describe the integration of Vac resources, streamlined usage of the High Level Trigger cloud for simulation and reconstruction, extreme scaling on Amazon EC2, and procurement of commercial cloud capacity in Europe. Building on the previously established monitoring infrastructure, we have deployed a real-time monitoring and alerting platform which coalesces data from multiple sources, provides flexible visualization via customizable dashboards, and issues alerts and carries out corrective actions in response to problems. ...

  17. Cloud Computing and Its Applications in GIS

    Science.gov (United States)

    Kang, Cao

    2011-12-01

    Cloud computing is a novel computing paradigm that offers highly scalable and highly available distributed computing services. The objectives of this research are to: 1. analyze and understand cloud computing and its potential for GIS; 2. discover the feasibilities of migrating truly spatial GIS algorithms to distributed computing infrastructures; 3. explore a solution to host and serve large volumes of raster GIS data efficiently and speedily. These objectives thus form the basis for three professional articles. The first article is entitled "Cloud Computing and Its Applications in GIS". This paper introduces the concept, structure, and features of cloud computing. Features of cloud computing such as scalability, parallelization, and high availability make it a very capable computing paradigm. Unlike High Performance Computing (HPC), cloud computing uses inexpensive commodity computers. The uniform administration systems in cloud computing make it easier to use than GRID computing. Potential advantages of cloud-based GIS systems such as lower barrier to entry are consequently presented. Three cloud-based GIS system architectures are proposed: public cloud- based GIS systems, private cloud-based GIS systems and hybrid cloud-based GIS systems. Public cloud-based GIS systems provide the lowest entry barriers for users among these three architectures, but their advantages are offset by data security and privacy related issues. Private cloud-based GIS systems provide the best data protection, though they have the highest entry barriers. Hybrid cloud-based GIS systems provide a compromise between these extremes. The second article is entitled "A cloud computing algorithm for the calculation of Euclidian distance for raster GIS". Euclidean distance is a truly spatial GIS algorithm. Classical algorithms such as the pushbroom and growth ring techniques require computational propagation through the entire raster image, which makes it incompatible with the distributed nature

  18. REVIEW PAPER ON MOBILE CLOUD COMPUTING SECURITY

    Directory of Open Access Journals (Sweden)

    Priyanka d. Raut

    2015-10-01

    Full Text Available Nowadays smart-phones are being capable of supporting a broad range of applications, many of which demand an increasing computational power. This leads to a challenge because smart-phones are resource-constrained devices with finite computation power, memory, storage, and energy. With the development of mobility and cloud computing, mobile cloud computing (MCC has introduced and become a point of research. With the need of extendibility and on-demand self-service, it can provide the good infrastructure, platform and software services in a cloud to mobile clients through the mobile network. Therefore, Cloud computing is anticipated to bring an innovation in mobile computing, where the mobile devices can make use of clouds for data processing, storage and other intensive operations. Despite the surprising advancement achieved by MCC, the clients of MCC are still below expectations due to the related risks in terms of security and confidentiality. The more and more information is placed onto the cloud by individuals and enterprises, the more the security issue begins to grow. This paper presents the various security issues that arise about how secure the mobile cloud computing environment is.

  19. Hidden in the Clouds: New Ideas in Cloud Computing

    CERN Document Server

    CERN. Geneva

    2013-01-01

    Abstract: Cloud computing has become a hot topic. But 'cloud' is no newer in 2013 than MapReduce was in 2005: We've been doing both for years. So why is cloud more relevant today than it ever has been? In this presentation, we will introduce the (current) central thesis of cloud computing, and explore how and why (or even whether) the concept has evolved. While we will cover a little light background, our primary focus will be on the consequences, corollaries and techniques introduced by some of the leading cloud developers and organizations. We each have a different deployment model, different applications and workloads, and many of us are still learning to efficiently exploit the platform services offered by a modern implementation. The discussion will offer the opportunity to share these experiences and help us all to realize the benefits of cloud computing to the fullest degree. Please bring questions and opinions, and be ready to share both!   Bio: S...

  20. Personal healthcare system using cloud computing.

    Science.gov (United States)

    Takeuchi, Hiroshi; Mayuzumi, Yuuki; Kodama, Naoki; Sato, Keiichi

    2013-01-01

    A personal healthcare system used with cloud computing has been developed. It enables a daily time-series of personal health and lifestyle data to be stored in the cloud through mobile devices. The cloud automatically extracts personally useful information, such as rules and patterns concerning lifestyle and health conditions embedded in the personal big data, by using a data mining technology. The system provides three editions (Diet, Lite, and Pro) corresponding to users' needs.

  1. Cloud computing for business the Open Group guide

    CERN Document Server

    Harding, Chris

    2011-01-01

    The Open Group?s long awaited guidance on Cloud is now published!Cloud Computing is the major evolution today in computing. It describes how the internet has enabled organizations to access computing resources as a commodity and when needed ? in much the same way as households access household utilities.For Enterprises with complex and expensive IT systems, the idea of paying on demand for someone else to provide IT services is attractive. This authoritative guide is specifically designed for business managers to understand the benefits that can be achieved; includingImproved timeliness and ag

  2. Comparison of Workflow Scheduling Algorithms in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Navjot Kaur

    2011-10-01

    Full Text Available Cloud computing has gained popularity in recent times. Cloud computing is internet based computing, whereby shared resources, software and information are provided to computers and other devices on demand, like a public utility. Cloud computing is technology that uses the internet and central remote servers to maintain data and applications. This technology allows consumers and businesses to use application without installation and access their personal files at any computer with internet access. The main aim of my work is to study various problems, issues and types of scheduling algorithms for cloud workflows as well as on designing new workflow algorithms for cloud Workflow management system. The proposed algorithms are implemented on real time cloud which is developed using Microsoft .Net Technologies. The algorithms are compared with each other on the basis of parameters like Total execution time, Execution time for algorithm, Estimated execution time. Experimental results generated via simulation shown that Algorithm 2 is much better than Algorithm 1, as it reduced makespan time.

  3. 基于马尔可夫链的校园云平台效用分析%Utility Analyzing of Campus-wide Cloud Computing Platform Based on Markov Chain

    Institute of Scientific and Technical Information of China (English)

    戢瑶; 胥光辉; 毛东方; 韩晶

    2013-01-01

    There are many problems of high energy consumption,low efficiency,and waste,which can be solved by cloud computing.However,what rate of resource utilization has been improved by cloud computing and what influence should be figured.This paper gave a brief description on the campus-wide cloud computing platform,analyzed the cost of the datacenter and the user instances,put forward a cost-utility function,made a Markov queuing model,researched the resource allocation and scheduling policies,used CloudSim to simulate the Markov queuing model,discussed the optimization strategies.By madding and simulating the model,the rate of resource utilization in the campus network can be improved evidently and the cost can be reduced,or the QoS can be improved by using proper policy.%校园网存在能耗高、效率低、浪费多等诸多问题,其可以通过云计算来解决,但云计算所带来的效益增长并没有一个很好的标准.对校园云平台进行了简单描述,对数据中心的成本、用户实例的成本进行了分析,提出了校园云平台成本效用函数.建立了校园云平台马尔可夫链模型来分析负载均衡策略和贪心策略.使用CloudSim对校园云平台进行仿真,对模型进行验证分析和比较.通过建立模型和仿真分析得知,建立云平台,采用不同的策略,可以有效提高校园用资源利用率以降低成本,或者提供更好的服务质量.

  4. CLOUD COMPUTING WITH BIG DATA: A REVIEW

    OpenAIRE

    Anjali; Er. Amandeep Kaur; Mrs. Shakshi

    2016-01-01

    Big data is a collection of huge quantities of data. Big data is the process of examining large amounts of data. Big data and Cloud computing are the hot issues in Information Technology. Big data is the one of the main problem now a day’s. Researchers focusing how to handle huge amount of data with cloud computing and how to gain a perfect security for big data in cloud computing. To handle the Big Data problem Hadoop framework is used in which data is fragmented and executed parallel....

  5. Reliability and Availability of Cloud Computing

    CERN Document Server

    Bauer, Eric

    2012-01-01

    A holistic approach to service reliability and availability of cloud computing Reliability and Availability of Cloud Computing provides IS/IT system and solution architects, developers, and engineers with the knowledge needed to assess the impact of virtualization and cloud computing on service reliability and availability. It reveals how to select the most appropriate design for reliability diligence to assure that user expectations are met. Organized in three parts (basics, risk analysis, and recommendations), this resource is accessible to readers of diverse backgrounds and experience le

  6. Study on global cloud computing research trend

    Science.gov (United States)

    Ma, Feicheng; Zhan, Nan

    2014-01-01

    Since "cloud computing" was put forward by Google , it quickly became the most popular concept in IT industry and widely permeated into various areas promoted by IBM, Microsoft and other IT industry giants. In this paper the methods of bibliometric analysis were used to investigate the global cloud computing research trend based on Web of Science (WoS) database and the Engineering Index (EI) Compendex database. In this study, the publication, countries, institutes, keywords of the papers was deeply studied in methods of quantitative analysis, figures and tables are used to describe the production and the development trends of cloud computing.

  7. Cloud computing with e-science applications

    CERN Document Server

    Terzo, Olivier

    2015-01-01

    The amount of data in everyday life has been exploding. This data increase has been especially significant in scientific fields, where substantial amounts of data must be captured, communicated, aggregated, stored, and analyzed. Cloud Computing with e-Science Applications explains how cloud computing can improve data management in data-heavy fields such as bioinformatics, earth science, and computer science. The book begins with an overview of cloud models supplied by the National Institute of Standards and Technology (NIST), and then:Discusses the challenges imposed by big data on scientific

  8. Research on preserving User Confidentiality in Cloud Computing - Design of a Confidentiality Framework

    Science.gov (United States)

    Dwivedula, Chaitanya

    2012-03-01

    Cloud Computing creates a dynamic resource sharing platform that provides data analytically to the proficient users who are at demand to access data present in the cloud. As this data is stored outside the data owner's boundaries, they are skeptical for utilizing cloud technology in order to store or access their data from those external cloud providers who are outside their own control environment. There are many issues for these active clients (companies or individuals) to be petrified at the thought of using cloud computing paradigm. Some of the main issues that make the clients swear against Cloud Computing are generated from three important sec

  9. Techniques for Efficiently Ensuring Data Storage Security in Cloud Computing

    DEFF Research Database (Denmark)

    Banoth, Rajkumar

    2011-01-01

    The Cloud Computing is the next generation architecture of IT Enterprise. It moves the application software and databases to the large data centers, where the management of the data and services may not be fully trustworthy. Here, focus is on cloud data storage security, an important aspect...... of quality of service. To ensure the correctness of users’ data in the cloud, we propose an effective and flexible distributed scheme with two salient features. By utilizing the homomorphic token with distributed verification of erasure-coded data, the scheme achieves the integration of storage correctness...

  10. SECURITY AND PRIVACY ISSUES IN CLOUD COMPUTING

    Directory of Open Access Journals (Sweden)

    Amina AIT OUAHMAN

    2014-10-01

    Full Text Available Today, cloud computing is defined and talked about across the ICT industry under different contexts and with different definitions attached to it. It is a new paradigm in the evolution of Information Technology, as it is one of the biggest revolutions in this field to have taken place in recent times. According to the National Institute for Standards and Technology (NIST, “cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services that can be rapidly provisioned and released with minimal management effort or service provider interaction” [1]. The importance of Cloud Computing is increasing and it is receiving a growing attention in the scientific and industrial communities. A study by Gartner [2] considered Cloud Computing as the first among the top 10 most important technologies and with a better prospect in successive years by companies and organizations. Clouds bring out tremendous benefits for both individuals and enterprises. Clouds support economic savings, outsourcing mechanisms, resource sharing, any-where any-time accessibility, on-demand scalability, and service flexibility. Clouds minimize the need for user involvement by masking technical details such as software upgrades, licenses, and maintenance from its customers. Clouds could also offer better security advantages over individual server deployments. Since a cloud aggregates resources, cloud providers charter expert security personnel while typical companies could be limited with a network administrator who might not be well versed in cyber security issues. The new concepts introduced by the clouds, such as computation outsourcing, resource sharing, and external data warehousing, increase the security and privacy concerns and create new security challenges. Moreover, the large scale of the clouds, the proliferation of mobile access devices (e

  11. Cloud Computing in the EU Policy Sphere

    NARCIS (Netherlands)

    Sluijs, J.P.J.B.; Larouche, P.; Sauter, W.

    2011-01-01

    Cloud computing is a new development that is based on the premise that data and applications are stored centrally and can be accessed through the Internet. Our Article sets up a broad analysis of how the emergence of clouds relates to European law. We single out European competition law, network reg

  12. OpenStack cloud computing cookbook

    CERN Document Server

    Jackson, Kevin

    2013-01-01

    A Cookbook full of practical and applicable recipes that will enable you to use the full capabilities of OpenStack like never before.This book is aimed at system administrators and technical architects moving from a virtualized environment to cloud environments with familiarity of cloud computing platforms. Knowledge of virtualization and managing linux environments is expected.

  13. Cloud Computing in the EU Policy Sphere

    NARCIS (Netherlands)

    Sluijs, J.P.J.B.; Larouche, P.; Sauter, W.

    2011-01-01

    Cloud computing is a new development that is based on the premise that data and applications are stored centrally and can be accessed through the Internet. Our Article sets up a broad analysis of how the emergence of clouds relates to European law. We single out European competition law, network

  14. An Early Evaluation and Comparison of Three Private Cloud Computing Software Platforms

    Institute of Scientific and Technical Information of China (English)

    Farrukh Nadeem; Rizwan Qaiser

    2015-01-01

    Cloud computing, after its success as a commercial infrastructure, is now emerging as a private infrastructure. The software platforms available to build private cloud computing infrastructure vary in their performance for management of cloud resources as well as in utilization of local physical resources. Organizations and individuals looking forward to reaping the benefits of private cloud computing need to understand which software platform would provide the efficient services and optimum utilization of cloud resources for their target applications. In this paper, we present our initial study on performance evaluation and comparison of three cloud computing software platforms from the perspective of common cloud users who intend to build their private clouds. We compare the performance of the selected software platforms from several respects describing their suitability for applications from different domains. Our results highlight the critical parameters for performance evaluation of a software platform and the best software platform for different application domains.

  15. Space Situational Awareness Data Processing Scalability Utilizing Google Cloud Services

    Science.gov (United States)

    Greenly, D.; Duncan, M.; Wysack, J.; Flores, F.

    Space Situational Awareness (SSA) is a fundamental and critical component of current space operations. The term SSA encompasses the awareness, understanding and predictability of all objects in space. As the population of orbital space objects and debris increases, the number of collision avoidance maneuvers grows and prompts the need for accurate and timely process measures. The SSA mission continually evolves to near real-time assessment and analysis demanding the need for higher processing capabilities. By conventional methods, meeting these demands requires the integration of new hardware to keep pace with the growing complexity of maneuver planning algorithms. SpaceNav has implemented a highly scalable architecture that will track satellites and debris by utilizing powerful virtual machines on the Google Cloud Platform. SpaceNav algorithms for processing CDMs outpace conventional means. A robust processing environment for tracking data, collision avoidance maneuvers and various other aspects of SSA can be created and deleted on demand. Migrating SpaceNav tools and algorithms into the Google Cloud Platform will be discussed and the trials and tribulations involved. Information will be shared on how and why certain cloud products were used as well as integration techniques that were implemented. Key items to be presented are: 1.Scientific algorithms and SpaceNav tools integrated into a scalable architecture a) Maneuver Planning b) Parallel Processing c) Monte Carlo Simulations d) Optimization Algorithms e) SW Application Development/Integration into the Google Cloud Platform 2. Compute Engine Processing a) Application Engine Automated Processing b) Performance testing and Performance Scalability c) Cloud MySQL databases and Database Scalability d) Cloud Data Storage e) Redundancy and Availability

  16. Dynamic integration of remote cloud resources into local computing clusters

    Energy Technology Data Exchange (ETDEWEB)

    Fleig, Georg; Erli, Guenther; Giffels, Manuel; Hauth, Thomas; Quast, Guenter; Schnepf, Matthias [Institut fuer Experimentelle Kernphysik, Karlsruher Institut fuer Technologie (Germany)

    2016-07-01

    In modern high-energy physics (HEP) experiments enormous amounts of data are analyzed and simulated. Traditionally dedicated HEP computing centers are built or extended to meet this steadily increasing demand for computing resources. Nowadays it is more reasonable and more flexible to utilize computing power at remote data centers providing regular cloud services to users as they can be operated in a more efficient manner. This approach uses virtualization and allows the HEP community to run virtual machines containing a dedicated operating system and transparent access to the required software stack on almost any cloud site. The dynamic management of virtual machines depending on the demand for computing power is essential for cost efficient operation and sharing of resources with other communities. For this purpose the EKP developed the on-demand cloud manager ROCED for dynamic instantiation and integration of virtualized worker nodes into the institute's computing cluster. This contribution will report on the concept of our cloud manager and the implementation utilizing a remote OpenStack cloud site and a shared HPC center (bwForCluster located in Freiburg).

  17. Exposing cloud computing as a failure

    Directory of Open Access Journals (Sweden)

    Vikas Kumar Chauhan

    2012-04-01

    Full Text Available Cloud Computing is considered to be the architecture of the IT enterprise for the next generation. With an ever-growing list of cloud computing service providers, the decision for enterprises on how far to leverage computing platforms and with whom is quite complex. Cloud Computing has replaced the traditional solutions, where the IT services are under proper physical, logical and personnel controls by moving the application software and databases to the large data centers. But there the management of the data and services may not be fully trustworthy and is bound to failure. This exclusive aspect of cloud computing, however, causes many new challenges like data failure and disasters. In this paper, we have focused on exposing the various aspects of failure in cloud computing, which has always been an important aspect of the safety and consistency of data and quality of service. We characterize the problems and the impact of failure and disasters of cloud computing with few examples. In addition, and equally importantly, we describe how the complexity of the failure increases with the complexity of the system.

  18. Cloud Computing : Research Issues and Implications

    Directory of Open Access Journals (Sweden)

    Marupaka Rajenda Prasad

    2013-01-01

    Full Text Available Cloud computing is a rapidly developing and excellent promising technology. It has aroused the concern of the computer society of whole world. Cloud computing is Internet-based computing, whereby shared information, resources, and software, are provided to terminals and portable devices on-demand, like the energy grid. Cloud computing is the product of the combination of grid computing, distributed computing, parallel computing, and ubiquitous computing. It aims to build and forecast sophisticated service environment with powerful computing capabilities through an array of relatively low-cost computing entity, and using the advanced deployment models like SaaS (Software as a Service, PaaS (Platform as a Service, IaaS (Infrastructure as a Service,HaaS (Hardware as a Service to distribute the powerful computing capacity to end-users. This paper will explore the background and service models and also presents the existing research issues and implications in cloud computing such as security, reliability, privacy, and so on.

  19. The Risk and Challenges of Cloud Computing

    Directory of Open Access Journals (Sweden)

    Usman Namadi Inuwa

    2015-12-01

    Full Text Available Cloud computing is a computing technology aiming to share storage, computation, and services transparently among a massive users. Current cloud computing systems pose serious limitation to protecting the confidentiality of user data. Since the data share and stored is presented in unencrypted forms to remote machines owned and operated by third party service providers despite it sensitivity (example contact address, mails, the risks of disclosing user confidential data by service providers may be quite high and the risk of attacking cloud storage by third party is also increasing. The purpose of this study is to review researches done on this technology, identify the security risk and explore some techniques for protecting users‟ data from attackers in the cloud.

  20. Data Cloud Computing based on LINQ

    Institute of Scientific and Technical Information of China (English)

    Junwen Lu; Yongsheng Hao; Lubin Zheng; Guanfeng Liu

    2015-01-01

    Cloud computing has demonstrated that processing very large datasets over commodity cluster can be done simply given the right programming structure. Work to date, the many choices bring difficulty because it is difficult to make a best selection. The LINQ(Language Integrated Query) programming model can be extended to massively-paralel, data-driven computations. It not only provides a seamless transition path from computing on the top transitional stores like relational databases or XML to computing on the Cloud, but also ofers an object-oriented, compositional model. In this paper, we introduce LINQ into Cloud and discuss LINQ is a good selection for Data Cloud, and then the detail of file system management was described based on LINQ.

  1. Managing Associated Risks in Cloud Computer Applications ...

    African Journals Online (AJOL)

    West African Journal of Industrial and Academic Research ... This paper focuses on an overview of cloud computing as a technology and has chosen ... Java programming language and Google App engine were the tools used to develop and ...

  2. Application of Intelligent Data Mining Approach in Securing the Cloud Computing

    OpenAIRE

    Hanna M. Said; Ibrahim El Emary; Bader A. Alyoubi; Adel A. Alyoubi

    2016-01-01

    Cloud computing is a modern term refers to a model for emerging computing, where it is possible to use machines in large data centers for delivering services in a scalable manner, so corporations has become in need for large scale inexpensive computing. Recently, several governments have begun to utilize cloud computing architectures, applications and platforms for meeting the needs of their constituents and delivering services. Security occupies the first rank of obstacles that face cloud co...

  3. PRIVACY IN CLOUD COMPUTING: A SURVEY

    Directory of Open Access Journals (Sweden)

    Arockiam L

    2012-07-01

    Full Text Available Various cloud computing models are used to increase the profit of an organization. Cloud provides a convenient environment and more advantages to business organizations to run their business. But, it has some issues related to the privacy of data. User’s data are stored and maintained out of user’s premises. The failure of data protection causes many issues like data theft which affects the individual organization. The cloud users may be satisfied, if their data are protected properly from unauthorized access. This paper presents a survey on different privacy issues involved in the cloud service. It also provides some suggestions to the cloud users to select their suitable cloud services by knowing their privacy policies.

  4. Use of the computer program in a cloud computing

    Directory of Open Access Journals (Sweden)

    Radovanović Sanja

    2013-01-01

    Full Text Available Cloud computing represents a specific networking, in which a computer program simulates the operation of one or more server computers. In terms of copyright, all technological processes that take place within the cloud computing are covered by the notion of copying computer programs, and exclusive right of reproduction. However, this right suffers some limitations in order to allow normal use of computer program by users. Based on the fact that the cloud computing is virtualized network, the issue of normal use of the computer program requires to put all aspects of the permitted copying into the context of a specific computing environment and specific processes within the cloud. In this sense, the paper pointed out that the user of a computer program in cloud computing, needs to obtain the consent of the right holder for any act which he undertakes using the program. In other words, the copyright in the cloud computing is a full scale, and thus the freedom of contract (in the case of this particular restriction as well.

  5. The Financial Performance of Cloud Computing

    OpenAIRE

    I-Cheng Chang; Bao-Ru Guo; Chuang-Chun Liu

    2014-01-01

    With advanced information technology, compare to the past operation, the significant difference is the companies no longer need to set up their own costly the large server, instead an external professional supplier "cloud computing" technology would be increasingly adopted nowadays. The main purpose of this study is to examine the financial performance whether would be improved after enterprises implemented cloud computing technology. According to the analysis results, we found that the cost ...

  6. The Role of Networks in Cloud Computing

    Science.gov (United States)

    Lin, Geng; Devine, Mac

    The confluence of technology advancements and business developments in Broadband Internet, Web services, computing systems, and application software over the past decade has created a perfect storm for cloud computing. The "cloud model" of delivering and consuming IT functions as services is poised to fundamentally transform the IT industry and rebalance the inter-relationships among end users, enterprise IT, software companies, and the service providers in the IT ecosystem (Armbrust et al., 2009; Lin, Fu, Zhu, & Dasmalchi, 2009).

  7. Cloud Computing Security in Business Information Systems

    CERN Document Server

    Ristov, Sasko; Kostoska, Magdalena

    2012-01-01

    Cloud computing providers' and customers' services are not only exposed to existing security risks, but, due to multi-tenancy, outsourcing the application and data, and virtualization, they are exposed to the emergent, as well. Therefore, both the cloud providers and customers must establish information security system and trustworthiness each other, as well as end users. In this paper we analyze main international and industrial standards targeting information security and their conformity with cloud computing security challenges. We evaluate that almost all main cloud service providers (CSPs) are ISO 27001:2005 certified, at minimum. As a result, we propose an extension to the ISO 27001:2005 standard with new control objective about virtualization, to retain generic, regardless of company's type, size and nature, that is, to be applicable for cloud systems, as well, where virtualization is its baseline. We also define a quantitative metric and evaluate the importance factor of ISO 27001:2005 control objecti...

  8. TRUSTED CLOUD COMPUTING FRAMEWORK FOR HEALTHCARE SECTOR

    Directory of Open Access Journals (Sweden)

    Mervat Adib Bamiah

    2014-01-01

    Full Text Available Cloud computing is rapidly evolving due to its efficient characteristics such as cost-effectiveness, availability and elasticity. Healthcare organizations and consumers lose control when they outsource their sensitive data and computing resources to a third party Cloud Service Provider (CSP, which may raise security and privacy concerns related to data loss and misuse appealing threats. Lack of consumers’ knowledge about their data storage location may lead to violating rules and regulations of Health Insurance Portability and Accountability Act (HIPAA that can cost them huge penalty. Fear of data breach by internal or external hackers may decrease consumers’ trust in adopting cloud computing and benefiting from its promising features. We designed a Healthcare Trusted Cloud Computing (HTCC framework that maintains security, privacy and considers HIPAA regulations. HTCC framework deploys Trusted Computing Group (TCG technologies such as Trusted Platform Module (TPM, Trusted Software Stack (TSS, virtual Trusted Platform Module (vTPM, Trusted Network Connect (TNC and Self Encrypting Drives (SEDs. We emphasize on using strong multi-factor authentication access control mechanisms and strict security controls, as well as encryption for data at storage, in-transit and while process. We contributed in customizing a cloud Service Level Agreement (SLA by considering healthcare requirements. HTCC was evaluated by comparing with previous researchers’ work and conducting survey from experts. Results were satisfactory and showed acceptance of the framework. We aim that our proposed framework will assist in optimizing trust on cloud computing to be adopted in healthcare sector.

  9. Trends, visions and reality. Cloud computing in the energy industry; Trends, Visionen und Wirklichkeit. Cloud Computing in der Energiewirtschaft

    Energy Technology Data Exchange (ETDEWEB)

    Reuther, Achim [Energy Solution Center (Ensoc) e.V., Karlsruhe (Germany); Maurer, Marion; Pohling, Matthias [Bridging IT GmbH, Mannheim (Germany)

    2011-08-22

    The topic of cloud computing is not only just a temporary hype in the market of information technology, but also a true paradigm shift in the supply and use of information technology services. A sustainable change in the information technology in the energy sector is expected. The authors of the contribution under consideration present current cloud research projects with energy-economic relevance. Some important criteria are presented that should be considered in the selection and use of cloud services. The selective use of cloud services up to the outsourcing of entire business processes of an electric utility in the cloud may provide an added value. Both, current approaches as well as research projects are suitable for the optimization of processes and resources. The numerous possibilities have to be adjusted to the own general conditions.

  10. Secure Data Sharing in Cloud Computing using Hybrid cloud

    Directory of Open Access Journals (Sweden)

    Er. Inderdeep Singh

    2015-06-01

    Full Text Available Cloud computing is fast growing technology that enables the users to store and access their data remotely. Using cloud services users can enjoy the benefits of on-demand cloud applications and data with limited local infrastructure available with them. While accessing the data from cloud, different users may have relationship among them depending on some attributes, and thus sharing of data along with user privacy and data security becomes important to get effective results. Most of the research has been done to secure the data authentication so that user’s don’t lose their private data stored on public cloud. But still data sharing is a significant hurdle to overcome by researchers. Research is going on to provide secure data sharing with enhanced user privacy and data access security. In this paper various research and challenges in this area are discussed in detail. It will definitely help the cloud users to understand the topic and researchers to develop a method to overcome these challenges.

  11. A Review on Modern Distributed Computing Paradigms: Cloud Computing, Jungle Computing and Fog Computing

    OpenAIRE

    Hajibaba, Majid; Gorgin, Saeid

    2014-01-01

    The distributed computing attempts to improve performance in large-scale computing problems by resource sharing. Moreover, rising low-cost computing power coupled with advances in communications/networking and the advent of big data, now enables new distributed computing paradigms such as Cloud, Jungle and Fog computing.Cloud computing brings a number of advantages to consumers in terms of accessibility and elasticity. It is based on centralization of resources that possess huge processing po...

  12. Enhancement of Fault Tolerance in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Pushpanjali Gupta

    2014-08-01

    Full Text Available In recent years researchers are trying to work out scientific applications in cloud so that it decreases the infrastructure cost and increases the span of team and finally innovative ideas towards applications is increased. But the cloud is still not as much reliable, controllable as grid. So in the evolving Cloud computing environment there is a great need of fault tolerance mechanism for the system to work effectively even in the presence of failure. Moreover Big Organizations are also opting for using Hybrid Cloud instead of private Cloud. Thus, in this paper we propose an approach of using a new framework in Cloud so as to use Cloud for scientific applications as well makes the public Cloud trustworthy platform. There is a progressive approach introduced to provide an effective way to achieve high fault tolerance in Clouds by enabling a new workflow planning method to balance performance, reliability and cost for critical scientific applications and focus mainly on use of distributed resources for workflow execution mainly in serial and concurrent manner.

  13. Mobile Cloud Computing for Telemedicine Solutions

    Directory of Open Access Journals (Sweden)

    Mihaela GHEORGHE

    2014-01-01

    Full Text Available Mobile Cloud Computing is a significant technology which combines emerging domains such as mobile computing and cloud computing which has conducted to the development of one of the most IT industry challenging and innovative trend. This is still at the early stage of devel-opment but its main characteristics, advantages and range of services which are provided by an internet-based cluster system have a strong impact on the process of developing telemedi-cine solutions for overcoming the wide challenges the medical system is confronting with. Mo-bile Cloud integrates cloud computing into the mobile environment and has the advantage of overcoming obstacles related to performance (e.g. battery life, storage, and bandwidth, envi-ronment (e.g. heterogeneity, scalability, availability and security (e.g. reliability and privacy which are commonly present at mobile computing level. In this paper, I will present a compre-hensive overview on mobile cloud computing including definitions, services and the use of this technology for developing telemedicine application.

  14. Utilizing HDF4 File Content Maps for the Cloud

    Science.gov (United States)

    Lee, Hyokyung Joe

    2016-01-01

    We demonstrate a prototype study that HDF4 file content map can be used for efficiently organizing data in cloud object storage system to facilitate cloud computing. This approach can be extended to any binary data formats and to any existing big data analytics solution powered by cloud computing because HDF4 file content map project started as long term preservation of NASA data that doesn't require HDF4 APIs to access data.

  15. Usability of Cloud Computing to Improve Higher Education

    Directory of Open Access Journals (Sweden)

    Bayan Hashr Alamri

    2015-08-01

    Full Text Available Cloud computing as a new paradigm has grown from a promising idea to one of the fastest research and development paradigm in education sector. It is a hot research area that applies in all sectors where we require high performance and fast access to resources and services. Cloud computing usability in education is wide-ranging, as acknowledged by many educational institutions around the world. This paper attempts to address the need for utilizing cloud computing in higher education in Kingdom of Saudi Arabia for all the disciplines to raise its level and solve the obstacles that faced the learning process. In addition, cloud computing facilitates educators and students to be more experienced in cloud computing and it prepares them to get benefits of usefulness to become more motivated and effective. Survey is used as a research design to validate the proposed solution. The results show that the proposal to improve higher education is highly supported by the professionals working in the industry and academia.

  16. Searching for SNPs with cloud computing

    Science.gov (United States)

    2009-01-01

    As DNA sequencing outpaces improvements in computer speed, there is a critical need to accelerate tasks like alignment and SNP calling. Crossbow is a cloud-computing software tool that combines the aligner Bowtie and the SNP caller SOAPsnp. Executing in parallel using Hadoop, Crossbow analyzes data comprising 38-fold coverage of the human genome in three hours using a 320-CPU cluster rented from a cloud computing service for about $85. Crossbow is available from http://bowtie-bio.sourceforge.net/crossbow/. PMID:19930550

  17. Application of Selective Algorithm for Effective Resource Provisioning in Cloud Computing Environment

    OpenAIRE

    Katyal, Mayanka; Mishra, Atul

    2014-01-01

    Modern day continued demand for resource hungry services and applications in IT sector has led to development of Cloud computing. Cloud computing environment involves high cost infrastructure on one hand and need high scale computational resources on the other hand. These resources need to be provisioned (allocation and scheduling) to the end users in most efficient manner so that the tremendous capabilities of cloud are utilized effectively and efficiently. In this paper we discuss a selecti...

  18. A Matchmaking Strategy Of Mixed Resource On Cloud Computing Environment

    Directory of Open Access Journals (Sweden)

    Wisam Elshareef

    2015-08-01

    Full Text Available Abstract Today cloud computing has become a key technology for online allotment of computing resources and online storage of user data in a lower cost where computing resources are available all the time over the Internet with pay per use concept. Recently there is a growing need for resource management strategies in a cloud computing environment that encompass both end-users satisfaction and a high job submission throughput with appropriate scheduling. One of the major and essential issues in resource management is related to allocate incoming tasks to suitable virtual machine matchmaking. The main objective of this paper is to propose a matchmaking strategy between the incoming requests and various resources in the cloud environment to satisfy the requirements of users and to load balance the workload on resources. Load Balancing is an important aspect of resource management in a cloud computing environment. So this paper proposes a dynamic weight active monitor DWAM load balance algorithm which allocates on the fly the incoming requests to the all available virtual machines in an efficient manner in order to achieve better performance parameters such as response time processing time and resource utilization. The feasibility of the proposed algorithm is analyzed using Cloudsim simulator which proves the superiority of the proposed DWAM algorithm over its counterparts in literature. Simulation results demonstrate that proposed algorithm dramatically improves response time data processing time and more utilized of resource compared Active monitor and VM-assign algorithms.

  19. PERFORMANCE IMPROVEMENT IN CLOUD COMPUTING USING RESOURCE CLUSTERING

    Directory of Open Access Journals (Sweden)

    G. Malathy

    2013-01-01

    Full Text Available Cloud computing is a computing paradigm in which the various tasks are assigned to a combination of connections, software and services that can be accessed over the network. The computing resources and services can be efficiently delivered and utilized, making the vision of computing utility realizable. In various applications, execution of services with more number of tasks has to perform with minimum intertask communication. The applications are more likely to exhibit different patterns and levels and the distributed resources organize into various topologies for information and query dissemination. In a distributed system the resource discovery is a significant process for finding appropriate nodes. The earlier resource discovery mechanism in cloud system relies on the recent observations. In this study, resource usage distribution for a group of nodes with identical resource usages patterns are identified and kept as a cluster and is named as resource clustering approach. The resource clustering approach is modeled using CloudSim, a toolkit for modeling and simulating cloud computing environments and the evaluation improves the performance of the system in the usage of the resources. Results show that resource clusters are able to provide high accuracy for resource discovery.

  20. Secure Dynamic access control scheme of PHR in cloud computing.

    Science.gov (United States)

    Chen, Tzer-Shyong; Liu, Chia-Hui; Chen, Tzer-Long; Chen, Chin-Sheng; Bau, Jian-Guo; Lin, Tzu-Ching

    2012-12-01

    With the development of information technology and medical technology, medical information has been developed from traditional paper records into electronic medical records, which have now been widely applied. The new-style medical information exchange system "personal health records (PHR)" is gradually developed. PHR is a kind of health records maintained and recorded by individuals. An ideal personal health record could integrate personal medical information from different sources and provide complete and correct personal health and medical summary through the Internet or portable media under the requirements of security and privacy. A lot of personal health records are being utilized. The patient-centered PHR information exchange system allows the public autonomously maintain and manage personal health records. Such management is convenient for storing, accessing, and sharing personal medical records. With the emergence of Cloud computing, PHR service has been transferred to storing data into Cloud servers that the resources could be flexibly utilized and the operation cost can be reduced. Nevertheless, patients would face privacy problem when storing PHR data into Cloud. Besides, it requires a secure protection scheme to encrypt the medical records of each patient for storing PHR into Cloud server. In the encryption process, it would be a challenge to achieve accurately accessing to medical records and corresponding to flexibility and efficiency. A new PHR access control scheme under Cloud computing environments is proposed in this study. With Lagrange interpolation polynomial to establish a secure and effective PHR information access scheme, it allows to accurately access to PHR with security and is suitable for enormous multi-users. Moreover, this scheme also dynamically supports multi-users in Cloud computing environments with personal privacy and offers legal authorities to access to PHR. From security and effectiveness analyses, the proposed PHR access

  1. Formal Protection Architecture for Cloud Computing System

    Institute of Scientific and Technical Information of China (English)

    Yasha Chen; Jianpeng Zhao; Junmao Zhu; Fei Yan

    2014-01-01

    Cloud computing systems play a vital role in national securi-ty. This paper describes a conceptual framework called dual-system architecture for protecting computing environments. While attempting to be logical and rigorous, formalism meth-od is avoided and this paper chooses algebra Communication Sequential Process.

  2. Task-Scheduling in Cloud Computing using Credit Based Assignment Problem

    Directory of Open Access Journals (Sweden)

    Mousumi Paul

    2011-10-01

    Full Text Available This Cloud computing is a latest new computing paradigm where applications, data and IT services are provided across dynamic and geographically dispersed organization. Job scheduling systemproblem is a nucleus and demanding issue in Cloud Computing. How to utilize Cloud computing resources proficiently and gain the maximum profits with job scheduling system is one of the Cloud computing service providers’ ultimate objectives. In this paper we have used credit based scheduling decision to evaluate the entire group of task in the task queue and find the minimal completion time of alltask. Here cost matrix has been generated as the fair tendency of a task to be assigned in a resource.

  3. Cloud computing for data-intensive applications

    CERN Document Server

    Li, Xiaolin

    2014-01-01

    This book presents a range of cloud computing platforms for data-intensive scientific applications. It covers systems that deliver infrastructure as a service, including: HPC as a service; virtual networks as a service; scalable and reliable storage; algorithms that manage vast cloud resources and applications runtime; and programming models that enable pragmatic programming and implementation toolkits for eScience applications. Many scientific applications in clouds are also introduced, such as bioinformatics, biology, weather forecasting and social networks. Most chapters include case studie

  4. Performance Measurement of Cloud Computing Services

    CERN Document Server

    Suakanto, Sinung; Suhardi,; Saragih, Roberd

    2012-01-01

    Cloud computing today has now been growing as new technologies and new business models. In distributed technology perspective, cloud computing most like client-server services like web-based or web-service but it used virtual resources to execute. Currently, cloud computing relies on the use of an elastic virtual machine and the use of network for data exchange. We conduct an experimental setup to measure the quality of service received by cloud computing customers. Experimental setup done by creating a HTTP service that runs in the cloud computing infrastructure. We interest to know about the impact of increasing the number of users on the average quality received by users. The qualities received by user measured within two parameters consist of average response times and the number of requests time out. Experimental results of this study show that increasing the number of users has increased the average response time. Similarly, the number of request time out increasing with increasing number of users. It m...

  5. G-Cloud Monitor: A Cloud Monitoring System for Factory Automation for Sustainable Green Computing

    Directory of Open Access Journals (Sweden)

    Hwa-Young Jeong

    2014-11-01

    Full Text Available Green and cloud computing (G-cloud are new trends in all areas of computing. The G-cloud provides an efficient function, which enables users to access their programs, systems and platforms at anytime and anyplace. Green computing can also yield greener technology by reducing power consumption for sustainable environments. Furthermore, in order to apply user needs to the system development, the user characteristics are regarded as some of the most important factors to be considered in product industries. In this paper, we propose a cloud monitoring system to observe and manage the manufacturing system/factory automation for sustainable green computing. For monitoring systems, we utilized the resources in the G-cloud environments, and hence, it can reduce the amount of system resources and devices, such as system power and processes. In addition, we propose adding a user profile to the monitoring system in order to provide a user-friendly function. That is, this function allows system configurations to be automatically matched to the individual’s requirements, thus increasing efficiency.

  6. On Elasticity Measurement in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Wei Ai

    2016-01-01

    Full Text Available Elasticity is the foundation of cloud performance and can be considered as a great advantage and a key benefit of cloud computing. However, there is no clear, concise, and formal definition of elasticity measurement, and thus no effective approach to elasticity quantification has been developed so far. Existing work on elasticity lack of solid and technical way of defining elasticity measurement and definitions of elasticity metrics have not been accurate enough to capture the essence of elasticity measurement. In this paper, we present a new definition of elasticity measurement and propose a quantifying and measuring method using a continuous-time Markov chain (CTMC model, which is easy to use for precise calculation of elasticity value of a cloud computing platform. Our numerical results demonstrate the basic parameters affecting elasticity as measured by the proposed measurement approach. Furthermore, our simulation and experimental results validate that the proposed measurement approach is not only correct but also robust and is effective in computing and comparing the elasticity of cloud platforms. Our research in this paper makes significant contribution to quantitative measurement of elasticity in cloud computing.

  7. Research on Cloud Computing Resources Provisioning Based on Reinforcement Learning

    Directory of Open Access Journals (Sweden)

    Zhiping Peng

    2015-01-01

    Full Text Available As one of the core issues for cloud computing, resource management adopts virtualization technology to shield the underlying resource heterogeneity and complexity which makes the massive distributed resources form a unified giant resource pool. It can achieve efficient resource provisioning by using the rational implementing resource management methods and techniques. Therefore, how to manage cloud computing resources effectively becomes a challenging research topic. By analyzing the executing progress of a user job in the cloud computing environment, we proposed a novel resource provisioning scheme based on the reinforcement learning and queuing theory in this study. With the introduction of the concepts of Segmentation Service Level Agreement (SSLA and Utilization Unit Time Cost (UUTC, we viewed the resource provisioning problem in cloud computing as a sequential decision issue, and then we designed a novel optimization object function and employed reinforcement learning to solve it. Experiment results not only demonstrated the effectiveness of the proposed scheme, but also proved to outperform the common methods of resource utilization rate in terms of SLA collision avoidance and user costs.

  8. Framework for Computation Offloading in Mobile Cloud Computing

    Directory of Open Access Journals (Sweden)

    Dejan Kovachev

    2012-12-01

    Full Text Available The inherently limited processing power and battery lifetime of mobile phones hinder the possible execution of computationally intensive applications like content-based video analysis or 3D modeling. Offloading of computationally intensive application parts from the mobile platform into a remote cloud infrastructure or nearby idle computers addresses this problem. This paper presents our Mobile Augmentation Cloud Services (MACS middleware which enables adaptive extension of Android application execution from a mobile client into the cloud. Applications are developed by using the standard Android development pattern. The middleware does the heavy lifting of adaptive application partitioning, resource monitoring and computation offloading. These elastic mobile applications can run as usual mobile application, but they can also use remote computing resources transparently. Two prototype applications using the MACS middleware demonstrate the benefits of the approach. The evaluation shows that applications, which involve costly computations, can benefit from offloading with around 95% energy savings and significant performance gains compared to local execution only.

  9. Blueprinting Approach in Support of Cloud Computing

    Directory of Open Access Journals (Sweden)

    Willem-Jan van den Heuvel

    2012-03-01

    Full Text Available Current cloud service offerings, i.e., Software-as-a-service (SaaS, Platform-as-a-service (PaaS and Infrastructure-as-a-service (IaaS offerings are often provided as monolithic, one-size-fits-all solutions and give little or no room for customization. This limits the ability of Service-based Application (SBA developers to configure and syndicate offerings from multiple SaaS, PaaS, and IaaS providers to address their application requirements. Furthermore, combining different independent cloud services necessitates a uniform description format that facilitates the design, customization, and composition. Cloud Blueprinting is a novel approach that allows SBA developers to easily design, configure and deploy virtual SBA payloads on virtual machines and resource pools on the cloud. We propose the Blueprint concept as a uniform abstract description for cloud service offerings that may cross different cloud computing layers, i.e., SaaS, PaaS and IaaS. To support developers with the SBA design and development in the cloud, this paper introduces a formal Blueprint Template for unambiguously describing a blueprint, as well as a Blueprint Lifecycle that guides developers through the manipulation, composition and deployment of different blueprints for an SBA. Finally, the empirical evaluation of the blueprinting approach within an EC’s FP7 project is reported and an associated blueprint prototype implementation is presented.

  10. On technical security issues in cloud computing

    DEFF Research Database (Denmark)

    Jensen, Meiko; Schwenk, Jörg; Gruschka, Nils

    2009-01-01

    The Cloud Computing concept offers dynamically scalable resources provisioned as a service over the Internet. Economic benefits are the main driver for the Cloud, since it promises the reduction of capital expenditure (CapEx) and operational expenditure (OpEx). In order for this to become reality......, however, there are still some challenges to be solved. Amongst these are security and trust issues, since the user's data has to be released to the Cloud and thus leaves the protection sphere of the data owner. Most of the discussions on this topics are mainly driven by arguments related to organisational...... means. This paper focusses on technical security issues arising from the usage of Cloud services and especially by the underlying technologies used to build these cross-domain Internet-connected collaborations. © 2009 IEEE....

  11. On technical security issues in cloud computing

    DEFF Research Database (Denmark)

    Jensen, Meiko; Schwenk, Jörg; Gruschka, Nils

    2009-01-01

    The Cloud Computing concept offers dynamically scalable resources provisioned as a service over the Internet. Economic benefits are the main driver for the Cloud, since it promises the reduction of capital expenditure (CapEx) and operational expenditure (OpEx). In order for this to become reality......, however, there are still some challenges to be solved. Amongst these are security and trust issues, since the user's data has to be released to the Cloud and thus leaves the protection sphere of the data owner. Most of the discussions on this topics are mainly driven by arguments related to organisational...... means. This paper focusses on technical security issues arising from the usage of Cloud services and especially by the underlying technologies used to build these cross-domain Internet-connected collaborations....

  12. Pricing Schemes in Cloud Computing: An Overview

    Directory of Open Access Journals (Sweden)

    Artan Mazrekaj

    2016-02-01

    Full Text Available Cloud Computing is one of the technologies with rapid development in recent years where there is increasing interest in industry and academia. This technology enables many services and resources for end users. With the rise of cloud services number of companies that offer various services in cloud infrastructure is increased, thus creating a competition on prices in the global market. Cloud Computing providers offer more services to their clients ranging from infrastructure as a service (IaaS, platform as a service (PaaS, software as a service (SaaS, storage as a service (STaaS, security as a service (SECaaS, test environment as a service (TEaaS. The purpose of providers is to maximize revenue by their price schemes, while the main goal of customers is to have quality of services (QoS for a reasonable price. The purpose of this paper is to compare and discuss several models and pricing schemes from different Cloud Computing providers.

  13. Spontaneous ad hoc mobile cloud computing network.

    Science.gov (United States)

    Lacuesta, Raquel; Lloret, Jaime; Sendra, Sandra; Peñalver, Lourdes

    2014-01-01

    Cloud computing helps users and companies to share computing resources instead of having local servers or personal devices to handle the applications. Smart devices are becoming one of the main information processing devices. Their computing features are reaching levels that let them create a mobile cloud computing network. But sometimes they are not able to create it and collaborate actively in the cloud because it is difficult for them to build easily a spontaneous network and configure its parameters. For this reason, in this paper, we are going to present the design and deployment of a spontaneous ad hoc mobile cloud computing network. In order to perform it, we have developed a trusted algorithm that is able to manage the activity of the nodes when they join and leave the network. The paper shows the network procedures and classes that have been designed. Our simulation results using Castalia show that our proposal presents a good efficiency and network performance even by using high number of nodes.

  14. Turning Video Resource Management into Cloud Computing

    Directory of Open Access Journals (Sweden)

    Weili Kou

    2016-07-01

    Full Text Available Big data makes cloud computing more and more popular in various fields. Video resources are very useful and important to education, security monitoring, and so on. However, issues of their huge volumes, complex data types, inefficient processing performance, weak security, and long times for loading pose challenges in video resource management. The Hadoop Distributed File System (HDFS is an open-source framework, which can provide cloud-based platforms and presents an opportunity for solving these problems. This paper presents video resource management architecture based on HDFS to provide a uniform framework and a five-layer model for standardizing the current various algorithms and applications. The architecture, basic model, and key algorithms are designed for turning video resources into a cloud computing environment. The design was tested by establishing a simulation system prototype.

  15. Biomedical cloud computing with Amazon Web Services.

    Science.gov (United States)

    Fusaro, Vincent A; Patil, Prasad; Gafni, Erik; Wall, Dennis P; Tonellato, Peter J

    2011-08-01

    In this overview to biomedical computing in the cloud, we discussed two primary ways to use the cloud (a single instance or cluster), provided a detailed example using NGS mapping, and highlighted the associated costs. While many users new to the cloud may assume that entry is as straightforward as uploading an application and selecting an instance type and storage options, we illustrated that there is substantial up-front effort required before an application can make full use of the cloud's vast resources. Our intention was to provide a set of best practices and to illustrate how those apply to a typical application pipeline for biomedical informatics, but also general enough for extrapolation to other types of computational problems. Our mapping example was intended to illustrate how to develop a scalable project and not to compare and contrast alignment algorithms for read mapping and genome assembly. Indeed, with a newer aligner such as Bowtie, it is possible to map the entire African genome using one m2.2xlarge instance in 48 hours for a total cost of approximately $48 in computation time. In our example, we were not concerned with data transfer rates, which are heavily influenced by the amount of available bandwidth, connection latency, and network availability. When transferring large amounts of data to the cloud, bandwidth limitations can be a major bottleneck, and in some cases it is more efficient to simply mail a storage device containing the data to AWS (http://aws.amazon.com/importexport/). More information about cloud computing, detailed cost analysis, and security can be found in references.

  16. Biomedical cloud computing with Amazon Web Services.

    Directory of Open Access Journals (Sweden)

    Vincent A Fusaro

    2011-08-01

    Full Text Available In this overview to biomedical computing in the cloud, we discussed two primary ways to use the cloud (a single instance or cluster, provided a detailed example using NGS mapping, and highlighted the associated costs. While many users new to the cloud may assume that entry is as straightforward as uploading an application and selecting an instance type and storage options, we illustrated that there is substantial up-front effort required before an application can make full use of the cloud's vast resources. Our intention was to provide a set of best practices and to illustrate how those apply to a typical application pipeline for biomedical informatics, but also general enough for extrapolation to other types of computational problems. Our mapping example was intended to illustrate how to develop a scalable project and not to compare and contrast alignment algorithms for read mapping and genome assembly. Indeed, with a newer aligner such as Bowtie, it is possible to map the entire African genome using one m2.2xlarge instance in 48 hours for a total cost of approximately $48 in computation time. In our example, we were not concerned with data transfer rates, which are heavily influenced by the amount of available bandwidth, connection latency, and network availability. When transferring large amounts of data to the cloud, bandwidth limitations can be a major bottleneck, and in some cases it is more efficient to simply mail a storage device containing the data to AWS (http://aws.amazon.com/importexport/. More information about cloud computing, detailed cost analysis, and security can be found in references.

  17. Can cloud computing benefit health services? - a SWOT analysis.

    Science.gov (United States)

    Kuo, Mu-Hsing; Kushniruk, Andre; Borycki, Elizabeth

    2011-01-01

    In this paper, we discuss cloud computing, the current state of cloud computing in healthcare, and the challenges and opportunities of adopting cloud computing in healthcare. A Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis was used to evaluate the feasibility of adopting this computing model in healthcare. The paper concludes that cloud computing could have huge benefits for healthcare but there are a number of issues that will need to be addressed before its widespread use in healthcare.

  18. A lightweight distributed framework for computational offloading in mobile cloud computing.

    Directory of Open Access Journals (Sweden)

    Muhammad Shiraz

    Full Text Available The latest developments in mobile computing technology have enabled intensive applications on the modern Smartphones. However, such applications are still constrained by limitations in processing potentials, storage capacity and battery lifetime of the Smart Mobile Devices (SMDs. Therefore, Mobile Cloud Computing (MCC leverages the application processing services of computational clouds for mitigating resources limitations in SMDs. Currently, a number of computational offloading frameworks are proposed for MCC wherein the intensive components of the application are outsourced to computational clouds. Nevertheless, such frameworks focus on runtime partitioning of the application for computational offloading, which is time consuming and resources intensive. The resource constraint nature of SMDs require lightweight procedures for leveraging computational clouds. Therefore, this paper presents a lightweight framework which focuses on minimizing additional resources utilization in computational offloading for MCC. The framework employs features of centralized monitoring, high availability and on demand access services of computational clouds for computational offloading. As a result, the turnaround time and execution cost of the application are reduced. The framework is evaluated by testing prototype application in the real MCC environment. The lightweight nature of the proposed framework is validated by employing computational offloading for the proposed framework and the latest existing frameworks. Analysis shows that by employing the proposed framework for computational offloading, the size of data transmission is reduced by 91%, energy consumption cost is minimized by 81% and turnaround time of the application is decreased by 83.5% as compared to the existing offloading frameworks. Hence, the proposed framework minimizes additional resources utilization and therefore offers lightweight solution for computational offloading in MCC.

  19. A lightweight distributed framework for computational offloading in mobile cloud computing.

    Science.gov (United States)

    Shiraz, Muhammad; Gani, Abdullah; Ahmad, Raja Wasim; Adeel Ali Shah, Syed; Karim, Ahmad; Rahman, Zulkanain Abdul

    2014-01-01

    The latest developments in mobile computing technology have enabled intensive applications on the modern Smartphones. However, such applications are still constrained by limitations in processing potentials, storage capacity and battery lifetime of the Smart Mobile Devices (SMDs). Therefore, Mobile Cloud Computing (MCC) leverages the application processing services of computational clouds for mitigating resources limitations in SMDs. Currently, a number of computational offloading frameworks are proposed for MCC wherein the intensive components of the application are outsourced to computational clouds. Nevertheless, such frameworks focus on runtime partitioning of the application for computational offloading, which is time consuming and resources intensive. The resource constraint nature of SMDs require lightweight procedures for leveraging computational clouds. Therefore, this paper presents a lightweight framework which focuses on minimizing additional resources utilization in computational offloading for MCC. The framework employs features of centralized monitoring, high availability and on demand access services of computational clouds for computational offloading. As a result, the turnaround time and execution cost of the application are reduced. The framework is evaluated by testing prototype application in the real MCC environment. The lightweight nature of the proposed framework is validated by employing computational offloading for the proposed framework and the latest existing frameworks. Analysis shows that by employing the proposed framework for computational offloading, the size of data transmission is reduced by 91%, energy consumption cost is minimized by 81% and turnaround time of the application is decreased by 83.5% as compared to the existing offloading frameworks. Hence, the proposed framework minimizes additional resources utilization and therefore offers lightweight solution for computational offloading in MCC.

  20. A Lightweight Distributed Framework for Computational Offloading in Mobile Cloud Computing

    Science.gov (United States)

    Shiraz, Muhammad; Gani, Abdullah; Ahmad, Raja Wasim; Adeel Ali Shah, Syed; Karim, Ahmad; Rahman, Zulkanain Abdul

    2014-01-01

    The latest developments in mobile computing technology have enabled intensive applications on the modern Smartphones. However, such applications are still constrained by limitations in processing potentials, storage capacity and battery lifetime of the Smart Mobile Devices (SMDs). Therefore, Mobile Cloud Computing (MCC) leverages the application processing services of computational clouds for mitigating resources limitations in SMDs. Currently, a number of computational offloading frameworks are proposed for MCC wherein the intensive components of the application are outsourced to computational clouds. Nevertheless, such frameworks focus on runtime partitioning of the application for computational offloading, which is time consuming and resources intensive. The resource constraint nature of SMDs require lightweight procedures for leveraging computational clouds. Therefore, this paper presents a lightweight framework which focuses on minimizing additional resources utilization in computational offloading for MCC. The framework employs features of centralized monitoring, high availability and on demand access services of computational clouds for computational offloading. As a result, the turnaround time and execution cost of the application are reduced. The framework is evaluated by testing prototype application in the real MCC environment. The lightweight nature of the proposed framework is validated by employing computational offloading for the proposed framework and the latest existing frameworks. Analysis shows that by employing the proposed framework for computational offloading, the size of data transmission is reduced by 91%, energy consumption cost is minimized by 81% and turnaround time of the application is decreased by 83.5% as compared to the existing offloading frameworks. Hence, the proposed framework minimizes additional resources utilization and therefore offers lightweight solution for computational offloading in MCC. PMID:25127245

  1. A Comparative Study of Load Balancing Algorithms in Cloud Computing Environment

    OpenAIRE

    Katyal, Mayanka; Mishra, Atul

    2014-01-01

    Cloud Computing is a new trend emerging in IT environment with huge requirements of infrastructure and resources. Load Balancing is an important aspect of cloud computing environment. Efficient load balancing scheme ensures efficient resource utilization by provisioning of resources to cloud users on demand basis in pay as you say manner. Load Balancing may even support prioritizing users by applying appropriate scheduling criteria. This paper presents various load balancing schemes in differ...

  2. Accomplish the Application Area in Cloud Computing

    CERN Document Server

    Bansal, Nidhi

    2012-01-01

    In the cloud computing application area of accomplish, we find the fact that cloud computing covers a lot of areas are its main asset. At a top level, it is an approach to IT where many users, some even from different companies get access to shared IT resources such as servers, routers and various file extensions, instead of each having their own dedicated servers. This offers many advantages like lower costs and higher efficiency. Unfortunately there have been some high profile incidents where some of the largest cloud providers have had outages and even lost data, and this underscores that it is important to have backup, security and disaster recovery capabilities. In education field, it gives better choice and flexibility to IT departments than others. The platform and applications you use can be on-premises, off-premises, or a combination of both, depending on your academic organization's needs. With cloud computing in education, you get powerful software and massive computing resources where and when you...

  3. Cloud computing security requirements: a systematic review

    NARCIS (Netherlands)

    Iankoulova, Iliana; Daneva, Maya; Rolland, C.; Castro, J.; Pastor, O.

    2012-01-01

    Many publications have dealt with various types of security requirements in cloud computing but not all types have been explored in sufficient depth. It is also hard to understand which types of requirements have been under-researched and which are most investigated. This paper's goal is to provide

  4. Secure cloud computing: benefits, risks and controls

    CSIR Research Space (South Africa)

    Carroll, M

    2011-08-01

    Full Text Available Services - New Market Report Published. Available: http://www.companiesandmarkets.com/r.ashx?id=41AETZYHJ28917 3&prk=ecb8413c602cb89051067456b636c7b9 [4] I. Berger. (2010, 6 May 2010). Keeping Cloud Computing's Prospects Safe and Sunny. Available...

  5. Cloud Computing Based E-Learning System

    Science.gov (United States)

    Al-Zoube, Mohammed; El-Seoud, Samir Abou; Wyne, Mudasser F.

    2010-01-01

    Cloud computing technologies although in their early stages, have managed to change the way applications are going to be developed and accessed. These technologies are aimed at running applications as services over the internet on a flexible infrastructure. Microsoft office applications, such as word processing, excel spreadsheet, access database…

  6. Cloud computing: pushing the right managerial buttons

    NARCIS (Netherlands)

    S. Khanagha (Saeed)

    2015-01-01

    textabstractDespite the obvious organisational advantages offered by cloud computing, not all firms have adopted and adapted to the rapid changes that this new form of remote data storage represents. Recent research and practice have focused on the issue from the perspective of firms as a whole,

  7. Web Solutions Inspire Cloud Computing Software

    Science.gov (United States)

    2013-01-01

    An effort at Ames Research Center to standardize NASA websites unexpectedly led to a breakthrough in open source cloud computing technology. With the help of Rackspace Inc. of San Antonio, Texas, the resulting product, OpenStack, has spurred the growth of an entire industry that is already employing hundreds of people and generating hundreds of millions in revenue.

  8. Cloud Computing Based E-Learning System

    Science.gov (United States)

    Al-Zoube, Mohammed; El-Seoud, Samir Abou; Wyne, Mudasser F.

    2010-01-01

    Cloud computing technologies although in their early stages, have managed to change the way applications are going to be developed and accessed. These technologies are aimed at running applications as services over the internet on a flexible infrastructure. Microsoft office applications, such as word processing, excel spreadsheet, access database…

  9. Cloud computing and ROI a new framework for it strategy

    CERN Document Server

    Mohapatra, Sanjay

    2014-01-01

    This book develops an IT strategy for cloud computing that helps businesses evaluate their readiness for cloud services and calculate the ROI. The framework provided helps reduce risks involved in transitioning from traditional "on site" IT strategy to virtual "cloud computing." Since the advent of cloud computing, many organizations have made substantial gains implementing this innovation. Cloud computing allows companies to focus more on their core competencies, as IT enablement is taken care of through cloud services. Cloud Computing and ROI includes case studies covering retail, automobile and food processing industries. Each of these case studies have successfully implemented the cloud computing framework and their strategies are explained. As cloud computing may not be ideal for all businesses, criteria?are also offered to help determine if this strategy should be adopt.

  10. Utility launches computer information service

    Energy Technology Data Exchange (ETDEWEB)

    Beaty, W. [ed.; Ordonez, B.

    1994-12-01

    Three employees at Lee County Electric Cooperative in North Fort Meyers, Fla., have developed InterLine, an on-line computer service designed specifically for the electric utility industry. Since introducing InterLine to the public, the development team has been looking at what areas of information would be most useful to subscribers. In the initial phase, system features include forums on electrical engineering, safety and health and transmission and distribution, a library of files and the Internet gateway. If InterLIne is embraced by the electric utility industry, long range plans are to take it internationls.

  11. Risk in the Clouds?: Security Issues Facing Government Use of Cloud Computing

    Science.gov (United States)

    Wyld, David C.

    Cloud computing is poised to become one of the most important and fundamental shifts in how computing is consumed and used. Forecasts show that government will play a lead role in adopting cloud computing - for data storage, applications, and processing power, as IT executives seek to maximize their returns on limited procurement budgets in these challenging economic times. After an overview of the cloud computing concept, this article explores the security issues facing public sector use of cloud computing and looks to the risk and benefits of shifting to cloud-based models. It concludes with an analysis of the challenges that lie ahead for government use of cloud resources.

  12. Zen of cloud learning cloud computing by examples on Microsoft Azure

    CERN Document Server

    Bai, Haishi

    2014-01-01

    Zen of Cloud: Learning Cloud Computing by Examples on Microsoft Azure provides comprehensive coverage of the essential theories behind cloud computing and the Windows Azure cloud platform. Sharing the author's insights gained while working at Microsoft's headquarters, it presents nearly 70 end-to-end examples with step-by-step guidance on implementing typical cloud-based scenarios.The book is organized into four sections: cloud service fundamentals, cloud solutions, devices and cloud, and system integration and project management. Each chapter contains detailed exercises that provide readers w

  13. E-Learning Based on Cloud Computing: Requirements, Challenges and Solutions

    Directory of Open Access Journals (Sweden)

    Alireza Mohammadrezaei

    2014-07-01

    Full Text Available Cloud Computing Technology has changed the access method and development of applications. This technology by providing necessary fundamentals runs applications as services on the net via web browsers. E-learning can utilize cloud computing in order to fulfill the required infrastructures and also to provide the improved performance, scalability, and increased availability. This study in addition to representation of concepts such as e-learning and cloud computing by utilizing descriptive-analytical approach investigates usage of cloud computing in e-learning. Also by introducing the advantages indicates the significance and the necessity of using e-learning based upon cloud computing. Ultimately, the challenges of this model and their solutions have been represented as well

  14. ATLAS Computing on the Swiss Cloud SWITCHengines

    CERN Document Server

    Haug, Sigve; The ATLAS collaboration

    2016-01-01

    Consolidation towards more computing at flat budgets beyond what pure chip technology can offer, is a requirement for the full scientific exploitation of the future data from the Large Hadron Collider. One consolidation measure is to exploit cloud infrastructures whenever they are financially competitive. We report on the technical solutions and the performance used and achieved running ATLAS production on SWITCHengines. SWITCHengines is the new cloud infrastructure offered to Swiss academia by the National Research and Education Network SWITCH. While solutions and performances are general, financial considerations and policies, which we also report on, are country specific.

  15. Security Issues in Cloud Computing - A Review

    Directory of Open Access Journals (Sweden)

    Irfan Hussain

    2014-09-01

    Full Text Available Cloud Computing is the most emerging trend in Information Technology now days. It is attracting the organizations due to its advantages of scalability, throughput, easy and cheap access and on demand up and down grading of SaaS, PaaS and IaaS. Besides all the salient features of cloud environment, there are the big challenges of privacy and security. In this paper, a review of different security issues like trust, confidentiality, authenticity, encryption, key management and resource sharing are presented along with the efforts made on how to overcome these issues.

  16. Cloud computing patterns fundamentals to design, build, and manage cloud applications

    CERN Document Server

    Fehling, Christoph; Retter, Ralph; Schupeck, Walter; Arbitter, Peter

    2014-01-01

    The current work provides CIOs, software architects, project managers, developers, and cloud strategy initiatives with a set of architectural patterns that offer nuggets of advice on how to achieve common cloud computing-related goals. The cloud computing patterns capture knowledge and experience in an abstract format that is independent of concrete vendor products. Readers are provided with a toolbox to structure cloud computing strategies and design cloud application architectures. By using this book cloud-native applications can be implemented and best suited cloud vendors and tooling for i

  17. Cloud Computing for Mission Design and Operations

    Science.gov (United States)

    Arrieta, Juan; Attiyah, Amy; Beswick, Robert; Gerasimantos, Dimitrios

    2012-01-01

    The space mission design and operations community already recognizes the value of cloud computing and virtualization. However, natural and valid concerns, like security, privacy, up-time, and vendor lock-in, have prevented a more widespread and expedited adoption into official workflows. In the interest of alleviating these concerns, we propose a series of guidelines for internally deploying a resource-oriented hub of data and algorithms. These guidelines provide a roadmap for implementing an architecture inspired in the cloud computing model: associative, elastic, semantical, interconnected, and adaptive. The architecture can be summarized as exposing data and algorithms as resource-oriented Web services, coordinated via messaging, and running on virtual machines; it is simple, and based on widely adopted standards, protocols, and tools. The architecture may help reduce common sources of complexity intrinsic to data-driven, collaborative interactions and, most importantly, it may provide the means for teams and agencies to evaluate the cloud computing model in their specific context, with minimal infrastructure changes, and before committing to a specific cloud services provider.

  18. A Survey on Interoperability in the Cloud Computing Environments

    Directory of Open Access Journals (Sweden)

    Bahman Rashidi

    2013-07-01

    Full Text Available In the recent years, Cloud Computing has been one of the top ten new technologies which provides various services such as software, platform and infrastructure for internet users. The Cloud Computing is a promising IT paradigm which enables the Internet evolution into a global market of collaborating services. In order to provide better services for cloud customers, cloud providers need services that are in cooperation with other services. Therefore, Cloud Computing semantic interoperability plays a key role in Cloud Computing services. In this paper, we address interoperability issues in Cloud Computing environments. After a description of Cloud Computing interoperability from different aspects and references, we describe two architectures of cloud service interoperability. Architecturally, we classify existing interoperability challenges and we describe them. Moreover, we use these aspects to discuss and compare several interoperability approaches.

  19. Classification of Big Point Cloud Data Using Cloud Computing

    Science.gov (United States)

    Liu, K.; Boehm, J.

    2015-08-01

    Point cloud data plays an significant role in various geospatial applications as it conveys plentiful information which can be used for different types of analysis. Semantic analysis, which is an important one of them, aims to label points as different categories. In machine learning, the problem is called classification. In addition, processing point data is becoming more and more challenging due to the growing data volume. In this paper, we address point data classification in a big data context. The popular cluster computing framework Apache Spark is used through the experiments and the promising results suggests a great potential of Apache Spark for large-scale point data processing.

  20. Using AMDD method for Database Design in Mobile Cloud Computing Systems

    Directory of Open Access Journals (Sweden)

    Silviu Claudiu POPA

    2013-01-01

    Full Text Available The development of the technologies of wireless telecommunications gave birth of new kinds of e-commerce, the so called Mobile e-Commerce or m-Commerce. Mobile Cloud Computing (MCC represents a new IT research area that combines mobile computing and cloud compu-ting techniques. Behind a cloud mobile commerce system there is a database containing all necessary information for transactions. By means of Agile Model Driven Development (AMDD method, we are able to achieve many benefits that smooth the progress of designing the databases utilized for cloud m-Commerce systems.

  1. Analisis Teknik-Teknik Keamanan Pada Future Cloud Computing vs Current Cloud Computing: Survey Paper

    Directory of Open Access Journals (Sweden)

    Beny Nugraha

    2016-08-01

    Full Text Available Cloud computing adalah salah satu dari teknologi jaringan yang sedang berkembang pesat saat ini, hal ini dikarenakan cloud computing memiliki kelebihan dapat meningkatkan fleksibilitas dan kapabilitas dari proses komputer secara dinamis tanpa perlu mengeluarkan dana besar untuk membuat infrastruktur baru, oleh karena itu, peningkatan kualitas keamanan jaringan cloud computing sangat diperlukan. Penelitian ini akan meneliti teknik-teknik keamanan yang ada pada cloud computing saat ini dan arsitektur cloud computing masa depan, yaitu NEBULA. Teknik-teknik keamanan tersebut akan dibandingkan dalam hal kemampuannya dalam menangani serangan-serangan keamanan yang mungkin terjadi pada cloud computing. Metode yang digunakan pada penelitian ini adalah metode attack centric, yaitu setiap serangan keamanan dianalisis karakteristiknya dan kemudian diteliti mekanisme keamanan untuk menanganinya. Terdapat empat serangan keamanan yang diteliti dalam penelitian ini, dengan mengetahui bagaimana cara kerja sebuah serangan keamanan, maka akan diketahui juga mekanisme keamanan yang mana yang bisa mengatasi serangan tersebut. Dari penelitian ini didapatkan bahwa NEBULA memiliki tingkat keamanan yang paling tinggi. NEBULA memiliki tiga teknik baru yaitu Proof of Consent (PoC, Proof of Path (PoP, dan teknik kriptografi ICING. Ketiga teknik tersebut ditambah dengan teknik onion routing dapat mengatasi serangan keamanan yang dianalisa pada penelitian ini.

  2. Application Scheduling in Mobile Cloud Computing with Load Balancing

    Directory of Open Access Journals (Sweden)

    Xianglin Wei

    2013-01-01

    Full Text Available Mobile cloud computing (MCC enables the mobile devices to offload their applications to the cloud and thus greatly enriches the types of applications on mobile devices and enhances the quality of service of the applications. Under various circumstances, researchers have put forward several MCC architectures. However, how to reduce the response latency while efficiently utilizing the idle service capacities of the mobile devices still remains a challenge. In this paper, we firstly give a definition of MCC and divide the recently proposed architectures into four categories. Secondly, we present a Hybrid Local Mobile Cloud Model (HLMCM by extending the Cloudlet architecture. Then, after formulating the application scheduling problems in HLMCM and bringing forward the Hybrid Ant Colony algorithm based Application Scheduling (HACAS algorithm, we finally validate the efficiency of the HACAS algorithm by simulation experiments.

  3. Towards Dynamic Remote Data Auditing in Computational Clouds

    Directory of Open Access Journals (Sweden)

    Mehdi Sookhak

    2014-01-01

    Full Text Available Cloud computing is a significant shift of computational paradigm where computing as a utility and storing data remotely have a great potential. Enterprise and businesses are now more interested in outsourcing their data to the cloud to lessen the burden of local data storage and maintenance. However, the outsourced data and the computation outcomes are not continuously trustworthy due to the lack of control and physical possession of the data owners. To better streamline this issue, researchers have now focused on designing remote data auditing (RDA techniques. The majority of these techniques, however, are only applicable for static archive data and are not subject to audit the dynamically updated outsourced data. We propose an effectual RDA technique based on algebraic signature properties for cloud storage system and also present a new data structure capable of efficiently supporting dynamic data operations like append, insert, modify, and delete. Moreover, this data structure empowers our method to be applicable for large-scale data with minimum computation cost. The comparative analysis with the state-of-the-art RDA schemes shows that the proposed scheme is secure and highly efficient in terms of the computation and communication overhead on the auditor and server.

  4. If It's in the Cloud, Get It on Paper: Cloud Computing Contract Issues

    Science.gov (United States)

    Trappler, Thomas J.

    2010-01-01

    Much recent discussion has focused on the pros and cons of cloud computing. Some institutions are attracted to cloud computing benefits such as rapid deployment, flexible scalability, and low initial start-up cost, while others are concerned about cloud computing risks such as those related to data location, level of service, and security…

  5. Embracing the Cloud: Six Ways to Look at the Shift to Cloud Computing

    Science.gov (United States)

    Ullman, David F.; Haggerty, Blake

    2010-01-01

    Cloud computing is the latest paradigm shift for the delivery of IT services. Where previous paradigms (centralized, decentralized, distributed) were based on fairly straightforward approaches to technology and its management, cloud computing is radical in comparison. The literature on cloud computing, however, suffers from many divergent…

  6. Embracing the Cloud: Six Ways to Look at the Shift to Cloud Computing

    Science.gov (United States)

    Ullman, David F.; Haggerty, Blake

    2010-01-01

    Cloud computing is the latest paradigm shift for the delivery of IT services. Where previous paradigms (centralized, decentralized, distributed) were based on fairly straightforward approaches to technology and its management, cloud computing is radical in comparison. The literature on cloud computing, however, suffers from many divergent…

  7. If It's in the Cloud, Get It on Paper: Cloud Computing Contract Issues

    Science.gov (United States)

    Trappler, Thomas J.

    2010-01-01

    Much recent discussion has focused on the pros and cons of cloud computing. Some institutions are attracted to cloud computing benefits such as rapid deployment, flexible scalability, and low initial start-up cost, while others are concerned about cloud computing risks such as those related to data location, level of service, and security…

  8. Cloud Computing in Higher Education Sector for Sustainable Development

    Science.gov (United States)

    Duan, Yuchao

    2016-01-01

    Cloud computing is considered a new frontier in the field of computing, as this technology comprises three major entities namely: software, hardware and network. The collective nature of all these entities is known as the Cloud. This research aims to examine the impacts of various aspects namely: cloud computing, sustainability, performance…

  9. Cloud Computing:A Perfect Fit for Midsized Companies

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    @@ I often hear a debate about exactly who is using cloud computing--especially the IaaS variant.Many times I hear people aver that cloud computing is mostly being used by SMB companies.Others assert that cloud computing will really pick up when really large companies make the move.

  10. Analysis on Cloud Computing Information Security Problems and the Countermeasures

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    Cloud computing is one of the most popular terms in the present IT industry, as well as one of the most prosperous technology. This paper introduces the concept, principle and characteristics of cloud computing, analyzes information security problems resulted from cloud computing, and puts forward corresponding solutions.

  11. 76 FR 13984 - Cloud Computing Forum & Workshop III

    Science.gov (United States)

    2011-03-15

    ... National Institute of Standards and Technology Cloud Computing Forum & Workshop III AGENCY: National... announces the Cloud Computing Forum & Workshop III to be held on April 7 and 8, 2011. The event will include... tactical Cloud Computing program, including progress on the NIST efforts to advance open standards in...

  12. 75 FR 64258 - Cloud Computing Forum & Workshop II

    Science.gov (United States)

    2010-10-19

    ... National Institute of Standards and Technology Cloud Computing Forum & Workshop II AGENCY: National... announces the Cloud Computing Forum & Workshop II to be held on November 4 and 5, 2010. This workshop will provide information on a Cloud Computing Roadmap Strategy as well as provide an updated status on NIST...

  13. Cloud computing and its applications in the world of networking

    Directory of Open Access Journals (Sweden)

    Puja Dhar

    2012-01-01

    Full Text Available The paper discusses the most discussed topic nowadays cloud computing. Cloud computing is becoming a buzzword. The paper explains the concept, Services provided by cloud computing and different service providers. Also it works out how this technology can be harnessed to bring benefits to the challenges of the business, in terms of cost reduction and maintain competitiveness.

  14. Mobile Cloud Computing: A Comparison of Application Models

    CERN Document Server

    Kovachev, Dejan; Klamma, Ralf

    2011-01-01

    Cloud computing is an emerging concept combining many fields of computing. The foundation of cloud computing is the delivery of services, software and processing capacity over the Internet, reducing cost, increasing storage, automating systems, decoupling of service delivery from underlying technology, and providing flexibility and mobility of information. However, the actual realization of these benefits is far from being achieved for mobile applications and open many new research questions. In order to better understand how to facilitate the building of mobile cloud-based applications, we have surveyed existing work in mobile computing through the prism of cloud computing principles. We give a definition of mobile cloud coputing and provide an overview of the results from this review, in particular, models of mobile cloud applications. We also highlight research challenges in the area of mobile cloud computing. We conclude with recommendations for how this better understanding of mobile cloud computing can ...

  15. OpenRS-Cloud:A remote sensing image processing platform based on cloud computing environment

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    This paper explores the use of cloud computing for remote sensing image processing.The main contribution of our work is to develop a remote sensing image processing platform based on cloud computing technology(OpenRS-Cloud).This paper focuses on enabling methodical investigations into the development pattern,computational model,data management and service model exploring this novel distributed computing model.The experimental INSAR processing flow is implemented to verify the efficiency and feasibility of OpenRS-Cloud platform.The results show that cloud computing is well suited for computationally-intensive and data-intensive remote sensing services.

  16. Cloud computing challenges, limitations and R&D solutions

    CERN Document Server

    Mahmood, Zaigham

    2014-01-01

    This important text/reference reviews the challenging issues that present barriers to greater implementation of the cloud computing paradigm, together with the latest research into developing potential solutions. Exploring the strengths and vulnerabilities of cloud provision and cloud environments, Cloud Computing: Challenges, Limitations and R&D Solutions provides case studies from a diverse selection of researchers and practitioners of international repute. The implications of emerging cloud technologies are also analyzed from the perspective of consumers. Topics and features: presents

  17. Security, Privacy and Trust Challenges in Cloud Computing and Solutions

    Directory of Open Access Journals (Sweden)

    Seyyed Yasser hashemi

    2014-07-01

    Full Text Available Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Cloud computing recently emerged as a promising solution to information technology (IT management. IT managers look to cloud computing as a means to maintain a flexible and scalable IT infrastructure that enables business agility. As much as the technological benefits, cloud computing also has risks involved. In this paper Cloud Computing security challenges will be discussed and proposed many new recommendations to increase security and trust also maintaining privacy.

  18. Cloud Computing Test Bed for NASA Earth Observation

    Science.gov (United States)

    Klene, S. A.; Murphy, K. J.; Fertetta, M.; Law, E.; Wilson, B. D.; Hua, H.; Huang, T.

    2014-12-01

    In order to develop a deeper understanding of utilizing cloud computing technologies for using earth observation data processing a test bed was created to ease access to the technology. Users had expressed concerns about accruing large compute bills by accident while they are learning to use the technology. The test bed is to support NASA efforts such as: Developing a Science Data Service platform to handle big earth data for supporting scalable time and space searches, on-the-fly climatologies, data extraction and data transformation such as data re-gridding. Multi-sensor climate data fusion where users can select, merge and cache variables from multiple sensors to compare data over multiple years. Facilitate rapid prototype efforts to provide an infrastructure so that new development efforts do not need to spend time and effort obtaining a platform. Once successful development is done the application could then scale to very large platform on larger or commercial clouds. Goals of the test bed are: To provide a greater understanding of cloud computing so informed choices can be made on future efforts to handle the over 15 Petabytes of NASA earth science data. Provide an environment where a set of science tools can be developed and reused by multiple earth science disciplines. Develop a Platform as a Service (PaaS) capability for general earth science use. This talk will present the lessons learned from building a community cloud for earth science data.

  19. Efficient Resource Utilization Algorithm (ERUA for Service Request Scheduling in Cloud

    Directory of Open Access Journals (Sweden)

    Ramkumar N

    2013-04-01

    Full Text Available Cloud computing provides us with the massive pool of resources in terms of pay-as-you-use policy. Cloud delivers these resources on demand through the use of network resources under different load conditions. As the users will be charged based on their usage the effective utilization of resources poses a major challenge. To accomplish this, a service request scheduling algorithm which reduces the waiting time of the task in the scheduler and maximizes the Quality of Service (QoS is needed. Our proposed algorithm named Effective Resource Utilization Algorithm (ERUA is based on 3-tier cloud architecture (Consumer, Service Provider and the Resource Provider which benefits both the user (QoS and the service provider (Cost through effective schedule reallocation based on utilization ratio leading to better resource utilization. Performance analysis made with the existing scheduling techniques shows that our algorithm gives out a more optimized schedule and enhances the efficiency rate.

  20. Reconciliation of the cloud computing model with US federal electronic health record regulations.

    Science.gov (United States)

    Schweitzer, Eugene J

    2012-01-01

    Cloud computing refers to subscription-based, fee-for-service utilization of computer hardware and software over the Internet. The model is gaining acceptance for business information technology (IT) applications because it allows capacity and functionality to increase on the fly without major investment in infrastructure, personnel or licensing fees. Large IT investments can be converted to a series of smaller operating expenses. Cloud architectures could potentially be superior to traditional electronic health record (EHR) designs in terms of economy, efficiency and utility. A central issue for EHR developers in the US is that these systems are constrained by federal regulatory legislation and oversight. These laws focus on security and privacy, which are well-recognized challenges for cloud computing systems in general. EHRs built with the cloud computing model can achieve acceptable privacy and security through business associate contracts with cloud providers that specify compliance requirements, performance metrics and liability sharing.

  1. Research On Preserving User Confidentiality In Cloud Computing – Design Of A Confidentiality Framework

    Directory of Open Access Journals (Sweden)

    Harish Chennamsetty

    2016-09-01

    Full Text Available Cloud Computing creates a dynamic resource sharing platform. Using cloud technologies such as virtualization, data can be provided to the active users who are at high need to utilize the resources provided within the cloud. As this data (or service is stored (or offered outside the data owner's boundaries, they are skeptical for utilizing cloud technology in order to store or utilize their data or service. There are many issues for these active clients (companies or individuals to be petrified at the thought of using cloud computing paradigm. Some of the main issues that make the clients not to choose cloud computing may be determined because of three important security aspects such as confidentiality, integrity, and availability. This research focused on the security models that relate confidentiality issues. A literature Review is performed for analyzing the existing confidentiality frameworks and security models in the area of grid computing, cluster computing and virtualization. A new theoretical framework is then designed to overcome confidentiality issues thereby improving the client‟sgeneric understanding of cloud computing services. The resulting framework when implemented in real world would motivate clients to transform their businesses on to cloud.

  2. Baseline Requirements and Architecture for Cloud Computing Services

    Directory of Open Access Journals (Sweden)

    Abdur Rahim Choudhary

    2012-12-01

    Full Text Available Government initiatives such as the “Cloud First” policy are bringing the cloud computing services into Federal Agencies. Further, many of the sectors in the Critical Infrastructure of the nation already use cloud computing. Although cloud computing services are slowly coming to age, many issues remain. This paper therefore takes a closer look at the cloud computing services. First it establishes a baseline by specifying high level requirements for cloud computing services. Next it improves upon the current architecture for the cloud computing services by adding new modules to the current architecture. The new modules are gleaned from an analysis of the telecommunications cloud and security in distributed systems. The new modules include a management and control network, a set of trust domains, and a set of proxies. The improved architecture is more ready for primetime use and supports a richer operational model.

  3. Cloud Computing and Agile Organization Development

    Directory of Open Access Journals (Sweden)

    Bogdan GHILIC-MICU

    2014-01-01

    Full Text Available In the 3rd millennium economy, defined by globalization and continuous reduction of natural resources, the economic organization becomes the main actor in the phenomenon of transfor-mation and adaptation to new conditions. Even more, the economic environment, which is closely related to the social environment, undergoes complex metamorphoses, especially in the management area. In this dynamic and complex social and environmental context, the econom-ic organization must possess the ability to adapt, becoming a flexible and agile answer to new market opportunities. Considering the spectacular evolution of information and communica-tions technology, one of the solutions to ensure organization agility is cloud computing. Just like the development of any science requires adaptation to theories and instruments specific to other fields, a cloud computing paradigm for the agile organization must appeal to models from management, cybernetics, mathematics, structuralism and information theory (or information systems theory.

  4. Facilitating NASA Earth Science Data Processing Using Nebula Cloud Computing

    Science.gov (United States)

    Chen, A.; Pham, L.; Kempler, S.; Theobald, M.; Esfandiari, A.; Campino, J.; Vollmer, B.; Lynnes, C.

    2011-12-01

    Cloud Computing technology has been used to offer high-performance and low-cost computing and storage resources for both scientific problems and business services. Several cloud computing services have been implemented in the commercial arena, e.g. Amazon's EC2 & S3, Microsoft's Azure, and Google App Engine. There are also some research and application programs being launched in academia and governments to utilize Cloud Computing. NASA launched the Nebula Cloud Computing platform in 2008, which is an Infrastructure as a Service (IaaS) to deliver on-demand distributed virtual computers. Nebula users can receive required computing resources as a fully outsourced service. NASA Goddard Earth Science Data and Information Service Center (GES DISC) migrated several GES DISC's applications to the Nebula as a proof of concept, including: a) The Simple, Scalable, Script-based Science Processor for Measurements (S4PM) for processing scientific data; b) the Atmospheric Infrared Sounder (AIRS) data process workflow for processing AIRS raw data; and c) the GES-DISC Interactive Online Visualization ANd aNalysis Infrastructure (GIOVANNI) for online access to, analysis, and visualization of Earth science data. This work aims to evaluate the practicability and adaptability of the Nebula. The initial work focused on the AIRS data process workflow to evaluate the Nebula. The AIRS data process workflow consists of a series of algorithms being used to process raw AIRS level 0 data and output AIRS level 2 geophysical retrievals. Migrating the entire workflow to the Nebula platform is challenging, but practicable. After installing several supporting libraries and the processing code itself, the workflow is able to process AIRS data in a similar fashion to its current (non-cloud) configuration. We compared the performance of processing 2 days of AIRS level 0 data through level 2 using a Nebula virtual computer and a local Linux computer. The result shows that Nebula has significantly

  5. Chaos-based Cryptography for Cloud Computing

    OpenAIRE

    Tobin, Paul; Tobin, Lee; McKeever, Michael; Blackledge, Jonathan

    2017-01-01

    Cloud computing and poor security issues have quadrupled over the last six years and with the alleged presence of backdoors in common encryption ciphers, has created a need for personalising the encryption process by the client. In 2007, two Microsoft employees gave a presentation ``On the Possibility of a backdoor in the NIST SP800-90 Dual Elliptic Curve Pseudo Random Number Generators'' and was linked in 2013 by the New York Times with notes leaked by Edward Snowden. This confirmed backdoor...

  6. Service Composition in a Cloud Computing Environment

    OpenAIRE

    Abrha, Abrha; Heggen Skogen, Endre

    2011-01-01

    Today, composite services can be constructed by combining and coordinating a set of independent services in a process referred to as a service composition. Due to their dependencies on external components, composite services are especially dependent on a reliable hosting environment. The next generation service delivery platform, cloud computing, is emerging as a hosting environment that can support these service compositions better than a traditional hosting environment. This is mainly due t...

  7. Platforms for Building and Deploying Applications for Cloud Computing

    CERN Document Server

    Buyya, Rajkumar

    2011-01-01

    Cloud computing is rapidly emerging as a new paradigm for delivering IT services as utlity-oriented services on subscription-basis. The rapid development of applications and their deployment in Cloud computing environments in efficient manner is a complex task. In this article, we give a brief introduction to Cloud computing technology and Platform as a Service, we examine the offerings in this category, and provide the basis for helping readers to understand basic application platform opportunities in Cloud by technologies such as Microsoft Azure, Sales Force, Google App, and Aneka for Cloud computing. We demonstrate that Manjrasoft Aneka is a Cloud Application Platform (CAP) leveraging these concepts and allowing an easy development of Cloud ready applications on a Private/Public/Hybrid Cloud. Aneka CAP offers facilities for quickly developing Cloud applications and a modular platform where additional services can be easily integrated to extend the system capabilities, thus being at pace with the rapidly ev...

  8. A Logistics Distribution Plan Based on Cloud Computing

    OpenAIRE

    2013-01-01

    Aiming at the problems of lowing informatization level and degree of specialization, high consumption and low efficiency in logistics and distribution industry, this paper analyzes the characteristics of cloud computing and the actual needs of enterprise logistics. On this basis, depth study of the logistics and distribution needs of the cloud computing architecture, depth study of the cloud computing architecture in the logistics and distribution needs, and then propose a cloud-based modern ...

  9. A LOAD BALANCING MODEL USING FIREFLY ALGORITHM IN CLOUD COMPUTING

    Directory of Open Access Journals (Sweden)

    A. Paulin Florence

    2014-01-01

    Full Text Available Cloud computing is a model that points at streamlining the on-demand provisioning of software, hardware and data as services and providing end-users with flexible and scalable services accessible through the Internet. The main objective of the proposed approach is to maximize the resource utilization and provide a good balanced load among all the resources in cloud servers. Initially, a load model of every resource will be derived based on several factors such as, memory usage, processing time and access rate. Based on the newly derived load index, the current load will be computed for all the resources shared in virtual machine of cloud servers. Once the load index is computed for all the resources, load balancing operation will be initiated to effectively use the resources dynamically with the process of assigning resources to the corresponding node to reduce the load value. So, assigning of resources to proper nodes is an optimal distribution problem so that many optimization algorithms such as genetic algorithm and modified genetic algorithm are utilized for load balancing. These algorithms are not much effective in providing the neighbour solutions since it does not overcome exploration and exploration problem. So, utilizing the effective optimization procedure instead of genetic algorithm can lead to better load balancing since it is a traditional and old algorithm. Accordingly, I have planned to utilize a recent optimization algorithm, called firefly algorithm to do the load balancing operation in our proposed work. At first, the index table will be maintained by considering the availability of virtual servers and sequence of request. Then, load index will be computed based on the newly derived formulae. Based on load index, load balancing operation will be carried out using firefly algorithm. The performance analysis produced expected results and thus proved the proposed approach is efficient in optimizing schedules by balancing the

  10. Reliability in the utility computing era: Towards reliable Fog computing

    DEFF Research Database (Denmark)

    Madsen, Henrik; Burtschy, Bernard; Albeanu, G.

    2013-01-01

    This paper considers current paradigms in computing and outlines the most important aspects concerning their reliability. The Fog computing paradigm as a non-trivial extension of the Cloud is considered and the reliability of the networks of smart devices are discussed. Combining the reliability...... requirements of grid and cloud paradigms with the reliability requirements of networks of sensor and actuators it follows that designing a reliable Fog computing platform is feasible....

  11. Application of Intelligent Data Mining Approach in Securing the Cloud Computing

    Directory of Open Access Journals (Sweden)

    Hanna M. Said

    2016-09-01

    Full Text Available Cloud computing is a modern term refers to a model for emerging computing, where it is possible to use machines in large data centers for delivering services in a scalable manner, so corporations has become in need for large scale inexpensive computing. Recently, several governments have begun to utilize cloud computing architectures, applications and platforms for meeting the needs of their constituents and delivering services. Security occupies the first rank of obstacles that face cloud computing for governmental agencies and businesses. Cloud computing is surrounded by many risks that may have major effects on services and information supported via this technology. Also, Cloud Computing is one of the promising technology in which the scientific community has recently encountered. Cloud computing is related to other research areas such as distributed and grid computing, Service-Oriented Architecture, and virtualization, as cloud computing inherited their limitations and advancements. It is possible to exploit new opportunities for security. This paper aim is to discuss and analyze how achieve mitigation for cloud computing security risks as a basic step towards obtaining secure and safe environment for cloud computing. The results showed that, Using a simple decision tree model Chaid algorithm security rating for classifying approach is a robust technique that enables the decision-maker to measure the extent of cloud securing, and the provided services. It was proved throughout this paper that policies, standards, and controls are critical in management process to safeguard and protect the systems as well as data. The management process should analyze and understand cloud computing risks for protecting systems and data from security exploits

  12. Fog Computing to protect real and sensitivity information in Cloud

    OpenAIRE

    Thogaricheti Ashwini; Anuradha.S.G

    2015-01-01

    Cloud computing can simply be described as computing based on the internet. In the past, people depended on physical computer storage or servers to run their programs. However, with the introduction of cloud computing, people as well as business enterprises can now access their programs through the internet. Due this ease, software companies and other agencies are shifting more towards cloud computing environment. To achieve better operational efficiency in many organizations and ...

  13. Cloud Computing as Evolution of Distributed Computing – A Case Study for SlapOS Distributed Cloud Computing Platform

    Directory of Open Access Journals (Sweden)

    George SUCIU

    2013-01-01

    Full Text Available The cloud computing paradigm has been defined from several points of view, the main two directions being either as an evolution of the grid and distributed computing paradigm, or, on the contrary, as a disruptive revolution in the classical paradigms of operating systems, network layers and web applications. This paper presents a distributed cloud computing platform called SlapOS, which unifies technologies and communication protocols into a new technology model for offering any application as a service. Both cloud and distributed computing can be efficient methods for optimizing resources that are aggregated from a grid of standard PCs hosted in homes, offices and small data centers. The paper fills a gap in the existing distributed computing literature by providing a distributed cloud computing model which can be applied for deploying various applications.

  14. NCloud - Experimenting with Architecting and Facilitating Utility Services for establishing Educational Cloud

    Directory of Open Access Journals (Sweden)

    Madhuri Bhavsar

    2013-06-01

    Full Text Available Academic Institutions as well as Enterprises all over the globe have become heavily dependent on high performance computing systems for their day to day activities and hence it continues to seek opportunities to rationalize and optimize the utilization of resources. Continuous upgradation  of software and hardware have become important items of those organizations meetings creating budget pressure. In such scenario, Cloud computing services could provide many of those organizations to enhance the productivity keeping the budget expenditure low.The paper discusses the experiments carried out on our educational campus for architecting the cloud – hereafter referred as NCloud (Cloud built on Nirma Campus, configured using open source tools, furnishes the utility services which is leading towards an establishment of  a stepping stone for formation of knowledge cloud. Testbed formed for data center consists of 1 front-end and 16 worker node.  By using NCloud, user will be able to fulfill the demand  of infrastructure as a service in which user is provided an operating system with specific RAM and CPU cores. Utility oriented services in NCloud aims to charge user for what they use. For implementing utility oriented services, analysis of various major cloud providers is done including pricing models. Performance measures on heterogeneous platforms and the results obtained are included in the paper.

  15. Cloud Computing Architecture: The Improved Strategy for Good E-Governance

    Directory of Open Access Journals (Sweden)

    Dr. G. P. Singh Rajendra Singh Thapa

    2011-08-01

    Full Text Available Cloud Computing provides a great opportunity for governments across the globe, to provide reliable E-Governance quickly, at lower costs. Cloud computing features like application virtualization, end-to-end service management, instant deployment and ease of maintenance are catalysts that jumpstart application deployment on the Cloud. With proper planning, execution, training and good management, the Cloud infrastructure can greatly reduce overall costs for government departments maintaining and managing E-Services for E-Governance, and help in efficiently utilization.

  16. CERN Computing Colloquium | Hidden in the Clouds: New Ideas in Cloud Computing | 30 May

    CERN Multimedia

    2013-01-01

    by Dr. Shevek (NEBULA) Thursday 30 May 2013 from 2 p.m. to 4 p.m. at CERN ( 40-S2-D01 - Salle Dirac ) Abstract: Cloud computing has become a hot topic. But 'cloud' is no newer in 2013 than MapReduce was in 2005: We've been doing both for years. So why is cloud more relevant today than it ever has been? In this presentation, we will introduce the (current) central thesis of cloud computing, and explore how and why (or even whether) the concept has evolved. While we will cover a little light background, our primary focus will be on the consequences, corollaries and techniques introduced by some of the leading cloud developers and organizations. We each have a different deployment model, different applications and workloads, and many of us are still learning to efficiently exploit the platform services offered by a modern implementation. The discussion will offer the opportunity to share these experiences and help us all to realize the benefits of cloud computing to the ful...

  17. Performance Analysis of Cloud Computing Architectures Using Discrete Event Simulation

    Science.gov (United States)

    Stocker, John C.; Golomb, Andrew M.

    2011-01-01

    Cloud computing offers the economic benefit of on-demand resource allocation to meet changing enterprise computing needs. However, the flexibility of cloud computing is disadvantaged when compared to traditional hosting in providing predictable application and service performance. Cloud computing relies on resource scheduling in a virtualized network-centric server environment, which makes static performance analysis infeasible. We developed a discrete event simulation model to evaluate the overall effectiveness of organizations in executing their workflow in traditional and cloud computing architectures. The two part model framework characterizes both the demand using a probability distribution for each type of service request as well as enterprise computing resource constraints. Our simulations provide quantitative analysis to design and provision computing architectures that maximize overall mission effectiveness. We share our analysis of key resource constraints in cloud computing architectures and findings on the appropriateness of cloud computing in various applications.

  18. Cloud Libraries: A Novel Application of Cloud Computing

    Directory of Open Access Journals (Sweden)

    Faiz Abidi

    2012-07-01

    Full Text Available Libraries all over the world suffer from common problems like flexibility associated with the digital data, lower levels of efficiency, and huge cost involved in managing the entire IT infrastructure themselves. Few options are available when it comes to collaborating with other libraries as well which is the prime reason for subordinate levels of efficiency. Cloud computing would help us in bridging the gap between digital libraries and IT. Sharing of data among the libraries will in principle reduce the overall cost and increase the efficiency. Capital expenditure done on infrastructure will chiefly be converted into operational expenditure.  It will also enhance the users’ experience and will help in making the libraries a lot more scalable.

  19. Above the cloud computing: applying cloud computing principles to create an orbital services model

    Science.gov (United States)

    Straub, Jeremy; Mohammad, Atif; Berk, Josh; Nervold, Anders K.

    2013-05-01

    Large satellites and exquisite planetary missions are generally self-contained. They have, onboard, all of the computational, communications and other capabilities required to perform their designated functions. Because of this, the satellite or spacecraft carries hardware that may be utilized only a fraction of the time; however, the full cost of development and launch are still bone by the program. Small satellites do not have this luxury. Due to mass and volume constraints, they cannot afford to carry numerous pieces of barely utilized equipment or large antennas. This paper proposes a cloud-computing model for exposing satellite services in an orbital environment. Under this approach, each satellite with available capabilities broadcasts a service description for each service that it can provide (e.g., general computing capacity, DSP capabilities, specialized sensing capabilities, transmission capabilities, etc.) and its orbital elements. Consumer spacecraft retain a cache of service providers and select one utilizing decision making heuristics (e.g., suitability of performance, opportunity to transmit instructions and receive results - based on the orbits of the two craft). The two craft negotiate service provisioning (e.g., when the service can be available and for how long) based on the operating rules prioritizing use of (and allowing access to) the service on the service provider craft, based on the credentials of the consumer. Service description, negotiation and sample service performance protocols are presented. The required components of each consumer or provider spacecraft are reviewed. These include fully autonomous control capabilities (for provider craft), a lightweight orbit determination routine (to determine when consumer and provider craft can see each other and, possibly, pointing requirements for craft with directional antennas) and an authentication and resource utilization priority-based access decision making subsystem (for provider craft

  20. Fuzzy Keyword Search Over Encrypted Data in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Yogesh K. Gedam,

    2014-07-01

    Full Text Available As Cloud Computing becomes prevalent, more and more sensitive information are being centralized into the cloud. For the protection of data privacy, sensitive data usually have to be encrypted before outsourcing, which makes effective data utilization a very challenging task. Although traditional searchable encryption schemes allow a user to securely search over encrypted data through keywords and selectively retrieve files of interest, these techniques support only exact keyword search. This significant drawback makes existing techniques unsuitable in cloud computing as it is greatly affect system usability, rendering user searching experiences very frustrating and system efficiency very low. In this paper, for the first time we formalize and solve the problem of effective fuzzy keyword search over encrypted cloud while maintaining keyword privacy. In our solution, we exploit edit distance to quantify keyword similarity and develop new advanced technique on constructing fuzzy keyword sets which greatly reduces the storage and representation overheads. In this way, we show that our proposed solution is secure and privacy preserving, while realizing the goal of fuzzy keyword search.

  1. An Overview Of The Security Concerns In Enterprise Cloud Computing

    OpenAIRE

    Anthony Bisong; Rahman, Syed M

    2011-01-01

    Deploying cloud computing in an enterprise infrastructure bring significant security concerns.Successful implementation of cloud computing in an enterprise requires proper planning andunderstanding of emerging risks, threats, vulnerabilities, and possible countermeasures. We believe enterprise should analyze the company/organization security risks, threats, and available countermeasures before adopting this technology. In this paper, we have discussed security risks and concerns in cloud comp...

  2. An Overview of the Security Concerns in Enterprise Cloud Computing

    OpenAIRE

    Bisong, Anthony; Syed; Rahman, M.

    2011-01-01

    Deploying cloud computing in an enterprise infrastructure bring significant security concerns. Successful implementation of cloud computing in an enterprise requires proper planning and understanding of emerging risks, threats, vulnerabilities, and possible countermeasures. We believe enterprise should analyze the company/organization security risks, threats, and available countermeasures before adopting this technology. In this paper, we have discussed security risks and concerns in cloud co...

  3. A complex network approach to cloud computing

    CERN Document Server

    Travieso, Gonzalo; Bruno, Odemir Martinez; Costa, Luciano da Fontoura

    2015-01-01

    Cloud computing has become an important means to speed up computing. One problem influencing heavily the performance of such systems is the choice of nodes as servers responsible for executing the users' tasks. In this article we report how complex networks can be used to model such a problem. More specifically, we investigate the performance of the processing respectively to cloud systems underlain by Erdos-Renyi and Barabasi-Albert topology containing two servers. Cloud networks involving two communities not necessarily of the same size are also considered in our analysis. The performance of each configuration is quantified in terms of two indices: the cost of communication between the user and the nearest server, and the balance of the distribution of tasks between the two servers. Regarding the latter index, the ER topology provides better performance than the BA case for smaller average degrees and opposite behavior for larger average degrees. With respect to the cost, smaller values are found in the BA ...

  4. Integration of Cloud resources in the LHCb Distributed Computing

    CERN Document Server

    Ubeda Garcia, Mario; Stagni, Federico; Cabarrou, Baptiste; Rauschmayr, Nathalie; Charpentier, Philippe; Closier, Joel

    2014-01-01

    This contribution describes how Cloud resources have been integrated in the LHCb Distributed Computing. LHCb is using its specific Dirac extension (LHCbDirac) as an interware for its Distributed Computing. So far, it was seamlessly integrating Grid resources and Computer clusters. The cloud extension of DIRAC (VMDIRAC) allows the integration of Cloud computing infrastructures. It is able to interact with multiple types of infrastructures in commercial and institutional clouds, supported by multiple interfaces (Amazon EC2, OpenNebula, OpenStack and CloudStack) – instantiates, monitors and manages Virtual Machines running on this aggregation of Cloud resources. Moreover, specifications for institutional Cloud resources proposed by Worldwide LHC Computing Grid (WLCG), mainly by the High Energy Physics Unix Information Exchange (HEPiX) group, have been taken into account. Several initiatives and computing resource providers in the eScience environment have already deployed IaaS in production during 2013. Keepin...

  5. Review of Potential Threats on Cloud Computing

    Directory of Open Access Journals (Sweden)

    Dr. Ananthi Seshasaayee

    2013-07-01

    Full Text Available Cloud Computing is the evolution, over the past 20+ years, of a continuous trend towards the industrialization of IT. This is in part due to the popularity of outsourcing and hosting of increasingly industrialized service definitions and cost structures & pricing. This has also spurred dramatic growth in popularity and use of both internet and corporate wide intranets as trusted delivery models. But are they safe and secure for storing confidential information? How can we make sure that the client has total control over their data on the cloud? Is it true that in order to reduce the cost of operation and efficiency, we have to comprising giving away sensitive data? This paper does an in-depth study of the recurring vulnerabilities.

  6. Managing Associated Risks in Cloud Computer Applications Abstract

    African Journals Online (AJOL)

    2012-12-01

    Dec 1, 2012 ... cloud computing as a technology and has chosen the party agent reports of an electoral process as a case ... Business applications are moving to the cloud. ..... activity going on. .... Retrieved from IEEE Xplore Digital Library:.

  7. Security, Privacy and Trust Challenges in Cloud Computing and Solutions

    OpenAIRE

    Seyyed Yasser hashemi; Parisa Sheykhi Hesarlo

    2014-01-01

    Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Cloud computing recently emerged as a promising solution to information technology (IT) management. IT managers look to cloud computing as a means to maintain a flexible and scalable IT infrastructure that enables business agility. As much as the technologic...

  8. A Novel Cloud Computing Algorithm of Security and Privacy

    OpenAIRE

    Chih-Yung Chen; Jih-Fu Tu

    2013-01-01

    The emergence of cloud computing has simplified the flow of large-scale deployment distributed system of software suppliers; when issuing respective application programs in a sharing clouds service to different user, the management of material becomes more complex. Therefore, in multitype clouds service of trust environment, when enterprises face cloud computing, what most worries is the issue of security, but individual users are worried whether the privacy material will have an outflow risk...

  9. Exploring Cloud Computing for Large-scale Scientific Applications

    Energy Technology Data Exchange (ETDEWEB)

    Lin, Guang; Han, Binh; Yin, Jian; Gorton, Ian

    2013-06-27

    This paper explores cloud computing for large-scale data-intensive scientific applications. Cloud computing is attractive because it provides hardware and software resources on-demand, which relieves the burden of acquiring and maintaining a huge amount of resources that may be used only once by a scientific application. However, unlike typical commercial applications that often just requires a moderate amount of ordinary resources, large-scale scientific applications often need to process enormous amount of data in the terabyte or even petabyte range and require special high performance hardware with low latency connections to complete computation in a reasonable amount of time. To address these challenges, we build an infrastructure that can dynamically select high performance computing hardware across institutions and dynamically adapt the computation to the selected resources to achieve high performance. We have also demonstrated the effectiveness of our infrastructure by building a system biology application and an uncertainty quantification application for carbon sequestration, which can efficiently utilize data and computation resources across several institutions.

  10. Energy Conservation Using Dynamic Voltage Frequency Scaling for Computational Cloud

    Directory of Open Access Journals (Sweden)

    A. Paulin Florence

    2016-01-01

    Full Text Available Cloud computing is a new technology which supports resource sharing on a “Pay as you go” basis around the world. It provides various services such as SaaS, IaaS, and PaaS. Computation is a part of IaaS and the entire computational requests are to be served efficiently with optimal power utilization in the cloud. Recently, various algorithms are developed to reduce power consumption and even Dynamic Voltage and Frequency Scaling (DVFS scheme is also used in this perspective. In this paper we have devised methodology which analyzes the behavior of the given cloud request and identifies the associated type of algorithm. Once the type of algorithm is identified, using their asymptotic notations, its time complexity is calculated. Using best fit strategy the appropriate host is identified and the incoming job is allocated to the victimized host. Using the measured time complexity the required clock frequency of the host is measured. According to that CPU frequency is scaled up or down using DVFS scheme, enabling energy to be saved up to 55% of total Watts consumption.

  11. Energy Conservation Using Dynamic Voltage Frequency Scaling for Computational Cloud.

    Science.gov (United States)

    Florence, A Paulin; Shanthi, V; Simon, C B Sunil

    2016-01-01

    Cloud computing is a new technology which supports resource sharing on a "Pay as you go" basis around the world. It provides various services such as SaaS, IaaS, and PaaS. Computation is a part of IaaS and the entire computational requests are to be served efficiently with optimal power utilization in the cloud. Recently, various algorithms are developed to reduce power consumption and even Dynamic Voltage and Frequency Scaling (DVFS) scheme is also used in this perspective. In this paper we have devised methodology which analyzes the behavior of the given cloud request and identifies the associated type of algorithm. Once the type of algorithm is identified, using their asymptotic notations, its time complexity is calculated. Using best fit strategy the appropriate host is identified and the incoming job is allocated to the victimized host. Using the measured time complexity the required clock frequency of the host is measured. According to that CPU frequency is scaled up or down using DVFS scheme, enabling energy to be saved up to 55% of total Watts consumption.

  12. Scope of cloud computing for SMEs in India

    CERN Document Server

    Sharma, Monika; Jola, Haresh; Kumar, Anand; Misra, Madhvendra; Tiwari, Vijayshri

    2010-01-01

    Cloud computing is a set of services that provide infrastructure resources using internet media and data storage on a third party server. SMEs are said to be the lifeblood of any vibrant economy. They are known to be the silent drivers of a nation's economy. SMEs of India are one of the most aggressive adopters of ERP Packages. Most of the Indian SMEs have adopted the traditional ERP Systems and have incurred a heavy cost while implementing these systems. This paper presents the cost savings and reduction in the level of difficulty in adopting a cloud computing Service (CCS) enabled ERP system. For the study, IT people from 30 North Indian SMEs were interviewed. In the cloud computing environment the SMEs will not have to own the infrastructure so they can abstain from any capital expenditure and instead they can utilize the resources as a service and pay as per their usage. We consider the results of the paper to be supportive to our proposed research concept.

  13. Security Issues Associated with Big Data in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Venkata Narasimha Inukollu

    2014-06-01

    Full Text Available In this paper, we discuss security issues for cloud computing, Big data, Map Reduce and Hadoop environment. The main focus is on security issues in cloud computing that are associated with big data. Big data applications are a great benefit to organizations, business, companies and many large scale and small scale industries.We also discuss various possible solutions for the issues in cloud computing security and Hadoop. Cloud computing security is developing at a rapid pace which includes computer security, network security, information security, and data privacy. Cloud computing plays a very vital role in protecting data, applications and the related infrastructure with the help of policies, technologies, controls, and big data tools Moreover, cloud computing, big data and its applications, advantages are likely to represent the most promising new frontiers in science.

  14. A Review on Impacts of Cloud Computing on Digital Forensics

    Directory of Open Access Journals (Sweden)

    Farid Daryabar

    2015-05-01

    Full Text Available Nowadays, digital storage of computer data is moving toward cloud computing which is a set of infrastructure provides data storage for organizations and individuals. Due to this large scale, in case an attack occurs in the network of a cloud it would be a big challenge to investigate the cloud. Therefore, digital forensics in cloud computing is a new discipline related to the increasing use of computers, networks and digital storage devices in numerous criminal activities in both traditional and Hi-Tech. This study reviews the literature on some challenges in cloud computing forensic investigation, and it is followed by evaluation and analysis of all types of information on cloud computing and its impacts on computer forensic investigations in publishing alliances with the survey was carried out in the field.

  15. Cost-effective cloud computing: a case study using the comparative genomics tool, roundup.

    Science.gov (United States)

    Kudtarkar, Parul; Deluca, Todd F; Fusaro, Vincent A; Tonellato, Peter J; Wall, Dennis P

    2010-12-22

    Comparative genomics resources, such as ortholog detection tools and repositories are rapidly increasing in scale and complexity. Cloud computing is an emerging technological paradigm that enables researchers to dynamically build a dedicated virtual cluster and may represent a valuable alternative for large computational tools in bioinformatics. In the present manuscript, we optimize the computation of a large-scale comparative genomics resource-Roundup-using cloud computing, describe the proper operating principles required to achieve computational efficiency on the cloud, and detail important procedures for improving cost-effectiveness to ensure maximal computation at minimal costs. Utilizing the comparative genomics tool, Roundup, as a case study, we computed orthologs among 902 fully sequenced genomes on Amazon's Elastic Compute Cloud. For managing the ortholog processes, we designed a strategy to deploy the web service, Elastic MapReduce, and maximize the use of the cloud while simultaneously minimizing costs. Specifically, we created a model to estimate cloud runtime based on the size and complexity of the genomes being compared that determines in advance the optimal order of the jobs to be submitted. We computed orthologous relationships for 245,323 genome-to-genome comparisons on Amazon's computing cloud, a computation that required just over 200 hours and cost $8,000 USD, at least 40% less than expected under a strategy in which genome comparisons were submitted to the cloud randomly with respect to runtime. Our cost savings projections were based on a model that not only demonstrates the optimal strategy for deploying RSD to the cloud, but also finds the optimal cluster size to minimize waste and maximize usage. Our cost-reduction model is readily adaptable for other comparative genomics tools and potentially of significant benefit to labs seeking to take advantage of the cloud as an alternative to local computing infrastructure.

  16. Research, Implementations and Issues on Cloud Computing

    Directory of Open Access Journals (Sweden)

    Miss. K. P. Lokhande

    2013-05-01

    Full Text Available “Cloud” computing – a relatively recent term, builds on decades of research in virtualization, distributed computing, utility computing, and more recently networking, web and software services. It implies a service oriented architecture, reduced information technology overhead for the end-user, great flexibility, reduced total cost of ownership, on-demand services and many other things. This paper discusses the concept of “cloud” computing, some of the issues it tries to address, related research topics, and a “cloud” implementation available today

  17. Smart SOA platforms in cloud computing architectures

    CERN Document Server

    Exposito , Ernesto

    2014-01-01

    This book is intended to introduce the principles of the Event-Driven and Service-Oriented Architecture (SOA 2.0) and its role in the new interconnected world based on the cloud computing architecture paradigm. In this new context, the concept of "service" is widely applied to the hardware and software resources available in the new generation of the Internet. The authors focus on how current and future SOA technologies provide the basis for the smart management of the service model provided by the Platform as a Service (PaaS) layer.

  18. ATLAS computing on Swiss Cloud SWITCHengines

    CERN Document Server

    Haug, Sigve; The ATLAS collaboration

    2017-01-01

    Consolidation towards more computing at flat budgets beyond what pure chip technology can offer, is a requirement for the full scientific exploitation of the future data from the Large Hadron Collider at CERN in Geneva. One consolidation measure is to exploit cloud infrastructures whenever they are financially competitive. We report on the technical solutions and the performances used and achieved running simulation tasks for the ATLAS experiment on SWITCHengines. SWITCHengines is a new infrastructure as a service offered to Swiss academia by the National Research and Education Network SWITCH. While solutions and performances are general, financial considerations and policies, on which we also report, are country specific.

  19. Secure medical information sharing in cloud computing.

    Science.gov (United States)

    Shao, Zhiyi; Yang, Bo; Zhang, Wenzheng; Zhao, Yi; Wu, Zhenqiang; Miao, Meixia

    2015-01-01

    Medical information sharing is one of the most attractive applications of cloud computing, where searchable encryption is a fascinating solution for securely and conveniently sharing medical data among different medical organizers. However, almost all previous works are designed in symmetric key encryption environment. The only works in public key encryption do not support keyword trapdoor security, have long ciphertext related to the number of receivers, do not support receiver revocation without re-encrypting, and do not preserve the membership of receivers. In this paper, we propose a searchable encryption supporting multiple receivers for medical information sharing based on bilinear maps in public key encryption environment. In the proposed protocol, data owner stores only one copy of his encrypted file and its corresponding encrypted keywords on cloud for multiple designated receivers. The keyword ciphertext is significantly shorter and its length is constant without relation to the number of designated receivers, i.e., for n receivers the ciphertext length is only twice the element length in the group. Only the owner knows that with whom his data is shared, and the access to his data is still under control after having been put on the cloud. We formally prove the security of keyword ciphertext based on the intractability of Bilinear Diffie-Hellman problem and the keyword trapdoor based on Decisional Diffie-Hellman problem.

  20. The ATLAS Computing activities and developments of the Italian Cloud

    CERN Document Server

    Rinaldi, L; The ATLAS collaboration; Antonelli, M; Barberis, D; Barberis, S; Brunengo, A; Campana, S; Capone, V; Carlino, G; Carminati, L; Ciocca, C; Corosu, M; De Salvo, A; Di Girolamo, A; Doria, A; Esposito, R; Jha, M K; Luminari, L; Martini, A; Merola, L; Perini, L; Prelz, F; Rebatto, D; Russo, G; Vaccarossa, L; Vilucchi, E

    2012-01-01

    The large amount of data produced by the ATLAS experiment needs new computing paradigms for data processing and analysis, involving many Computing Centres spread around the world. The computing workload is managed by regional federations, called Clouds. The Italian Cloud consists of a main (Tier-1) centre, located in Bologna, four secondary (Tier-2) centres, and a few smaller (Tier-3) sites. In this contribution we describe the Italian Cloud site facilities and the activities of Data Processing, Analysis, Simulation and Software Development performed within the Cloud, and we discuss the tests of the new Computing Technologies contributing to the ATLAS Computing Model evolution.

  1. ATLAS computing activities and developments in the Italian Grid cloud

    CERN Document Server

    Rinaldi, L; The ATLAS collaboration; Antonelli, M; Barberis, D; Barberis, S; Brunengo, A; Campana, S; Capone, V; Carlino, G; Carminati, L; Ciocca, C; Corosu, M; De Salvo, A; Di Girolamo, A; Doria, A; Esposito, R; Jha, M K; Luminari, L; Martini, A; Merola, L; Perini, L; Prelz, F; Rebatto, D; Russo, G; Vaccarossa, L; Vilucchi, E

    2012-01-01

    The large amount of data produced by the ATLAS experiment needs new computing paradigms for data processing and analysis, involving many computing centres spread around the world. The computing workload is managed by regional federations, called Clouds. The Italian Cloud consists of a main (Tier-1) centre, located in Bologna, four secondary (Tier-2) centres, and a few smaller (Tier-3) sites. In this contribution we describe the Italian Cloud site facilities and the activities of data processing, analysis, simulation and software development performed within the Cloud, and we discuss the tests of the new computing technologies contributing to the ATLAS Computing Model evolution.

  2. Telemedicine Based on Mobile Devices and Mobile Cloud Computing

    Directory of Open Access Journals (Sweden)

    Lidong Wang

    2014-04-01

    Full Text Available Mobile devices such as smartphones and tablets support kinds of mobile computing and services. They can access to the cloud or offload the computation-intensive part to the cloud computing resources. Mobile cloud computing (MCC integrates the cloud computing into the mobile environment, which extends mobile devices’ battery lifetime, improves their data storage capacity and processing power, and improves their reliability and information security. In this paper, the applications of smartphones in telemedicine and MCC-based telemedicine were presented. Issues on the information security of smartphones and tablets, challenges of smartphones in telemedicine and challenges of MCC-based telemedicine were also introduced.

  3. Factors Influencing Organization Adoption Decision On Cloud Computing

    Directory of Open Access Journals (Sweden)

    Ailar Rahimli

    2013-01-01

    Full Text Available Cloud computing is a developing field, using by organization that require to computing resource to provide the organizational computing needs. The goal of this research is evaluate the factors that influence on organization decision to adopt the cloud computing in Malaysia. Factors that relate to cloud computing adoption that include : need for cloud computing, cost effectiveness, security effectiveness of cloud computing and reliability. This paper evaluated the factors that influence on adoption decision from view point of management decision making. The variable that evaluate in this study include: Cost effectiveness, Need for cloud computing, Security effectiveness, and reliability on cloud computing as independent variable and Adoption decision as dependent variable. The scope of this research is IT companies in Malaysia, and target population is member of organization that want to make decision to adopt the cloud computing. The Correlation and Multi Regression analysis show that all factor s have a positive and significant effect on organization adoption decision to cloud computing

  4. Cloud Computing Future Framework for e-management of NGO's

    CERN Document Server

    Lamba, Harjit Singh

    2011-01-01

    Cloud computing is an emerging new computing paradigm for delivering computing services. This computing approach relies on a number of existing technologies, e.g., the Internet, virtualization, grid computing, Web services, etc. Cloud Computing aims to provide scalable and inexpensive on-demand computing infrastructures with good quality of service levels. It represents a shift away from computing as a product that is purchased, to computing as a service that is delivered to consumers from the cloud. It helps an organization in saving costs and creating new business opportunities.This paper provides a framework, Education Cloud for the e- management of NGO's. The Education Cloud can transform a nonprofit, or an entire sector of nonprofits, achieves its mission and creates lasting impact in its communities. This paper also presents the case study of Kalgidhar trust, Baru Sahib, Himachal Pradesh, NGO which is using the education as the tool to solve the social issues.

  5. Evolving the Land Information System into a Cloud Computing Service

    Energy Technology Data Exchange (ETDEWEB)

    Houser, Paul R. [CREW Services LLC, Ellicott City, MD (United States)

    2015-02-17

    The Land Information System (LIS) was developed to use advanced flexible land surface modeling and data assimilation frameworks to integrate extremely large satellite- and ground-based observations with advanced land surface models to produce continuous high-resolution fields of land surface states and fluxes. The resulting fields are extremely useful for drought and flood assessment, agricultural planning, disaster management, weather and climate forecasting, water resources assessment, and the like. We envisioned transforming the LIS modeling system into a scientific cloud computing-aware web and data service that would allow clients to easily setup and configure for use in addressing large water management issues. The focus of this Phase 1 project was to determine the scientific, technical, commercial merit and feasibility of the proposed LIS-cloud innovations that are currently barriers to broad LIS applicability. We (a) quantified the barriers to broad LIS utility and commercialization (high performance computing, big data, user interface, and licensing issues); (b) designed the proposed LIS-cloud web service, model-data interface, database services, and user interfaces; (c) constructed a prototype LIS user interface including abstractions for simulation control, visualization, and data interaction, (d) used the prototype to conduct a market analysis and survey to determine potential market size and competition, (e) identified LIS software licensing and copyright limitations and developed solutions, and (f) developed a business plan for development and marketing of the LIS-cloud innovation. While some significant feasibility issues were found in the LIS licensing, overall a high degree of LIS-cloud technical feasibility was found.

  6. Comparing the architecture of Grid Computing and Cloud Computing systems

    Directory of Open Access Journals (Sweden)

    Abdollah Doavi

    2015-09-01

    Full Text Available Grid Computing or computational connected networks is a new network model that allows the possibility of massive computational operations using the connected resources, in fact, it is a new generation of distributed networks. Grid architecture is recommended because the widespread nature of the Internet makes an exciting environment called 'Grid' to create a scalable system with high-performance, generalized and secure. Then the central architecture called to this goal is a firmware named GridOS. The term 'cloud computing' means the development and deployment of Internet –based computing technology. This is a style of computing in an environment where IT-related capabilities offered as a service or users services. And it allows him/her to have access to technology-based services on the Internet; without the user having the specific information about this technology or (s he wants to take control of the IT infrastructure supported by him/her. In the paper, general explanations are given about the systems Grid and Cloud. Then their provided components and services are checked by these systems and their security.

  7. A Swarm Intelligence Based Model for Mobile Cloud Computing

    Directory of Open Access Journals (Sweden)

    Ahmed S. Salama

    2015-01-01

    Full Text Available Mobile Computing (MC provides multi services and a lot of advantages for millions of users across the world over the internet. Millions of business customers have leveraged cloud computing services through mobile devices to get what is called Mobile Cloud Computing (MCC. MCC aims at using cloud computing techniques for storage and processing of data on mobile devices, thereby reducing their limitations. This paper proposes architecture for a Swarm Intelligence Based Mobile Cloud Computing Model (SIBMCCM. A model that uses a proposed Parallel Particle Swarm Optimization (PPSO algorithm to enhance the access time for the mobile cloud computing services which support different E Commerce models and to better secure the communication through the mobile cloud and the mobile commerce transactions.

  8. Establishing a Cloud Computing Success Model for Hospitals in Taiwan

    Directory of Open Access Journals (Sweden)

    Jiunn-Woei Lian PhD

    2017-01-01

    Full Text Available The purpose of this study is to understand the critical quality-related factors that affect cloud computing success of hospitals in Taiwan. In this study, private cloud computing is the major research target. The chief information officers participated in a questionnaire survey. The results indicate that the integration of trust into the information systems success model will have acceptable explanatory power to understand cloud computing success in the hospital. Moreover, information quality and system quality directly affect cloud computing satisfaction, whereas service quality indirectly affects the satisfaction through trust. In other words, trust serves as the mediator between service quality and satisfaction. This cloud computing success model will help hospitals evaluate or achieve success after adopting private cloud computing health care services.

  9. Establishing a Cloud Computing Success Model for Hospitals in Taiwan.

    Science.gov (United States)

    Lian, Jiunn-Woei

    2017-01-01

    The purpose of this study is to understand the critical quality-related factors that affect cloud computing success of hospitals in Taiwan. In this study, private cloud computing is the major research target. The chief information officers participated in a questionnaire survey. The results indicate that the integration of trust into the information systems success model will have acceptable explanatory power to understand cloud computing success in the hospital. Moreover, information quality and system quality directly affect cloud computing satisfaction, whereas service quality indirectly affects the satisfaction through trust. In other words, trust serves as the mediator between service quality and satisfaction. This cloud computing success model will help hospitals evaluate or achieve success after adopting private cloud computing health care services.

  10. Cloud Computing – A Unified Approach for Surveillance Issues

    Science.gov (United States)

    Rachana, C. R.; Banu, Reshma, Dr.; Ahammed, G. F. Ali, Dr.; Parameshachari, B. D., Dr.

    2017-08-01

    Cloud computing describes highly scalable resources provided as an external service via the Internet on a basis of pay-per-use. From the economic point of view, the main attractiveness of cloud computing is that users only use what they need, and only pay for what they actually use. Resources are available for access from the cloud at any time, and from any location through networks. Cloud computing is gradually replacing the traditional Information Technology Infrastructure. Securing data is one of the leading concerns and biggest issue for cloud computing. Privacy of information is always a crucial pointespecially when an individual’s personalinformation or sensitive information is beingstored in the organization. It is indeed true that today; cloud authorization systems are notrobust enough. This paper presents a unified approach for analyzing the various security issues and techniques to overcome the challenges in the cloud environment.

  11. Security prospects through cloud computing by adopting multiple clouds

    DEFF Research Database (Denmark)

    Jensen, Meiko; Schwenk, Jörg; Bohli, Jens Matthias

    2011-01-01

    Clouds impose new security challenges, which are amongst the biggest obstacles when considering the usage of cloud services. This triggered a lot of research activities in this direction, resulting in a quantity of proposals targeting the various security threats. Besides the security issues coming...... with the cloud paradigm, it can also provide a new set of unique features which open the path towards novel security approaches, techniques and architectures. This paper initiates this discussion by contributing a concept which achieves security merits by making use of multiple distinct clouds at the same time....

  12. Security prospects through cloud computing by adopting multiple clouds

    DEFF Research Database (Denmark)

    Jensen, Meiko; Schwenk, Jörg; Bohli, Jens Matthias

    2011-01-01

    Clouds impose new security challenges, which are amongst the biggest obstacles when considering the usage of cloud services. This triggered a lot of research activities in this direction, resulting in a quantity of proposals targeting the various security threats. Besides the security issues coming...... with the cloud paradigm, it can also provide a new set of unique features which open the path towards novel security approaches, techniques and architectures. This paper initiates this discussion by contributing a concept which achieves security merits by making use of multiple distinct clouds at the same time...

  13. Cloud Computing Services: Benefits, Risks and Intellectual Property Issues

    Directory of Open Access Journals (Sweden)

    IONELA BĂLŢĂTESCU

    2014-05-01

    Full Text Available Major software players of the global market, such as Google, Amazon and Microsoft are developing cloud computing solutions, providing cloud services on demand: Infrastructure as a Service (IaaS, Platform as a Service (PaaS and Software as a service (SaaS. In software industry and also in ICT services market, cloud computing is playing an increasingly important role. Moreover, the expansion of cloud services indirectly contributed to the development and improvement of other types of services on the market – financial and accounting services, human resources services, educational services etc. – in terms of quality and affordability. Given the fact that cloud computing applications proved to be more affordable for small and medium enterprises (SME, an increasing number of companies in almost all the fields of activity have chosen cloud based solutions, such as Enterprise Resource Management (ERP software and Customer Relationship Management (CRM software. However, cloud computing services involve also some risks concerning privacy, security of data and lack of interoperability between cloud platforms. Patent strategy of certain proprietary software companies leaded to a veritable “patent war” and “patent arm race” endangering the process of standardization in software industry, especially in cloud computing. Intellectual property (IP legislation and court ruling in patent litigations is likely to have a significant impact on the development of cloud computing industry and cloud services.

  14. Experiences with distributed computing for meteorological applications: grid computing and cloud computing

    OpenAIRE

    Oesterle, F.; Ostermann, S; R. Prodan; G. J. Mayr

    2015-01-01

    Experiences with three practical meteorological applications with different characteristics are used to highlight the core computer science aspects and applicability of distributed computing to meteorology. Through presenting cloud and grid computing this paper shows use case scenarios fitting a wide range of meteorological applications from operational to research studies. The paper concludes that distributed computing complements and extends existing high performance comput...

  15. Optimizing Security of Cloud Computing within the DoD

    Science.gov (United States)

    2010-12-01

    governmental use of cloud computing,” Government Information Quarterly , Vol. 27, Issue 3 (July 2010). 34 Frictionless registration processes. Frictionless...cloud computing,” Government Information Quarterly , Vol. 27, Issue 3 (July 2010). 347 Ibid. 348 Ibid. 65 impair availability for all users of...with governmental use of cloud computing,” Government Information Quarterly , Vol. 27, Issue 3 (July 2010) 354 Brunette and Mogull, “Security Guidance

  16. Information Technology Service Management with Cloud Computing Approach to Improve Administration System and Online Learning Performance

    Directory of Open Access Journals (Sweden)

    Wilianto Wilianto

    2015-10-01

    Full Text Available This work discusses the development of information technology service management using cloud computing approach to improve the performance of administration system and online learning at STMIK IBBI Medan, Indonesia. The network topology is modeled and simulated for system administration and online learning. The same network topology is developed in cloud computing using Amazon AWS architecture. The model is designed and modeled using Riverbed Academic Edition Modeler to obtain values of the parameters: delay, load, CPU utilization, and throughput. The simu- lation results are the following. For network topology 1, without cloud computing, the average delay is 54  ms, load 110 000 bits/s, CPU utilization 1.1%, and throughput 440  bits/s.  With  cloud  computing,  the  average  delay  is 45 ms,  load  2 800  bits/s,  CPU  utilization  0.03%,  and throughput 540 bits/s. For network topology 2, without cloud computing, the average delay is 39  ms, load 3 500 bits/s, CPU utilization 0.02%, and throughput database server 1 400 bits/s. With cloud computing, the average delay is 26 ms, load 5 400 bits/s, CPU utilization email server 0.0001%, FTP server 0.001%, HTTP server 0.0002%, throughput email server 85 bits/s, FTP    server 100 bits/sec, and HTTP server 95  bits/s.  Thus,  the  delay, the load, and the CPU utilization decrease; but,  the throughput increases. Information technology service management with cloud computing approach has better performance.

  17. Cloud Computing and Information Technology Resource Cost Management for SMEs

    DEFF Research Database (Denmark)

    Kuada, Eric; Adanu, Kwame; Olesen, Henning

    2013-01-01

    This paper analyzes the decision-making problem confronting SMEs considering the adoption of cloud computing as an alternative to in-house computing services provision. The economics of choosing between in-house computing and a cloud alternative is analyzed by comparing the total economic costs o...

  18. Computational biology in the cloud: methods and new insights from computing at scale.

    Science.gov (United States)

    Kasson, Peter M

    2013-01-01

    The past few years have seen both explosions in the size of biological data sets and the proliferation of new, highly flexible on-demand computing capabilities. The sheer amount of information available from genomic and metagenomic sequencing, high-throughput proteomics, experimental and simulation datasets on molecular structure and dynamics affords an opportunity for greatly expanded insight, but it creates new challenges of scale for computation, storage, and interpretation of petascale data. Cloud computing resources have the potential to help solve these problems by offering a utility model of computing and storage: near-unlimited capacity, the ability to burst usage, and cheap and flexible payment models. Effective use of cloud computing on large biological datasets requires dealing with non-trivial problems of scale and robustness, since performance-limiting factors can change substantially when a dataset grows by a factor of 10,000 or more. New computing paradigms are thus often needed. The use of cloud platforms also creates new opportunities to share data, reduce duplication, and to provide easy reproducibility by making the datasets and computational methods easily available.

  19. Service Level Agreement (SLA) in Utility Computing Systems

    CERN Document Server

    Wu, Linlin

    2010-01-01

    In recent years, extensive research has been conducted in the area of Service Level Agreement (SLA) for utility computing systems. An SLA is a formal contract used to guarantee that consumers' service quality expectation can be achieved. In utility computing systems, the level of customer satisfaction is crucial, making SLAs significantly important in these environments. Fundamental issue is the management of SLAs, including SLA autonomy management or trade off among multiple Quality of Service (QoS) parameters. Many SLA languages and frameworks have been developed as solutions; however, there is no overall classification for these extensive works. Therefore, the aim of this chapter is to present a comprehensive survey of how SLAs are created, managed and used in utility computing environment. We discuss existing use cases from Grid and Cloud computing systems to identify the level of SLA realization in state-of-art systems and emerging challenges for future research.

  20. Cloud Computing and Agricultural Development of China: Theory and Practice

    Directory of Open Access Journals (Sweden)

    Yanxin Zhu

    2013-01-01

    Full Text Available Cloud computing technology has brought great opportunities to the development of China's agriculture; however it is also facing unprecedented challenges. According to the advantages of cloud computing, based on the status quo of China's agricultural development, the paper first discussed the impacts of cloud computing for China's agricultural development; and analyzed the field and the prospects of its possible applications in agriculture; then presented the application and promotion of cloud computing technology is a long-term system works, not only need to build the data center, integrate resources, enhance service capabilities, and also need to make information security.

  1. An Overview of the Security Concerns in Enterprise Cloud Computing

    CERN Document Server

    Bisong, Anthony; Rahman, M; 10.5121/ijnsa.2011.3103

    2011-01-01

    Deploying cloud computing in an enterprise infrastructure bring significant security concerns. Successful implementation of cloud computing in an enterprise requires proper planning and understanding of emerging risks, threats, vulnerabilities, and possible countermeasures. We believe enterprise should analyze the company/organization security risks, threats, and available countermeasures before adopting this technology. In this paper, we have discussed security risks and concerns in cloud computing and enlightened steps that an enterprise can take to reduce security risks and protect their resources. We have also explained cloud computing strengths/benefits, weaknesses, and applicable areas in information risk management.

  2. An Overview Of The Security Concerns In Enterprise Cloud Computing

    Directory of Open Access Journals (Sweden)

    Anthony Bisong

    2011-01-01

    Full Text Available Deploying cloud computing in an enterprise infrastructure bring significant security concerns.Successful implementation of cloud computing in an enterprise requires proper planning andunderstanding of emerging risks, threats, vulnerabilities, and possible countermeasures. We believe enterprise should analyze the company/organization security risks, threats, and available countermeasures before adopting this technology. In this paper, we have discussed security risks and concerns in cloud computing and enlightened steps that an enterprise can take to reduce security risksand protect their resources. We have also explained cloud computing strengths/benefits, weaknesses, and applicable areas in information risk management.

  3. X.509 Authentication Services to Enhance the Data Security in Cloud Computing

    OpenAIRE

    Surbhi Chauhan; Kamal Kant; Arjun Singh

    2012-01-01

    This paper represents a method to build a Cloud Security by giving concept of X.509 authentication services. We are discussing theory of cloud computing, feature of cloud computing and cloud security .We proposed a X.509 format to enhances data security in cloud (Public). Cloud computing is a new computational paradigm that offers an innovative business model for organization.

  4. MAINS: MULTI-AGENT INTELLIGENT SERVICE ARCHITECTURE FOR CLOUD COMPUTING

    Directory of Open Access Journals (Sweden)

    T. Joshva Devadas

    2014-04-01

    Full Text Available Computing has been transformed to a model having commoditized services. These services are modeled similar to the utility services water and electricity. The Internet has been stunningly successful over the course of past three decades in supporting multitude of distributed applications and a wide variety of network technologies. However, its popularity has become the biggest impediment to its further growth with the handheld devices mobile and laptops. Agents are intelligent software system that works on behalf of others. Agents are incorporated in many innovative applications in order to improve the performance of the system. Agent uses its possessed knowledge to react with the system and helps to improve the performance. Agents are introduced in the cloud computing is to minimize the response time when similar request is raised from an end user in the globe. In this paper, we have introduced a Multi Agent Intelligent system (MAINS prior to cloud service models and it was tested using sample dataset. Performance of the MAINS layer was analyzed in three aspects and the outcome of the analysis proves that MAINS Layer provides a flexible model to create cloud applications and deploying them in variety of applications.

  5. 'Cloud computing' and clinical trials: report from an ECRIN workshop.

    Science.gov (United States)

    Ohmann, Christian; Canham, Steve; Danielyan, Edgar; Robertshaw, Steve; Legré, Yannick; Clivio, Luca; Demotes, Jacques

    2015-07-29

    Growing use of cloud computing in clinical trials prompted the European Clinical Research Infrastructures Network, a European non-profit organisation established to support multinational clinical research, to organise a one-day workshop on the topic to clarify potential benefits and risks. The issues that arose in that workshop are summarised and include the following: the nature of cloud computing and the cloud computing industry; the risks in using cloud computing services now; the lack of explicit guidance on this subject, both generally and with reference to clinical trials; and some possible ways of reducing risks. There was particular interest in developing and using a European 'community cloud' specifically for academic clinical trial data. It was recognised that the day-long workshop was only the start of an ongoing process. Future discussion needs to include clarification of trial-specific regulatory requirements for cloud computing and involve representatives from the relevant regulatory bodies.

  6. A survey on top security threats in cloud computing

    Directory of Open Access Journals (Sweden)

    Muhammad Kazim

    2015-03-01

    Full Text Available Cloud computing enables the sharing of resources such as storage, network, applications and software through internet. Cloud users can lease multiple resources according to their requirements, and pay only for the services they use. However, despite all cloud benefits there are many security concerns related to hardware, virtualization, network, data and service providers that act as a significant barrier in the adoption of cloud in the IT industry. In this paper, we survey the top security concerns related to cloud computing. For each of these security threats we describe, i how it can be used to exploit cloud components and its effect on cloud entities such as providers and users, and ii the security solutions that must be taken to prevent these threats. These solutions include the security techniques from existing literature as well as the best security practices that must be followed by cloud administrators.

  7. Continued rise of the cloud advances and trends in cloud computing

    CERN Document Server

    Mahmood, Zaigham

    2014-01-01

    Cloud computing is no-longer a novel paradigm, but instead an increasingly robust and established technology, yet new developments continue to emerge in this area. Continued Rise of the Cloud: Advances and Trends in Cloud Computing captures the state of the art in cloud technologies, infrastructures, and service delivery and deployment models. The book provides guidance and case studies on the development of cloud-based services and infrastructures from an international selection of expert researchers and practitioners. A careful analysis is provided of relevant theoretical frameworks, prac

  8. Cloud Computing for the Grid: GridControl: A Software Platform to Support the Smart Grid

    Energy Technology Data Exchange (ETDEWEB)

    None

    2012-02-08

    GENI Project: Cornell University is creating a new software platform for grid operators called GridControl that will utilize cloud computing to more efficiently control the grid. In a cloud computing system, there are minimal hardware and software demands on users. The user can tap into a network of computers that is housed elsewhere (the cloud) and the network runs computer applications for the user. The user only needs interface software to access all of the cloud’s data resources, which can be as simple as a web browser. Cloud computing can reduce costs, facilitate innovation through sharing, empower users, and improve the overall reliability of a dispersed system. Cornell’s GridControl will focus on 4 elements: delivering the state of the grid to users quickly and reliably; building networked, scalable grid-control software; tailoring services to emerging smart grid uses; and simulating smart grid behavior under various conditions.

  9. Homomorphic encryption experiments on IBM's cloud quantum computing platform

    Science.gov (United States)

    Huang, He-Liang; Zhao, You-Wei; Li, Tan; Li, Feng-Guang; Du, Yu-Tao; Fu, Xiang-Qun; Zhang, Shuo; Wang, Xiang; Bao, Wan-Su

    2017-02-01

    Quantum computing has undergone rapid development in recent years. Owing to limitations on scalability, personal quantum computers still seem slightly unrealistic in the near future. The first practical quantum computer for ordinary users is likely to be on the cloud. However, the adoption of cloud computing is possible only if security is ensured. Homomorphic encryption is a cryptographic protocol that allows computation to be performed on encrypted data without decrypting them, so it is well suited to cloud computing. Here, we first applied homomorphic encryption on IBM's cloud quantum computer platform. In our experiments, we successfully implemented a quantum algorithm for linear equations while protecting our privacy. This demonstration opens a feasible path to the next stage of development of cloud quantum information technology.

  10. Identifying Key Challenges in Performance Issues in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Ashraf Zia

    2012-10-01

    Full Text Available Cloud computing is a harbinger to a newer era in the field of computing where distributed and centralized services are used in a unique way. In cloud computing, the computational resources of different vendors and IT services providers are managed for providing an enormous and a scalable computing services platform that offers efficient data processing coupled with better QoS at a lower cost. The on-demand dynamic and scalable resource allocation is the main motif behind the development and deployment of cloud computing. The potential growth in this area and the presence of some dominant organizations with abundant resources (like Google, Amazon, Salesforce, Rackspace, Azure, GoGrid, make the field of cloud computing more fascinating. All the cloud computing processes need to be in unanimity to dole out better QoS i.e., to provide better software functionality, meet the tenant’s requirements for their desired processing power and to exploit elevated bandwidth.. However, several technical and functional e.g., pervasive access to resources, dynamic discovery, on the fly access and composition of resources pose serious challenges for cloud computing. In this study, the performance issues in cloud computing are discussed. A number of schemes pertaining to QoS issues are critically analyzed to point out their strengths and weaknesses. Some of the performance parameters at the three basic layers of the cloud — Infrastructure as a Service, Platform as a Service and Software as a Service — are also discussed in this paper.

  11. Fog Computing to protect real and sensitivity information in Cloud

    Directory of Open Access Journals (Sweden)

    Thogaricheti Ashwini

    2015-03-01

    Full Text Available Cloud computing can simply be described as computing based on the internet. In the past, people depended on physical computer storage or servers to run their programs. However, with the introduction of cloud computing, people as well as business enterprises can now access their programs through the internet. Due this ease, software companies and other agencies are shifting more towards cloud computing environment. To achieve better operational efficiency in many organizations and small or medium agencies is using Cloud environment for managing their data. It is a combination of a number of computing strategies and concepts such as Service Oriented Architecture (SOA, virtualization and other which rely on the Internet. Cloud Computing provides an easy way for accessing, managing and computation of user data, but it also has some severe security risks. Very common risks now days are data theft attacks. Data theft considered one of the top threats to cloud computing by the Cloud Security Alliance is. To deal with such cases and malicious intruders there are some techniques which are used to secure user data. A new technology called “Fog computing” is gaining attention of the cloud users nowadays. Fog computing improves the Quality of service and also reduces latency. According to Cisco, due to its wide geographical distribution the Fog computing is well suited for real time analytics and big data.Fog computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users.

  12. Privacy and Data Security under Cloud Computing Arrangements: The Legal Framework and Practical Do's and Don'ts

    Science.gov (United States)

    Buckman, Joel; Gold, Stephanie

    2012-01-01

    This article outlines privacy and data security compliance issues facing postsecondary education institutions when they utilize cloud computing and concludes with a practical list of do's and dont's. Cloud computing does not change an institution's privacy and data security obligations. It does involve reliance on a third party, which requires an…

  13. Privacy and Data Security under Cloud Computing Arrangements: The Legal Framework and Practical Do's and Don'ts

    Science.gov (United States)

    Buckman, Joel; Gold, Stephanie

    2012-01-01

    This article outlines privacy and data security compliance issues facing postsecondary education institutions when they utilize cloud computing and concludes with a practical list of do's and dont's. Cloud computing does not change an institution's privacy and data security obligations. It does involve reliance on a third party, which requires an…

  14. Mission critical cloud computing in a week

    Science.gov (United States)

    George, B.; Shams, K.; Knight, D.; Kinney, J.

    NASA's vision is to “ reach for new heights and reveal the unknown so that what we do and learn will benefit all humankind.” While our missions provide large volumes of unique and invaluable data to the scientific community, they also serve to inspire and educate the next generation of engineers and scientists. One critical aspect of “ benefiting all humankind” is to make our missions as visible and accessible as possible to facilitate the transfer of scientific knowledge to the public. The recent successful landing of the Curiosity rover on Mars exemplified this vision: we shared the landing event via live video streaming and web experiences with millions of people around the world. The video stream on Curiosity's website was delivered by a highly scalable stack of computing resources in the cloud to cache and distribute the video stream to our viewers. While this work was done in the context of public outreach, it has extensive implications for the development of mission critical, highly available, and elastic applications in the cloud for a diverse set of use cases across NASA.

  15. Market-Oriented Cloud Computing and the Cloudbus Toolkit

    CERN Document Server

    Buyya, Rajkumar; Vecchiola, Christian

    2012-01-01

    Cloud computing has penetrated the Information Technology industry deep enough to influence major companies to adopt it into their mainstream business. A strong thrust on the use of virtualization technology to realize Infrastructure-as-a-Service (IaaS) has led enterprises to leverage subscription-oriented computing capabilities of public Clouds for hosting their application services. In parallel, research in academia has been investigating transversal aspects such as security, software frameworks, quality of service, and standardization. We believe that the complete realization of the Cloud computing vision will lead to the introduction of a virtual market where Cloud brokers, on behalf of end users, are in charge of selecting and composing the services advertised by different Cloud vendors. In order to make this happen, existing solutions and technologies have to be redesigned and extended from a market-oriented perspective and integrated together, giving rise to what we term Market-Oriented Cloud Computing...

  16. Implementasi Cloud Computing Menggunakan Openvz dalam Perkuliahan Praktikum Sistem Operasi

    Directory of Open Access Journals (Sweden)

    Muhammad Arif Fadhly Ridha

    2016-03-01

    Full Text Available Cloud computing is the latest technology that are built using virtualization service that makes server becomes abstract and can be accessed from anywhere. One of the virtualization technology that can be used to build a cloud network is OpenVZ on Linux operating system. Currently the lab lectures operating systems generally use desktop virtualization software such as VMWare or Vritualbox that often cause problems such as the threat of viruses, loss of data and configuration. Therefore, a centralized system using cloud computing and virtualization designed and implemented so that such problems can be avoided. Cloud Computing systems are made using OpenVZ so that each student will have a virtual server account on the cloud system. Results from the research showed that the use of Cloud Computing in the lab can be applied to operating system course and can solve error plobems than using Virtual Machine Application.

  17. Proposed congestion control method for cloud computing environments

    CERN Document Server

    Kuribayashi, Shin-ichi

    2012-01-01

    As cloud computing services rapidly expand their customer base, it has become important to share cloud resources, so as to provide them economically. In cloud computing services, multiple types of resources, such as processing ability, bandwidth and storage, need to be allocated simultaneously. If there is a surge of requests, a competition will arise between these requests for the use of cloud resources. This leads to the disruption of the service and it is necessary to consider a measure to avoid or relieve congestion of cloud computing environments. This paper proposes a new congestion control method for cloud computing environments which reduces the size of required resource for congested resource type instead of restricting all service requests as in the existing networks. Next, this paper proposes the user service specifications for the proposed congestion control method, and clarifies the algorithm to decide the optimal size of required resource to be reduced, based on the load offered to the system. I...

  18. Cloud Computing for Network Security Intrusion Detection System

    Directory of Open Access Journals (Sweden)

    Jin Yang

    2013-01-01

    Full Text Available In recent years, as a new distributed computing model, cloud computing has developed rapidly and become the focus of academia and industry. But now the security issue of cloud computing is a main critical problem of most enterprise customers faced. In the current network environment, that relying on a single terminal to check the Trojan virus is considered increasingly unreliable. This paper analyzes the characteristics of current cloud computing, and then proposes a comprehensive real-time network risk evaluation model for cloud computing based on the correspondence between the artificial immune system antibody and pathogen invasion intensity. The paper also combines assets evaluation system and network integration evaluation system, considering from the application layer, the host layer, network layer may be factors that affect the network risks. The experimental results show that this model improves the ability of intrusion detection and can support for the security of current cloud computing.

  19. Current Cloud Computing Review and Cost Optimization by DERSP

    Directory of Open Access Journals (Sweden)

    M. Gomathy

    2014-03-01

    Full Text Available Cloud computing promises to deliver cost saving through the “pay as you use” paradigm. The focus is on adding computing resources when needed and releasing them when the need is serviced. Since cloud computing relies on providing computing power through multiple interconnected computers, there is a paradigm shift from one large machine to a combination of multiple smaller machine instances. In this paper, we review the current cloud computing scenario and provide a set of recommendations that can be used for designing custom applications suited for cloud deployment. We also present a comparative study on the change in cost incurred while using different combinations of machine instances for running an application on cloud; and derive the case for optimal cost

  20. A Compendium Over Cloud Computing Cryptographic Algorithms and Security Issues

    Directory of Open Access Journals (Sweden)

    Neha Mishra

    2015-01-01

    Full Text Available Cloud computing is an emerging and revolutionary approach towards the computing and becoming more risk prone than ever before. It is an evolutionary approach of using resources and services on demand and as per need of consumers. Cloud computing providing a platform rose on the Internet for usage of IT services and flexible infrastructure to the consumers and business. Deployment and management of services or resources are maintained by the third party. Whereas there are innumerable advantages to approaching the cloud computing, it also contains various issues such as confidentiality, Integrity, Authenticity and Privacy. One of the prominent barrier to adopt the cloud computing is security. This paper comprises the elaborated study on various security issues allied to cloud computing are presented by consolidating literature reviews on cryptographic algorithms used for data security.

  1. Above-Campus Services: Shaping the Promise of Cloud Computing for Higher Education

    Science.gov (United States)

    Wheeler, Brad; Waggener, Shelton

    2009-01-01

    The concept of today's cloud computing may date back to 1961, when John McCarthy, retired Stanford professor and Turing Award winner, delivered a speech at MIT's Centennial. In that speech, he predicted that in the future, computing would become a "public utility." Yet for colleges and universities, the recent growth of pervasive, very high speed…

  2. Security issues occur in Cloud Computing and there Solutions

    Directory of Open Access Journals (Sweden)

    Karamjit Singh

    2012-05-01

    Full Text Available Cloud computing is a recent advancement wherein IT infrastructure and applications are provided as “services” to end-users under a usage-based payment model. Many organizations, such as Google, Amazon, IBM and many others, accelerate their paces in developing Cloud computing systems and providing services to user with best affords but there phases many difficulties regarding securityproblem and users also afraid toward security of own data i.e. whether cloud providers able to maintain data integrity ,confidentiality as well as authentication. To resolve the security issues in cloud computing, this paper presents various solutions for different issues.

  3. Cloud computing and digital media fundamentals, techniques, and applications

    CERN Document Server

    Li, Kuan-Ching; Shih, Timothy K

    2014-01-01

    Cloud Computing and Digital Media: Fundamentals, Techniques, and Applications presents the fundamentals of cloud and media infrastructure, novel technologies that integrate digital media with cloud computing, and real-world applications that exemplify the potential of cloud computing for next-generation digital media. It brings together technologies for media/data communication, elastic media/data storage, security, authentication, cross-network media/data fusion, interdevice media interaction/reaction, data centers, PaaS, SaaS, and more.The book covers resource optimization for multimedia clo

  4. A Logistics Distribution Plan Based on Cloud Computing

    Directory of Open Access Journals (Sweden)

    Zhou Feng

    2013-12-01

    Full Text Available Aiming at the problems of lowing informatization level and degree of specialization, high consumption and low efficiency in logistics and distribution industry, this paper analyzes the characteristics of cloud computing and the actual needs of enterprise logistics. On this basis, depth study of the logistics and distribution needs of the cloud computing architecture, depth study of the cloud computing architecture in the logistics and distribution needs, and then propose a cloud-based modern logistics solutions, for the development of modern logistics provides a new operating mode

  5. Scheduler Vulnerabilities and Attacks in Cloud Computing

    CERN Document Server

    Zhou, Fangfei; Desnoyers, Peter; Sundaram, Ravi

    2011-01-01

    In hardware virtualization a hypervisor provides multiple Virtual Machines (VMs) on a single physical system, each executing a separate operating system instance. The hypervisor schedules execution of these VMs much as the scheduler in an operating system does, balancing factors such as fairness and I/O performance. As in an operating system, the scheduler may be vulnerable to malicious behavior on the part of users seeking to deny service to others or maximize their own resource usage. Recently, publically available cloud computing services such as Amazon EC2 have used virtualization to provide customers with virtual machines running on the provider's hardware, typically charging by wall clock time rather than resources consumed. Under this business model, manipulation of the scheduler may allow theft of service at the expense of other customers, rather than merely reallocating resources within the same administrative domain. We describe a flaw in the Xen scheduler allowing virtual machines to consume almost...

  6. Epilepsy analytic system with cloud computing.

    Science.gov (United States)

    Shen, Chia-Ping; Zhou, Weizhi; Lin, Feng-Seng; Sung, Hsiao-Ya; Lam, Yan-Yu; Chen, Wei; Lin, Jeng-Wei; Pan, Ming-Kai; Chiu, Ming-Jang; Lai, Feipei

    2013-01-01

    Biomedical data analytic system has played an important role in doing the clinical diagnosis for several decades. Today, it is an emerging research area of analyzing these big data to make decision support for physicians. This paper presents a parallelized web-based tool with cloud computing service architecture to analyze the epilepsy. There are many modern analytic functions which are wavelet transform, genetic algorithm (GA), and support vector machine (SVM) cascaded in the system. To demonstrate the effectiveness of the system, it has been verified by two kinds of electroencephalography (EEG) data, which are short term EEG and long term EEG. The results reveal that our approach achieves the total classification accuracy higher than 90%. In addition, the entire training time accelerate about 4.66 times and prediction time is also meet requirements in real time.

  7. Management of Virtual Machine as an Energy Conservation in Private Cloud Computing System

    Directory of Open Access Journals (Sweden)

    Fauzi Akhmad

    2016-01-01

    Full Text Available Cloud computing is a service model that is packaged in a base computing resources that can be accessed through the Internet on demand and placed in the data center. Data center architecture in cloud computing environments are heterogeneous and distributed, composed of a cluster of network servers with different capacity computing resources in different physical servers. The problems on the demand and availability of cloud services can be solved by fluctuating data center cloud through abstraction with virtualization technology. Virtual machine (VM is a representation of the availability of computing resources that can be dynamically allocated and reallocated on demand. In this study the consolidation of VM as energy conservation in Private Cloud Computing Systems with the target of process optimization selection policy and migration of the VM on the procedure consolidation. VM environment cloud data center to consider hosting a type of service a particular application at the instance VM requires a different level of computing resources. The results of the use of computing resources on a VM that is not balanced in physical servers can be reduced by using a live VM migration to achieve workload balancing. A practical approach used in developing OpenStack-based cloud computing environment by integrating Cloud VM and VM Placement selection procedure using OpenStack Neat VM consolidation. Following the value of CPU Time used as a fill to get the average value in MHz CPU utilization within a specific time period. The average value of a VM’s CPU utilization in getting from the current CPU_time reduced by CPU_time from the previous data retrieval multiplied by the maximum frequency of the CPU. The calculation result is divided by the making time CPU_time when it is reduced to the previous taking time CPU_time multiplied by milliseconds.

  8. Integrating Cloud-Computing-Specific Model into Aircraft Design

    Science.gov (United States)

    Zhimin, Tian; Qi, Lin; Guangwen, Yang

    Cloud Computing is becoming increasingly relevant, as it will enable companies involved in spreading this technology to open the door to Web 3.0. In the paper, the new categories of services introduced will slowly replace many types of computational resources currently used. In this perspective, grid computing, the basic element for the large scale supply of cloud services, will play a fundamental role in defining how those services will be provided. The paper tries to integrate cloud computing specific model into aircraft design. This work has acquired good results in sharing licenses of large scale and expensive software, such as CFD (Computational Fluid Dynamics), UG, CATIA, and so on.

  9. Cloud Computing Benefits for E-learning Solutions

    Directory of Open Access Journals (Sweden)

    Paul POCATILU

    2010-01-01

    Full Text Available E-learning systems usually require many hardware and software resources. There are many educational institutions that cannot afford such investments, and cloud computing is the best solution. This paper presents the impact on using cloud computing for e-learning solutions.

  10. Cloud computing og den strafferetlige beskyttelse af data

    DEFF Research Database (Denmark)

    Mathiasen, Peter Dueholm

    2013-01-01

    Cloud computing er blevet en populær metode for bl.a. at opbevare data. Muligheden for eksempelvis at placere forretningskritiske data på teknisk udstyr, som ejes af den udbyder, der driver cloud computing tjenesten, gør det aktuelt at forholde sig til, om straffeloven i sådanne tilfælde yder et...

  11. Cloud Computing for Teaching Practice: A New Design?

    Science.gov (United States)

    Saadatdoost, Robab; Sim, Alex Tze Hiang; Jafarkarimi, Hosein; Hee, Jee Mei; Saadatdoost, Leila

    2014-01-01

    Recently researchers have shown an increased interest in cloud computing technology. It is becoming increasingly difficult to ignore cloud computing technology in education context. However rapid changes in information technology are having a serious effect on teaching framework designs. So far, however, there has been little discussion about…

  12. Information Security in the Age of Cloud Computing

    Science.gov (United States)

    Sims, J. Eric

    2012-01-01

    Information security has been a particularly hot topic since the enhanced internal control requirements of Sarbanes-Oxley (SOX) were introduced in 2002. At about this same time, cloud computing started its explosive growth. Outsourcing of mission-critical functions has always been a gamble for managers, but the advantages of cloud computing are…

  13. A Semantic Based Policy Management Framework for Cloud Computing Environments

    Science.gov (United States)

    Takabi, Hassan

    2013-01-01

    Cloud computing paradigm has gained tremendous momentum and generated intensive interest. Although security issues are delaying its fast adoption, cloud computing is an unstoppable force and we need to provide security mechanisms to ensure its secure adoption. In this dissertation, we mainly focus on issues related to policy management and access…

  14. Encrypted IT Auditing and Log Management on Cloud Computing

    Directory of Open Access Journals (Sweden)

    Rajiv R Bhandari

    2011-09-01

    Full Text Available In this paper we are conducting the investigation studies over the IT auditing for assuring the security for cloud computing. During this investigation, we are implementing working of IT auditing mechanism over the cloud computing framework in order to assure the desired level of security. In the IT auditing mechanism, the concept of checklists are prepared for the cloud computing application and their lifecycle. Those checklists are prepared on the basis of models of cloud computing such as deployment models and services models. With this paper our main concern is to present the cloud computing implications for large enterprise applications like CRM/ERP and achieving the desired level of security with design and implementation of IT auditing technique. As results from practical investigation of IT auditing over the cloud computing framework, we claim that IT auditing assuring the desired level of security, regulations, compliance for the enterprise applications like CRM and ERP. Another problem in cloud computing is that huge amount of logs make the system administarator hard to analyse them.In this paper we proposed the method that enables cloud computing system to achive both effectiveness of system resource and strength of security service without trade-off between them.

  15. Cloud Computing for Teaching Practice: A New Design?

    Science.gov (United States)

    Saadatdoost, Robab; Sim, Alex Tze Hiang; Jafarkarimi, Hosein; Hee, Jee Mei; Saadatdoost, Leila

    2014-01-01

    Recently researchers have shown an increased interest in cloud computing technology. It is becoming increasingly difficult to ignore cloud computing technology in education context. However rapid changes in information technology are having a serious effect on teaching framework designs. So far, however, there has been little discussion about…

  16. Information Security in the Age of Cloud Computing

    Science.gov (United States)

    Sims, J. Eric

    2012-01-01

    Information security has been a particularly hot topic since the enhanced internal control requirements of Sarbanes-Oxley (SOX) were introduced in 2002. At about this same time, cloud computing started its explosive growth. Outsourcing of mission-critical functions has always been a gamble for managers, but the advantages of cloud computing are…

  17. Cloud computing og den strafferetlige beskyttelse af data

    DEFF Research Database (Denmark)

    Mathiasen, Peter Dueholm

    2013-01-01

    Cloud computing er blevet en populær metode for bl.a. at opbevare data. Muligheden for eksempelvis at placere forretningskritiske data på teknisk udstyr, som ejes af den udbyder, der driver cloud computing tjenesten, gør det aktuelt at forholde sig til, om straffeloven i sådanne tilfælde yder et...

  18. A Semantic Based Policy Management Framework for Cloud Computing Environments

    Science.gov (United States)

    Takabi, Hassan

    2013-01-01

    Cloud computing paradigm has gained tremendous momentum and generated intensive interest. Although security issues are delaying its fast adoption, cloud computing is an unstoppable force and we need to provide security mechanisms to ensure its secure adoption. In this dissertation, we mainly focus on issues related to policy management and access…

  19. SOFTWARE AGENT AND CLOUD COMPUTING: A BRIEF REVIEW

    Directory of Open Access Journals (Sweden)

    Firas D. Ahmed

    2016-02-01

    Full Text Available The merging of interests between Cloud applications which necessary require an intelligent software agent with elastic, dynamic, with independent behavior ability and multi-agent systems that need consistent distributed infrastructures can be resulted with new effective applications and systems. Cloud computing services offered by using large-scale infrastructures with elastic services and high-performance capability since these resources could be adjusted to end user and application needs. Cloud systems and infrastructures are offered by a service-oriented interface that provides computing resources using X-as-a-service model to introduce cloud services on the pay-per-use model. Agent-based system is significant for the improving the use of software agents for boosting cloud service composition, service discovery, negotiation mechanism and several domains. Integrating these two computing paradigms enables cloud-computing systems to become more elastic, autonomic, and intelligent service's capability. Meanwhile, scalable systems with high-performance on the cloud are capable of providing MASs with a consistent and large-scale computing infrastructure on which to execute large-scale systems with flexibility. The significant of this paper is introducing and discussing potential benefits of integration multi-agent technology with Cloud computing systems. This reviewing will lead having in attention the aim of developing high-performance and sophisticated applications with intelligent using software agents and Cloud paradigm.

  20. A Reputation-Based Identity Management Model for Cloud Computing

    Directory of Open Access Journals (Sweden)

    Lifa Wu

    2015-01-01

    Full Text Available In the field of cloud computing, most research on identity management has concentrated on protecting user data. However, users typically leave a trail when they access cloud services, and the resulting user traceability can potentially lead to the leakage of sensitive user information. Meanwhile, malicious users can do harm to cloud providers through the use of pseudonyms. To solve these problems, we introduce a reputation mechanism and design a reputation-based identity management model for cloud computing. In the model, pseudonyms are generated based on a reputation signature so as to guarantee the untraceability of pseudonyms, and a mechanism that calculates user reputation is proposed, which helps cloud service providers to identify malicious users. Analysis verifies that the model can ensure that users access cloud services anonymously and that cloud providers assess the credibility of users effectively without violating user privacy.

  1. A Novel Approach for Resource Discovery using Random Projection on Cloud Computing Environments

    Directory of Open Access Journals (Sweden)

    M.N.Faruk

    2013-04-01

    Full Text Available Cloud computing offers different type’s utilities to the IT industries. Generally the resources are scattered throughout the clouds. It has to enable the ability to find different resources are available at clouds, This again an important criteria of distributed systems. This paper investigates the problem of locating resources which is multi variant in nature. It also used to locate the relevant dimensions of resources which is avail at the same cloud. It is also addresses the random projection on each cloud and discover the possible resources at each iteration, the outcome of each iteration updated on collision matrix. All the discovered elements are updated at the Management fabric. This paper also describes the feasibility on discovering different types of resources available each cloud.

  2. Applying a cloud computing approach to storage architectures for spacecraft

    Science.gov (United States)

    Baldor, Sue A.; Quiroz, Carlos; Wood, Paul

    As sensor technologies, processor speeds, and memory densities increase, spacecraft command, control, processing, and data storage systems have grown in complexity to take advantage of these improvements and expand the possible missions of spacecraft. Spacecraft systems engineers are increasingly looking for novel ways to address this growth in complexity and mitigate associated risks. Looking to conventional computing, many solutions have been executed to solve both the problem of complexity and heterogeneity in systems. In particular, the cloud-based paradigm provides a solution for distributing applications and storage capabilities across multiple platforms. In this paper, we propose utilizing a cloud-like architecture to provide a scalable mechanism for providing mass storage in spacecraft networks that can be reused on multiple spacecraft systems. By presenting a consistent interface to applications and devices that request data to be stored, complex systems designed by multiple organizations may be more readily integrated. Behind the abstraction, the cloud storage capability would manage wear-leveling, power consumption, and other attributes related to the physical memory devices, critical components in any mass storage solution for spacecraft. Our approach employs SpaceWire networks and SpaceWire-capable devices, although the concept could easily be extended to non-heterogeneous networks consisting of multiple spacecraft and potentially the ground segment.

  3. Big data mining analysis method based on cloud computing

    Science.gov (United States)

    Cai, Qing Qiu; Cui, Hong Gang; Tang, Hao

    2017-08-01

    Information explosion era, large data super-large, discrete and non-(semi) structured features have gone far beyond the traditional data management can carry the scope of the way. With the arrival of the cloud computing era, cloud computing provides a new technical way to analyze the massive data mining, which can effectively solve the problem that the traditional data mining method cannot adapt to massive data mining. This paper introduces the meaning and characteristics of cloud computing, analyzes the advantages of using cloud computing technology to realize data mining, designs the mining algorithm of association rules based on MapReduce parallel processing architecture, and carries out the experimental verification. The algorithm of parallel association rule mining based on cloud computing platform can greatly improve the execution speed of data mining.

  4. An Upper Ontology for Benefits Management of Cloud Computing

    Directory of Open Access Journals (Sweden)

    Richard Greenwell

    2014-12-01

    Full Text Available Benefits Management provides an established approach for decision making and value extraction for IT/IS investments and, can be used to examine cloud computing investments. The motivation for developing an upper ontology for Benefits Management is that the current Benefits Management approaches do not provide a framework for capturing and representing semantic information. There is also a need to capture benefits for cloud computing developments to provide existing and future users of cloud computing with better investment information for decision making. This paper describes the development of an upper ontology to capture greater levels of knowledge from stakeholders and IS professionals in cloud computing procurement and implementation. Complex relationships are established between cloud computing enablers, enabling changes, business changes, benefits and investment objectives

  5. The Geospatial Data Cloud: An Implementation of Applying Cloud Computing in Geosciences

    Directory of Open Access Journals (Sweden)

    Xuezhi Wang

    2014-11-01

    Full Text Available The rapid growth in the volume of remote sensing data and its increasing computational requirements bring huge challenges for researchers as traditional systems cannot adequately satisfy the huge demand for service. Cloud computing has the advantage of high scalability and reliability, which can provide firm technical support. This paper proposes a highly scalable geospatial cloud platform named the Geospatial Data Cloud, which is constructed based on cloud computing. The architecture of the platform is first introduced, and then two subsystems, the cloud-based data management platform and the cloud-based data processing platform, are described.  ––– This paper was presented at the First Scientific Data Conference on Scientific Research, Big Data, and Data Science, organized by CODATA-China and held in Beijing on 24-25 February, 2014.

  6. ABOUT THE SUITABILITY OF CLOUDS IN HIGH-PERFORMANCE COMPUTING

    Directory of Open Access Journals (Sweden)

    Harald Richter

    2016-01-01

    Full Text Available Cloud computing has become the ubiquitous computing and storage paradigm. It is also attractive for scientists, because they do not have to care any more for their own IT infrastructure, but can outsource it to a Cloud Service Provider of their choice. However, for the case of High-Performance Computing (HPC in a cloud, as it is needed in simulations or for Big Data analysis, things are getting more intricate, because HPC codes must stay highly efficient, even when executed by many virtual cores (vCPUs. Older clouds or new standard clouds can fulfil this only under special precautions, which are given in this article. The results can be extrapolated to other cloud OSes than OpenStack and to other codes than OpenFOAM, which were used as examples.

  7. A scoping review of cloud computing in healthcare.

    Science.gov (United States)

    Griebel, Lena; Prokosch, Hans-Ulrich; Köpcke, Felix; Toddenroth, Dennis; Christoph, Jan; Leb, Ines; Engel, Igor; Sedlmayr, Martin

    2015-03-19

    Cloud computing is a recent and fast growing area of development in healthcare. Ubiquitous, on-demand access to virtually endless resources in combination with a pay-per-use model allow for new ways of developing, delivering and using services. Cloud computing is often used in an "OMICS-context", e.g. for computing in genomics, proteomics and molecular medicine, while other field of application still seem to be underrepresented. Thus, the objective of this scoping review was to identify the current state and hot topics in research on cloud computing in healthcare beyond this traditional domain. MEDLINE was searched in July 2013 and in December 2014 for publications containing the terms "cloud computing" and "cloud-based". Each journal and conference article was categorized and summarized independently by two researchers who consolidated their findings. 102 publications have been analyzed and 6 main topics have been found: telemedicine/teleconsultation, medical imaging, public health and patient self-management, hospital management and information systems, therapy, and secondary use of data. Commonly used features are broad network access for sharing and accessing data and rapid elasticity to dynamically adapt to computing demands. Eight articles favor the pay-for-use characteristics of cloud-based services avoiding upfront investments. Nevertheless, while 22 articles present very general potentials of cloud computing in the medical domain and 66 articles describe conceptual or prototypic projects, only 14 articles report from successful implementations. Further, in many articles cloud computing is seen as an analogy to internet-/web-based data sharing and the characteristics of the particular cloud computing approach are unfortunately not really illustrated. Even though cloud computing in healthcare is of growing interest only few successful implementations yet exist and many papers just use the term "cloud" synonymously for "using virtual machines" or "web

  8. EFFICIENT VM LOAD BALANCING ALGORITHM FOR A CLOUD COMPUTING ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    Jasmin James

    2012-09-01

    Full Text Available Cloud computing is a fast growing area in computing research and industry today. With the advancement of the Cloud, there are new possibilities opening up on how applications can be built and how different services can be offered to the end user through Virtualization, on the internet. There are the cloud service providers who provide large scaled computing infrastructure defined on usage, and provide the infrastructure services in a very flexiblemanner which the users can scale up or down at will. The establishment of an effective load balancing algorithm and how to use Cloud computing resources efficiently for effective and efficient cloud computing is one of the Cloud computing service providers’ultimate goals. In this paper firstly analysis of different Virtual Machine (VM load balancing algorithms is done. Secondly, a new VM load balancing algorithm has been proposed and implemented for an IaaS framework in Simulated cloud computing environment; i.e. ‘Weighted Active Monitoring Load Balancing Algorithm’ using CloudSimtools, for the Datacenter to effectively load balance requests between the available virtual machines assigning a weight, in order to achieve better performance parameters such as response time and Data processing time.

  9. ProteoCloud: a full-featured open source proteomics cloud computing pipeline.

    Science.gov (United States)

    Muth, Thilo; Peters, Julian; Blackburn, Jonathan; Rapp, Erdmann; Martens, Lennart

    2013-08-02

    We here present the ProteoCloud pipeline, a freely available, full-featured cloud-based platform to perform computationally intensive, exhaustive searches in a cloud environment using five different peptide identification algorithms. ProteoCloud is entirely open source, and is built around an easy to use and cross-platform software client with a rich graphical user interface. This client allows full control of the number of cloud instances to initiate and of the spectra to assign for identification. It also enables the user to track progress, and to visualize and interpret the results in detail. Source code, binaries and documentation are all available at http://proteocloud.googlecode.com.

  10. Evaluating the Efficacy of the Cloud for Cluster Computation

    Science.gov (United States)

    Knight, David; Shams, Khawaja; Chang, George; Soderstrom, Tom

    2012-01-01

    Computing requirements vary by industry, and it follows that NASA and other research organizations have computing demands that fall outside the mainstream. While cloud computing made rapid inroads for tasks such as powering web applications, performance issues on highly distributed tasks hindered early adoption for scientific computation. One venture to address this problem is Nebula, NASA's homegrown cloud project tasked with delivering science-quality cloud computing resources. However, another industry development is Amazon's high-performance computing (HPC) instances on Elastic Cloud Compute (EC2) that promises improved performance for cluster computation. This paper presents results from a series of benchmarks run on Amazon EC2 and discusses the efficacy of current commercial cloud technology for running scientific applications across a cluster. In particular, a 240-core cluster of cloud instances achieved 2 TFLOPS on High-Performance Linpack (HPL) at 70% of theoretical computational performance. The cluster's local network also demonstrated sub-100 ?s inter-process latency with sustained inter-node throughput in excess of 8 Gbps. Beyond HPL, a real-world Hadoop image processing task from NASA's Lunar Mapping and Modeling Project (LMMP) was run on a 29 instance cluster to process lunar and Martian surface images with sizes on the order of tens of gigapixels. These results demonstrate that while not a rival of dedicated supercomputing clusters, commercial cloud technology is now a feasible option for moderately demanding scientific workloads.

  11. Educational Computer Utilization and Computer Communications.

    Science.gov (United States)

    Singh, Jai P.; Morgan, Robert P.

    As part of an analysis of educational needs and telecommunications requirements for future educational satellite systems, three studies were carried out. 1) The role of the computer in education was examined and both current status and future requirements were analyzed. Trade-offs between remote time sharing and remote batch process were explored…

  12. The Risks of Cloud Computing in Accounting Field and the Solution Offers: The Case of Turkey

    Directory of Open Access Journals (Sweden)

    Serap Özdemir

    2015-03-01

    Full Text Available Cloud is the system that maintains common information sharing among the information devices. It is known that there are always risks and that hundred per cent safety is not available in the environments of information technology. Service providers that operate in accounting sector and utilize the cloud technology are responsible for keeping and preserving the digital financial data that are vitally important for the companies. Service providers need to take all the necessary technical measures, so that the digital data are not damaged, lost and possessed by the malicious third parties. The establishments that provide service for accounting systems by utilizing the cloud computing opportunities in accounting field need to consider the general and co untry-specific risks of cloud computing technology. Therefore, they need to build the necessary technical infrastructure and models in order to run the system flawlessly and to preserve the digital data of the establishments in a secure environment.

  13. A Social Network Approach to Provisioning and Management of Cloud Computing Services for Enterprises

    DEFF Research Database (Denmark)

    Kuada, Eric

    utilize them as and when needed. The OCS network is modelled as a social network of enterprises collaborating strategically in contributing and utilizing cloud services without entering into any business agreements. Such a platform faces several problems. One of such problems is the free riding problem...... been extremely difficult in the past; but with the advent of cloud computing, this problem should be less difficult to solve. Opportunistic Cloud Services (OCS) is about enterprises leveraging cloud computing technologies to contribute spare IT resources to a platform so that others on the platform can......, in which members will want to use services on the platform without ever contributing. Other problems are trust and security management problems on the platform. The feasibility of the development of the OCS management platform has been the focus of this research work. Despite some limitations and major...

  14. SLA-Oriented Resource Provisioning for Cloud Computing: Challenges, Architecture, and Solutions

    CERN Document Server

    Buyya, Rajkumar; Calheiros, Rodrigo N

    2012-01-01

    Cloud computing systems promise to offer subscription-oriented, enterprise-quality computing services to users worldwide. With the increased demand for delivering services to a large number of users, they need to offer differentiated services to users and meet their quality expectations. Existing resource management systems in data centers are yet to support Service Level Agreement (SLA)-oriented resource allocation, and thus need to be enhanced to realize cloud computing and utility computing. In addition, no work has been done to collectively incorporate customer-driven service management, computational risk management, and autonomic resource management into a market-based resource management system to target the rapidly changing enterprise requirements of Cloud computing. This paper presents vision, challenges, and architectural elements of SLA-oriented resource management. The proposed architecture supports integration of marketbased provisioning policies and virtualisation technologies for flexible alloc...

  15. Utilizing GPGPU in Computer Emulation

    Directory of Open Access Journals (Sweden)

    Peter Jakubco

    2012-06-01

    Full Text Available The article deals with the idea of computer emulation using the GPGPU technology in order to get performance improvements. Basic assumptions for using stream processing in computer emulation effectively are discussed and the structure of an emulator, together with the emulation technique are proposed. The emulator structure, in this case, is of distributed nature, so the communication issues are treated too. As an example demonstrating the viability of the proposal, Random Access Machine (RAM emulator is given within the paper.

  16. Software engineering frameworks for the cloud computing paradigm

    CERN Document Server

    Mahmood, Zaigham

    2013-01-01

    This book presents the latest research on Software Engineering Frameworks for the Cloud Computing Paradigm, drawn from an international selection of researchers and practitioners. The book offers both a discussion of relevant software engineering approaches and practical guidance on enterprise-wide software deployment in the cloud environment, together with real-world case studies. Features: presents the state of the art in software engineering approaches for developing cloud-suitable applications; discusses the impact of the cloud computing paradigm on software engineering; offers guidance an

  17. Impact of office productivity cloud computing on energy consumption and greenhouse gas emissions.

    Science.gov (United States)

    Williams, Daniel R; Tang, Yinshan

    2013-05-07

    Cloud computing is usually regarded as being energy efficient and thus emitting less greenhouse gases (GHG) than traditional forms of computing. When the energy consumption of Microsoft's cloud computing Office 365 (O365) and traditional Office 2010 (O2010) software suites were tested and modeled, some cloud services were found to consume more energy than the traditional form. The developed model in this research took into consideration the energy consumption at the three main stages of data transmission; data center, network, and end user device. Comparable products from each suite were selected and activities were defined for each product to represent a different computing type. Microsoft provided highly confidential data for the data center stage, while the networking and user device stages were measured directly. A new measurement and software apportionment approach was defined and utilized allowing the power consumption of cloud services to be directly measured for the user device stage. Results indicated that cloud computing is more energy efficient for Excel and Outlook which consumed less energy and emitted less GHG than the standalone counterpart. The power consumption of the cloud based Outlook (8%) and Excel (17%) was lower than their traditional counterparts. However, the power consumption of the cloud version of Word was 17% higher than its traditional equivalent. A third mixed access method was also measured for Word which emitted 5% more GHG than the traditional version. It is evident that cloud computing may not provide a unified way forward to reduce energy consumption and GHG. Direct conversion from the standalone package into the cloud provision platform can now consider energy and GHG emissions at the software development and cloud service design stage using the methods described in this research.

  18. Cloud Computing – A market Perspective and Research Directions

    Directory of Open Access Journals (Sweden)

    Amol C. Adamuthe

    2015-09-01

    Full Text Available Computational paradigm has been revolving round cloud computing and its offshoots for some time and till we see a breakout resulting in a breakthrough technology driven by advances in microelectronics and material technology. Till we experience a radically efficient technology for computation it is worth juxtaposing the virtues of cloud computing and market‟s longing for offering cost and quality arbitrage to the marketplace. Integration of cloud computing in enterprises has the potential to influence the way business gets carried out by them in the market place. Different reports show that demand for cloud computing products and processes is in an upward growth trajectory. This paper identified the characteristics, drivers and constraints of cloud computing which influence its adaptation and integration in enterprises. We are also examining India specific opportunities and threats of cloud computing tools and cloud driven practices in the context of fierce competition among enterprises to remain competitive in the marketplace by reducing software licensing fees, cost of capital to acquire digital systems and cost of maintenances. New directions in cloud computing are analyzed by using Gartner strategic technologies and trend in research publications. Paper focuses on exploring the research issues which are categorized into technical and business in nature for understanding the evolving fortunes of cloud computing. Number of papers published in IEEE is an indication of the popularity and relevance of the continued research initiatives happening in the area. It is also noticed that that very few researchers are attempting to understand the possibility of remodeling business processes leveraging the new found computational paradigm.

  19. Cloud Computing Adoption Model for Universities to Increase ICT Proficiency

    Directory of Open Access Journals (Sweden)

    Safiya Okai

    2014-08-01

    Full Text Available Universities around the world especially those in developing countries are faced with the problem of delivering the level of information and communications technology (ICT needed to facilitate teaching, learning, research, and development activities ideal in a typical university, which is needed to meet educational needs in-line with advancement in technology and the growing dependence on IT. This is mainly due to the high cost involved in providing and maintaining the needed hardware and software. A technology such as cloud computing that delivers on demand provisioning of IT resources on a pay per use basis can be used to address this problem. Cloud computing promises better delivery of IT services as well as availability whenever and wherever needed at reduced costs with users paying only as much as they consume through the services of cloud service providers. The cloud technology reduces complexity while increasing speed and quality of IT services provided; however, despite these benefits the challenges that come with its adoption have left many sectors especially the higher education skeptical in committing to this technology. This article identifies the reasons for the slow rate of adoption of cloud computing at university level, discusses the challenges faced and proposes a cloud computing adoption model that contains strategic guidelines to overcome the major challenges identified and a roadmap for the successful adoption of cloud computing by universities. The model was tested in one of the universities and found to be both useful and appropriate for adopting cloud computing at university level.

  20. B3: Fuzzy-Based Data Center Load Optimization in Cloud Computing

    Directory of Open Access Journals (Sweden)

    M. Jaiganesh

    2013-01-01

    Full Text Available Cloud computing started a new era in getting variety of information puddles through various internet connections by any connective devices. It provides pay and use method for grasping the services by the clients. Data center is a sophisticated high definition server, which runs applications virtually in cloud computing. It moves the application, services, and data to a large data center. Data center provides more service level, which covers maximum of users. In order to find the overall load efficiency, the utilization service in data center is a definite task. Hence, we propose a novel method to find the efficiency of the data center in cloud computing. The goal is to optimize date center utilization in terms of three big factors—Bandwidth, Memory, and Central Processing Unit (CPU cycle. We constructed a fuzzy expert system model to obtain maximum Data Center Load Efficiency (DCLE in cloud computing environments. The advantage of the proposed system lies in DCLE computing. While computing, it allows regular evaluation of services to any number of clients. This approach indicates that the current cloud needs an order of magnitude in data center management to be used in next generation computing.

  1. High performance computing network for cloud environment using simulators

    CERN Document Server

    Singh, N Ajith

    2012-01-01

    Cloud computing is the next generation computing. Adopting the cloud computing is like signing up new form of a website. The GUI which controls the cloud computing make is directly control the hardware resource and your application. The difficulty part in cloud computing is to deploy in real environment. Its' difficult to know the exact cost and it's requirement until and unless we buy the service not only that whether it will support the existing application which is available on traditional data center or had to design a new application for the cloud computing environment. The security issue, latency, fault tolerance are some parameter which we need to keen care before deploying, all this we only know after deploying but by using simulation we can do the experiment before deploying it to real environment. By simulation we can understand the real environment of cloud computing and then after it successful result we can start deploying your application in cloud computing environment. By using the simulator it...

  2. Energy Optimized Link Selection Algorithm for Mobile Cloud Computing

    Directory of Open Access Journals (Sweden)

    K.Ravindranath

    2015-03-01

    Full Text Available Mobile cloud computing is the revolutionary distributed computing research area which consists of three different domains: cloud computing, wireless networks and mobile computing targeting to improve the task computational capabilities of the mobile devices in order to minimize the energy consumption. Heavy computations can be offloaded to the cloud to decrease energy consumption for the mobile device. In some mobile cloud applications, it has been more energy inefficient to use the cloud compared to the conventional computing conducted in the local device. Despite mobile cloud computing being a reliable idea, still faces several problems for mobile phones such as storage, short battery life and so on. One of the most important concerns for mobile devices is low energy consumption. Different network links has different bandwidths to uplink and downlink task as well as data transmission from mobile to cloud or vice-versa. In this paper, a novel optimal link selection algorithm is proposed to minimize the mobile energy. In the first phase, all available networks are scanned and then signal strength is calculated. All the calculated signals along with network locations are given input to the optimal link selection algorithm. After the execution of link selection algorithm, an optimal network link is selected.

  3. A Study of Cloud Computing in the University Enterprise

    Directory of Open Access Journals (Sweden)

    Adigun A. Adebisi

    2014-06-01

    Full Text Available The demand for computing resources in the university is on the increase on daily basis and the traditional method of acquiring computing resources may no longer meet up with the present demand. This is as a result of high level of researches being carried out by the universities. The 21st century universities are now seen as the centre and base of education, research and development for the society. The university community now has to deal with a large number of people including staff, students and researchers working together on voluminous large amount of data. This actually requires very high computing resources that can only be gotten easily through cloud computing. In this paper, we have taken a close look at exploring the benefits of cloud computing and study the adoption and usage of cloud services in the University Enterprise. We establish a theoretical background to cloud computing and its associated services including rigorous analysis of the latest research on Cloud Computing as an alternative to IT provision, management and security and discuss the benefits of cloud computing in the university enterprise. We also assess the trend of adoption and usage of cloud services in the university enterprise.

  4. Evaluating the Influence of the Client Behavior in Cloud Computing.

    Science.gov (United States)

    Souza Pardo, Mário Henrique; Centurion, Adriana Molina; Franco Eustáquio, Paulo Sérgio; Carlucci Santana, Regina Helena; Bruschi, Sarita Mazzini; Santana, Marcos José

    2016-01-01

    This paper proposes a novel approach for the implementation of simulation scenarios, providing a client entity for cloud computing systems. The client entity allows the creation of scenarios in which the client behavior has an influence on the simulation, making the results more realistic. The proposed client entity is based on several characteristics that affect the performance of a cloud computing system, including different modes of submission and their behavior when the waiting time between requests (think time) is considered. The proposed characterization of the client enables the sending of either individual requests or group of Web services to scenarios where the workload takes the form of bursts. The client entity is included in the CloudSim, a framework for modelling and simulation of cloud computing. Experimental results show the influence of the client behavior on the performance of the services executed in a cloud computing system.

  5. A Weibull distribution accrual failure detector for cloud computing.

    Science.gov (United States)

    Liu, Jiaxi; Wu, Zhibo; Wu, Jin; Dong, Jian; Zhao, Yao; Wen, Dongxin

    2017-01-01

    Failure detectors are used to build high availability distributed systems as the fundamental component. To meet the requirement of a complicated large-scale distributed system, accrual failure detectors that can adapt to multiple applications have been studied extensively. However, several implementations of accrual failure detectors do not adapt well to the cloud service environment. To solve this problem, a new accrual failure detector based on Weibull Distribution, called the Weibull Distribution Failure Detector, has been proposed specifically for cloud computing. It can adapt to the dynamic and unexpected network conditions in cloud computing. The performance of the Weibull Distribution Failure Detector is evaluated and compared based on public classical experiment data and cloud computing experiment data. The results show that the Weibull Distribution Failure Detector has better performance in terms of speed and accuracy in unstable scenarios, especially in cloud computing.

  6. Identification and ranking of the risk factors of cloud computing in State-Owned organizations

    Directory of Open Access Journals (Sweden)

    Noor Mohammad Yaghoubi

    2015-05-01

    Full Text Available Rapid development of processing and storage technologies and the success of the Internet have made computing resources cheaper, more powerful and more available than before. This technological trend has enabled the realization of a new computing model called cloud computing. Recently, the State-Owned organizations have begun to utilize cloud computing architectures, platforms, and applications to deliver services and meet constituents’ needs. Despite all of the advantages and opportunities of cloud computing technology, there are so many risks that State-Owned organizations need to know about before their migration to cloud environment. The purpose of this study is to identify and rank the risks factors of cloud computing in State-Owned organizations by making use of IT experts’ opinion. Firstly, by reviewing key articles, a comprehensive list of risks factors were extracted and classified into two categories: tangible and intangible. Then, six experts were interviewed about these risks and their classifications, and 10 risks were identified. After that, process of ranking the risks was done by seeking help from 52 experts and by fuzzy analytic hierarchy process. The results show that experts have identified intangible risks as the most important risks in cloud computing usage by State-Owned organizations. As the results indicate, "data confidentiality" risk has the highest place among the other risks.

  7. R for cloud computing an approach for data scientists

    CERN Document Server

    Ohri, A

    2014-01-01

    R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era)  and helps the user navigate the wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud.  With this information the reader can select both cloud vendors  and the sometimes confusing cloud ecosystem as well  as the R packages that can help process the analytical tasks with minimum effort and cost, and maximum usefulness and customization. The use of Graphical User Interfaces (GUI)  and Step by Step screenshot tutorials is emphasized in this book to lessen the famous learning curve in learning R and some of the needless confusion created in cloud computing that hinders its widespread adoption. This will help you kick-start analytics on the cloud including chapters on cloud computing, R, common tasks performed in analytics, scrutiny of big data analytics, and setting up and navigating cloud providers. Readers are exposed to a breadth of cloud computing ch...

  8. Tripod of Requirements in Horizontal Heterogeneous Mobile Cloud Computing

    CERN Document Server

    Sanaei, Zohreh; Gani, Abdullah; Khokhar, Rashid Hafeez

    2012-01-01

    Recent trend of mobile computing is emerging toward executing resource-intensive applications in mobile devices regardless of underlying resource restrictions (e.g. limited processor and energy) that necessitate imminent technologies. Prosperity of cloud computing in stationary computers breeds Mobile Cloud Computing (MCC) technology that aims to augment computing and storage capabilities of mobile devices besides conserving energy. However, MCC is more heterogeneous and unreliable (due to wireless connectivity) compare to cloud computing. Problems like variations in OS, data fragmentation, and security and privacy discourage and decelerate implementation and pervasiveness of MCC. In this paper, we describe MCC as a horizontal heterogeneous ecosystem and identify thirteen critical metrics and approaches that influence on mobile-cloud solutions and success of MCC. We divide them into three major classes, namely ubiquity, trust, and energy efficiency and devise a tripod of requirements in MCC. Our proposed trip...

  9. Mobile Computing and Cloud maturity - Introducing Machine Learning for ERP Configuration Automation

    Directory of Open Access Journals (Sweden)

    Elena Geanina ULARU

    2013-01-01

    Full Text Available Nowadays the smart phone market is clearly growing due to the new type of functionalities that mobile devices have and the role that they play in everyday life. Their utility and benefits rely on the applications that can be installed on the device (the so-called mobile apps. Cloud computing is a way to enhance the world of mobile application by providing disk space and freeing the user of the local storage needs, this way providing cheaper storage, wider acces-sibility and greater speed for business. In this paper we introduce various aspects of mobile computing and we stress the importance of obtaining cloud maturity by using machine learning for automating configurations of software applications deployed on cloud nodes using the open source application ERP5 and SlapOS, an open source operating system for Decentralized Cloud Computing.

  10. PhoenixCloud: Provisioning Resources for Heterogeneous Workloads in Cloud Computing

    CERN Document Server

    Zhan, Jianfeng; Shi, Weisong; Gong, Shimin; Zang, Xiutao

    2010-01-01

    As more and more service providers choose Cloud platforms, which is provided by third party resource providers, resource providers needs to provision resources for heterogeneous workloads in different Cloud scenarios. Taking into account the dramatic differences of heterogeneous workloads, can we coordinately provision resources for heterogeneous workloads in Cloud computing? In this paper we focus on this important issue, which is investigated by few previous work. Our contributions are threefold: (1) we respectively propose a coordinated resource provisioning solution for heterogeneous workloads in two typical Cloud scenarios: first, a large organization operates a private Cloud for two heterogeneous workloads; second, a large organization or two service providers running heterogeneous workloads revert to a public Cloud; (2) we build an agile system PhoenixCloud that enables a resource provider to create coordinated runtime environments on demand for heterogeneous workloads when they are consolidated on a C...

  11. Application of microarray analysis on computer cluster and cloud platforms.

    Science.gov (United States)

    Bernau, C; Boulesteix, A-L; Knaus, J

    2013-01-01

    Analysis of recent high-dimensional biological data tends to be computationally intensive as many common approaches such as resampling or permutation tests require the basic statistical analysis to be repeated many times. A crucial advantage of these methods is that they can be easily parallelized due to the computational independence of the resampling or permutation iterations, which has induced many statistics departments to establish their own computer clusters. An alternative is to rent computing resources in the cloud, e.g. at Amazon Web Services. In this article we analyze whether a selection of statistical projects, recently implemented at our department, can be efficiently realized on these cloud resources. Moreover, we illustrate an opportunity to combine computer cluster and cloud resources. In order to compare the efficiency of computer cluster and cloud implementations and their respective parallelizations we use microarray analysis procedures and compare their runtimes on the different platforms. Amazon Web Services provide various instance types which meet the particular needs of the different statistical projects we analyzed in this paper. Moreover, the network capacity is sufficient and the parallelization is comparable in efficiency to standard computer cluster implementations. Our results suggest that many statistical projects can be efficiently realized on cloud resources. It is important to mention, however, that workflows can change substantially as a result of a shift from computer cluster to cloud computing.

  12. Scaling predictive modeling in drug development with cloud computing.

    Science.gov (United States)

    Moghadam, Behrooz Torabi; Alvarsson, Jonathan; Holm, Marcus; Eklund, Martin; Carlsson, Lars; Spjuth, Ola

    2015-01-26

    Growing data sets with increased time for analysis is hampering predictive modeling in drug discovery. Model building can be carried out on high-performance computer clusters, but these can be expensive to purchase and maintain. We have evaluated ligand-based modeling on cloud computing resources where computations are parallelized and run on the Amazon Elastic Cloud. We trained models on open data sets of varying sizes for the end points logP and Ames mutagenicity and compare with model building parallelized on a traditional high-performance computing cluster. We show that while high-performance computing results in faster model building, the use of cloud computing resources is feasible for large data sets and scales well within cloud instances. An additional advantage of cloud computing is that the costs of predictive models can be easily quantified, and a choice can be made between speed and economy. The easy access to computational resources with no up-front investments makes cloud computing an attractive alternative for scientists, especially for those without access to a supercomputer, and our study shows that it enables cost-efficient modeling of large data sets on demand within reasonable time.

  13. Challenges and opportunities of cloud computing for atmospheric sciences

    Science.gov (United States)

    Pérez Montes, Diego A.; Añel, Juan A.; Pena, Tomás F.; Wallom, David C. H.

    2016-04-01

    Cloud computing is an emerging technological solution widely used in many fields. Initially developed as a flexible way of managing peak demand it has began to make its way in scientific research. One of the greatest advantages of cloud computing for scientific research is independence of having access to a large cyberinfrastructure to fund or perform a research project. Cloud computing can avoid maintenance expenses for large supercomputers and has the potential to 'democratize' the access to high-performance computing, giving flexibility to funding bodies for allocating budgets for the computational costs associated with a project. Two of the most challenging problems in atmospheric sciences are computational cost and uncertainty in meteorological forecasting and climate projections. Both problems are closely related. Usually uncertainty can be reduced with the availability of computational resources to better reproduce a phenomenon or to perform a larger number of experiments. Here we expose results of the application of cloud computing resources for climate modeling using cloud computing infrastructures of three major vendors and two climate models. We show how the cloud infrastructure compares in performance to traditional supercomputers and how it provides the capability to complete experiments in shorter periods of time. The monetary cost associated is also analyzed. Finally we discuss the future potential of this technology for meteorological and climatological applications, both from the point of view of operational use and research.

  14. The New Trend of Security in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Xiangdong Li

    2012-12-01

    Full Text Available The use of services of cloud computing has been growing widely in industry, organizations and institutions recently, due to its tempting benefits, for example, the scalability, efficiency, flexibility and lower cost. The security issues have been studied and analyzed extensively. In order to understand the risk issues existing in today’s cloud, we discuss the new trend of security of cloud in this paper. The preventing methods are also discussed.

  15. Integration of Cloud resources in the LHCb Distributed Computing

    Science.gov (United States)

    Úbeda García, Mario; Méndez Muñoz, Víctor; Stagni, Federico; Cabarrou, Baptiste; Rauschmayr, Nathalie; Charpentier, Philippe; Closier, Joel

    2014-06-01

    This contribution describes how Cloud resources have been integrated in the LHCb Distributed Computing. LHCb is using its specific Dirac extension (LHCbDirac) as an interware for its Distributed Computing. So far, it was seamlessly integrating Grid resources and Computer clusters. The cloud extension of DIRAC (VMDIRAC) allows the integration of Cloud computing infrastructures. It is able to interact with multiple types of infrastructures in commercial and institutional clouds, supported by multiple interfaces (Amazon EC2, OpenNebula, OpenStack and CloudStack) - instantiates, monitors and manages Virtual Machines running on this aggregation of Cloud resources. Moreover, specifications for institutional Cloud resources proposed by Worldwide LHC Computing Grid (WLCG), mainly by the High Energy Physics Unix Information Exchange (HEPiX) group, have been taken into account. Several initiatives and computing resource providers in the eScience environment have already deployed IaaS in production during 2013. Keeping this on mind, pros and cons of a cloud based infrasctructure have been studied in contrast with the current setup. As a result, this work addresses four different use cases which represent a major improvement on several levels of our infrastructure. We describe the solution implemented by LHCb for the contextualisation of the VMs based on the idea of Cloud Site. We report on operational experience of using in production several institutional Cloud resources that are thus becoming integral part of the LHCb Distributed Computing resources. Furthermore, we describe as well the gradual migration of our Service Infrastructure towards a fully distributed architecture following the Service as a Service (SaaS) model.

  16. Towards quantitative measures of Information Security: A Cloud Computing case study

    Directory of Open Access Journals (Sweden)

    Mouna Jouini

    2015-05-01

    Full Text Available Cloud computing is a prospering technology that most organizations consider as a cost effective strategy to manage Information Technology (IT. It delivers computing services as a public utility rather than a personal one. However, despite the significant benefits, these technologies present many challenges including less control and a lack of security. In this paper, we illustrate the use of a cyber security metrics to define an economic security model for cloud computing system. We, also, suggest two cyber security measures in order to better understand system threats and, thus, propose appropriate counter measure to mitigate them.

  17. Enhanced Job Scheduling Algorithm for Cloud Computing Using Shortest Remaining Job First (SRJF

    Directory of Open Access Journals (Sweden)

    Mohammed Aboalama

    2015-06-01

    Full Text Available Cloud computing environments facilitate applications by providing virtualized resources that can be provisioned dynamically. Computing resources are delivered by Virtual Machines (VMs. In such a scenario, resource scheduling algorithms play an important role where the aim is to schedule applications effectively so as to reduce the turn-around time and improve resource utilization. The problem of this paper is how to dynamically allocate the submitted jobs to the available resources in order to complete the tasks within a minimum turn-around time as well as utilizing cloud resources effectively. The objective of this paper is to propose new scheduling algorithm on cloud computing environment using Shortest Remaining Job First (SRJF algorithm. The methodology of this paper depends on simulation using cloudsim. The results of this paper revealed that the proposed algorithm (SRJF performed better than the default scheduling algorithm.

  18. A Study on Strategic Provisioning of Cloud Computing Services

    Directory of Open Access Journals (Sweden)

    Md Whaiduzzaman

    2014-01-01

    Full Text Available Cloud computing is currently emerging as an ever-changing, growing paradigm that models “everything-as-a-service.” Virtualised physical resources, infrastructure, and applications are supplied by service provisioning in the cloud. The evolution in the adoption of cloud computing is driven by clear and distinct promising features for both cloud users and cloud providers. However, the increasing number of cloud providers and the variety of service offerings have made it difficult for the customers to choose the best services. By employing successful service provisioning, the essential services required by customers, such as agility and availability, pricing, security and trust, and user metrics can be guaranteed by service provisioning. Hence, continuous service provisioning that satisfies the user requirements is a mandatory feature for the cloud user and vitally important in cloud computing service offerings. Therefore, we aim to review the state-of-the-art service provisioning objectives, essential services, topologies, user requirements, necessary metrics, and pricing mechanisms. We synthesize and summarize different provision techniques, approaches, and models through a comprehensive literature review. A thematic taxonomy of cloud service provisioning is presented after the systematic review. Finally, future research directions and open research issues are identified.

  19. A Study on Strategic Provisioning of Cloud Computing Services

    Science.gov (United States)

    Rejaul Karim Chowdhury, Md

    2014-01-01

    Cloud computing is currently emerging as an ever-changing, growing paradigm that models “everything-as-a-service.” Virtualised physical resources, infrastructure, and applications are supplied by service provisioning in the cloud. The evolution in the adoption of cloud computing is driven by clear and distinct promising features for both cloud users and cloud providers. However, the increasing number of cloud providers and the variety of service offerings have made it difficult for the customers to choose the best services. By employing successful service provisioning, the essential services required by customers, such as agility and availability, pricing, security and trust, and user metrics can be guaranteed by service provisioning. Hence, continuous service provisioning that satisfies the user requirements is a mandatory feature for the cloud user and vitally important in cloud computing service offerings. Therefore, we aim to review the state-of-the-art service provisioning objectives, essential services, topologies, user requirements, necessary metrics, and pricing mechanisms. We synthesize and summarize different provision techniques, approaches, and models through a comprehensive literature review. A thematic taxonomy of cloud service provisioning is presented after the systematic review. Finally, future research directions and open research issues are identified. PMID:25032243

  20. A study on strategic provisioning of cloud computing services.

    Science.gov (United States)

    Whaiduzzaman, Md; Haque, Mohammad Nazmul; Rejaul Karim Chowdhury, Md; Gani, Abdullah

    2014-01-01

    Cloud computing is currently emerging as an ever-changing, growing paradigm that models "everything-as-a-service." Virtualised physical resources, infrastructure, and applications are supplied by service provisioning in the cloud. The evolution in the adoption of cloud computing is driven by clear and distinct promising features for both cloud users and cloud providers. However, the increasing number of cloud providers and the variety of service offerings have made it difficult for the customers to choose the best services. By employing successful service provisioning, the essential services required by customers, such as agility and availability, pricing, security and trust, and user metrics can be guaranteed by service provisioning. Hence, continuous service provisioning that satisfies the user requirements is a mandatory feature for the cloud user and vitally important in cloud computing service offerings. Therefore, we aim to review the state-of-the-art service provisioning objectives, essential services, topologies, user requirements, necessary metrics, and pricing mechanisms. We synthesize and summarize different provision techniques, approaches, and models through a comprehensive literature review. A thematic taxonomy of cloud service provisioning is presented after the systematic review. Finally, future research directions and open research issues are identified.

  1. Design and Implementation of Enhanced Secured Cloud Computing

    Directory of Open Access Journals (Sweden)

    M. Gayatri

    2014-03-01

    Full Text Available Cloud computing plays a major role in providing different resources in the form of web services like tax calculation web service, e-banking web service etc., for smooth running of our daily lives. We can rely on cloud computing if these useful web services are really secure enough to use. This paper focuses on analyzing limitations of current cryptographic schemes used in providing security to data on cloud and highlights the usage of Elliptic Curve Cryptography scheme (ECC used in cloud based applications and implements Elliptic curve digital signature algorithm on cloud data and compares its performance with RSA based scheme. The performance of elliptic curve cryptosystem heavily depends on an operation called point multiplication. In this paper a new point multiplication method using modified base representation is used. This method reduces the point addition as well as pint doubling operations thereby increasing the efficiency of computing time in performing encryption and decryption operations

  2. ATLAS distributed computing operations in the GridKa cloud

    Energy Technology Data Exchange (ETDEWEB)

    Duckeck, Guenter; Serfon, Cedric; Walker, Rodney [Ludwig-Maximilians-Universitaet, Garching (Germany); Harenberg, Torsten; Kalinin, Sergey; Schultes, Joachim [Bergische Universitaet, Wuppertal (Germany); Kawamura, Gen [Johannes-Gutenberg-Universitaet, Mainz (Germany); Leffhalm, Kai [DESY, Zeuthen (Germany); Meyer, Joerg [Georg-August-Universitaet, Goettingen (Germany); Petzold, Andreas [Karlsruher Institut fuer Technologie (Germany); Sundermann, Jan Erik [Albert-Ludwigs-Universitaet, Freiburg (Germany)

    2011-07-01

    The ATLAS Grid Computing resources in Germany, Poland, the Czech Republic, Austria, and Switzerland consist of a cloud of 12 Tier-2 computing centers grouped around the Tier-1 center GridKa at the Steinbuch Centre for Computing at KIT. While the Tier-1 center serves as a hub for data management in the cloud and is the principal resource for reprocessing and custodial storage of raw ATLAS data, the Tier-2 centers provide the resources for user analysis and production of simulated events. During the first full year of data taking at the LHC, the GridKa cloud has successfully contributed to the overall ATLAS computing effort, enabling physicists to quickly analyze the large volume of new incoming data and the corresponding simulated events. This talk covers the computing operations in the GridKa cloud with focus on performance and experiences at both the Tier-1 and Tier-2 centers.

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

    Directory of Open Access Journals (Sweden)

    D.Giridhar Kumar

    2014-11-01

    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.

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

    CERN Document Server

    Kuribayashi, Shin-ichi

    2011-01-01

    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...

  5. Implementasi Cloud Computing Menggunakan Metode Pengembangan Sistem Agile

    Directory of Open Access Journals (Sweden)

    Much Aziz Muslim

    2015-05-01

    Full Text Available Cloud computing merupakan sebuah teknologi yang menyediakan layanan terhadap sumber daya komputasi melalui sebuah jaringan. Sumber daya yang di sediakan di dalam cloud computing meliputi mesin, media penyimpanan data, sistem operasi dan program aplikasi. Fitur dari cloud computing dipercaya akan jauh lebih hemat dan memuaskan. Masalah yang muncul adalah bagaimana mengimplementasi Cloud Computing dengan menggunakan Windows Azure Pack dan bagaimana provisioning Windows Azure Pack SQL Database. Fokus pada penelitian ini adalah pada proses deploying dan provisioning SQL Database Server. Pengimplementasian cloud computing menggunakan metode pengembangan sistem agile dengan langkah-langkah meliputi perencanaan, implementasi, pengujian (test, dokumentasi, deployment dan pemeliharaan. Untuk menjalankan proses tersebut kebutuhan perangkat yang dipersiapkan meliputi perangkat keras seperti PC Server Cisco UCS C240 M3S2, Hardisk 8753 GB, 256 GB RAM, bandwith minimal 1 Mbps dan kebutuhan perangkat lunak meliputi Windows Server 2012 R2, VMM, Windows Azure Pack, IIS, SQL Server 2012 dan Web Patform Installer. Hasil dari implementasi cloud computing menggunakan metode pengembangan sistem agile adalah terbentuknya sebuah sistem cloud hosting provider dengan menggunakan Windows Azure Pack dan SQL Server 2012 sebagai sistem utama dan pengelolaan database menggunakan Microsoft SQL Server Management 

  6. CLOUD COMPUTING BASED INFORMATION SYSTEMS -PRESENT AND FUTURE

    Directory of Open Access Journals (Sweden)

    Maximilian ROBU

    2012-12-01

    Full Text Available The current economic crisis and the global recession have affected the IT market as well. A solution camefrom the Cloud Computing area by optimizing IT budgets and eliminating different types of expenses (servers, licenses,and so on. Cloud Computing is an exciting and interesting phenomenon, because of its relative novelty and explodinggrowth. Because of its raise in popularity and usage Cloud Computing has established its role as a research topic.However the tendency is to focus on the technical aspects of Cloud Computing, thus leaving the potential that thistechnology offers unexplored. With the help of this technology new market player arise and they manage to break thetraditional value chain of service provision. The main focus of this paper is the business aspects of Cloud. In particularwe will talk about the economic aspects that cover using Cloud Computing (when, why and how to use, and theimpacts on the infrastructure, the legalistic issues that come from using Cloud Computing; the scalability and partiallyunclear legislation.

  7. Implementasi Cloud Computing Menggunakan Metode Pengembangan Sistem Agile

    Directory of Open Access Journals (Sweden)

    Much Aziz Muslim

    2015-05-01

    Full Text Available Cloud computing merupakan sebuah teknologi yang menyediakan layanan terhadap sumber daya komputasi melalui sebuah jaringan. Sumber daya yang di sediakan di dalam cloud computing meliputi mesin, media penyimpanan data, sistem operasi dan program aplikasi. Fitur dari cloud computing dipercaya akan jauh lebih hemat dan memuaskan. Masalah yang muncul adalah bagaimana mengimplementasi Cloud Computing dengan menggunakan Windows Azure Pack dan bagaimana provisioning Windows Azure Pack SQL Database. Fokus pada penelitian ini adalah pada proses deploying dan provisioning SQL Database Server. Pengimplementasian cloud computing menggunakan metode pengembangan sistem agile dengan langkah-langkah meliputi perencanaan, implementasi, pengujian (test, dokumentasi, deployment dan pemeliharaan. Untuk menjalankan proses tersebut kebutuhan perangkat yang dipersiapkan meliputi perangkat keras seperti PC Server Cisco UCS C240 M3S2, Hardisk 8753 GB, 256 GB RAM, bandwith minimal 1 Mbps dan kebutuhan perangkat lunak meliputi Windows Server 2012 R2, VMM, Windows Azure Pack, IIS, SQL Server 2012 dan Web Patform Installer. Hasil dari implementasi cloud computing menggunakan metode pengembangan sistem agile adalah terbentuknya sebuah sistem cloud hosting provider dengan menggunakan Windows Azure Pack dan SQL Server 2012 sebagai sistem utama dan pengelolaan database menggunakan Microsoft SQL Server Management 

  8. Investigation into Cloud Computing for More Robust Automated Bulk Image Geoprocessing

    Science.gov (United States)

    Brown, Richard B.; Smoot, James C.; Underwood, Lauren; Armstrong, C. Duane

    2012-01-01

    Geospatial resource assessments frequently require timely geospatial data processing that involves large multivariate remote sensing data sets. In particular, for disasters, response requires rapid access to large data volumes, substantial storage space and high performance processing capability. The processing and distribution of this data into usable information products requires a processing pipeline that can efficiently manage the required storage, computing utilities, and data handling requirements. In recent years, with the availability of cloud computing technology, cloud processing platforms have made available a powerful new computing infrastructure resource that can meet this need. To assess the utility of this resource, this project investigates cloud computing platforms for bulk, automated geoprocessing capabilities with respect to data handling and application development requirements. This presentation is of work being conducted by Applied Sciences Program Office at NASA-Stennis Space Center. A prototypical set of image manipulation and transformation processes that incorporate sample Unmanned Airborne System data were developed to create value-added products and tested for implementation on the "cloud". This project outlines the steps involved in creating and testing of open source software developed process code on a local prototype platform, and then transitioning this code with associated environment requirements into an analogous, but memory and processor enhanced cloud platform. A data processing cloud was used to store both standard digital camera panchromatic and multi-band image data, which were subsequently subjected to standard image processing functions such as NDVI (Normalized Difference Vegetation Index), NDMI (Normalized Difference Moisture Index), band stacking, reprojection, and other similar type data processes. Cloud infrastructure service providers were evaluated by taking these locally tested processing functions, and then

  9. Understanding the cloud : The social implications of cloud computing and the need for accountability

    NARCIS (Netherlands)

    Niezen, M.G.H.; Steijn, W.M.P.

    2015-01-01

    Five years ago, cloud computing was one of the top emerging new technologies, nowadays it is almost common place. This rapid introduction of cloud business models in our society coincides with critical questions on the cloud’s risks, such as security and privacy. Moreover, there seems to be an incre

  10. Understanding the cloud : The social implications of cloud computing and the need for accountability

    NARCIS (Netherlands)

    Niezen, M.G.H.; Steijn, W.M.P.

    2015-01-01

    Five years ago, cloud computing was one of the top emerging new technologies, nowadays it is almost common place. This rapid introduction of cloud business models in our society coincides with critical questions on the cloud’s risks, such as security and privacy. Moreover, there seems to be an

  11. Traditional Host based Intrusion Detection Systems’ Challenges in Cloud Computing

    Directory of Open Access Journals (Sweden)

    Masoudeh Keshavarzi

    Full Text Available Cloud computing is one of the hottest topics in IT today. It can help enterprises improve the creation and delivery of IT solutions by allowing them to access services more flexibly and cost-effectively. Security concerns in the cloud environment are the ...

  12. Stakeholder interactions to support service creation in cloud computing

    NARCIS (Netherlands)

    Wang, Lei; Ferreira Pires, Luis; Wombacher, Andreas; Sinderen, van Marten J.; Chi, Chihung

    2010-01-01

    Cloud computing is already a major trend in IT. Cloud services are being offered at application (software), platform and infrastructure levels. This paper presents our initial modeling efforts towards service creation at the infrastructure level. The purpose of these modeling efforts is to understan

  13. Enhancing Instruction through Constructivism, Cooperative Learning, and Cloud Computing

    Science.gov (United States)

    Denton, David W.

    2012-01-01

    Cloud computing technologies, such as Google Docs and Microsoft Office Live, have the potential to enhance instructional methods predicated on constructivism and cooperative learning. Cloud-based application features like file sharing and online publishing are prompting departments of education across the nation to adopt these technologies.…

  14. Climate goals and computing the future of clouds

    Science.gov (United States)

    Schneider, Tapio; Teixeira, João; Bretherton, Christopher S.; Brient, Florent; Pressel, Kyle G.; Schär, Christoph; Siebesma, A. Pier

    2017-01-01

    How clouds respond to warming remains the greatest source of uncertainty in climate projections. Improved computational and observational tools can reduce this uncertainty. Here we discuss the need for research focusing on high-resolution atmosphere models and the representation of clouds and turbulence within them.

  15. Deployment strategies for distributed applications on cloud computing infrastructures

    NARCIS (Netherlands)

    Veen, J.S. van der; Lazovik, E.; Makkes, M.X.; Meijer, R.J.

    2013-01-01

    Cloud computing enables on-demand access to a shared pool of IT resources. In the case of Infrastructure as a Service (IaaS), the cloud user typically acquires Virtual Machines (VMs) from the provider. It is up to the user to decide at what time and for how long they want to use these VMs. Because o

  16. Profiling energy consumption of VMs for green cloud computing

    NARCIS (Netherlands)

    Qingwen, C.; Grosso, P.; van der Veldt, K.; de Laat, C.; Hofman, R.; Bal, H.E.

    2011-01-01

    The GreenClouds project in the Netherlands in- vestigates a system-level approach towards greening High- Performance Computing (HPC) infrastructures and clouds. In this paper we present our initial results in profiling virtual machines with respect to three power metrics, i.e. power, power efficienc

  17. Cloud Computing E-Communication Services in the University Environment

    Science.gov (United States)

    Babin, Ron; Halilovic, Branka

    2017-01-01

    The use of cloud computing services has grown dramatically in post-secondary institutions in the last decade. In particular, universities have been attracted to the low-cost and flexibility of acquiring cloud software services from Google, Microsoft and others, to implement e-mail, calendar and document management and other basic office software.…

  18. Deployment Strategies for Distributed Applications on Cloud Computing Infrastructures

    NARCIS (Netherlands)

    Veen, J.S. van der; Elena Lazovik, E.; Makkes, M.X.; Meijer, R.J.

    2013-01-01

    Cloud computing enables on-demand access to a shared pool of IT resources. In the case of Infrastructure as a Service (IaaS), the cloud user typically acquires Virtual Machines (VMs) from the provider. It is up to the user to decide at what time and for how long they want to use these VMs. Because o

  19. Cloud computing Moving IT out of the office

    CERN Document Server

    IT, BCS The Chartered Institute for

    2012-01-01

    Cloud computing is seen as one of the main business drivers for growth and innovation, yet debate continues around its benefits, security and data protection issues. This ebook looks at different aspects of the cloud, from strategic considerations to legal and security issues, aiming to provide a clearer picture of its benefits and drawbacks.

  20. Deployment strategies for distributed applications on cloud computing infrastructures

    NARCIS (Netherlands)

    Veen, J.S. van der; Lazovik, E.; Makkes, M.X.; Meijer, R.J.

    2013-01-01

    Cloud computing enables on-demand access to a shared pool of IT resources. In the case of Infrastructure as a Service (IaaS), the cloud user typically acquires Virtual Machines (VMs) from the provider. It is up to the user to decide at what time and for how long they want to use these VMs. Because