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    Business integration of industrial communications with Cloud computing

    Costache, C. ; Sandu, F. ; Balan, T. ; Nedelcu, A. ; Covei, A.
    Communications (COMM), 2014 10th International Conference on

    DOI: 10.1109/ICComm.2014.6866764
    Publication Year: 2014 , Page(s): 1 - 4

    IEEE Conference Publications

    Industrial communications are influenced by the emerging Cloud trend, being more and more service-oriented. The access model to on-demand provisioned infrastructure is generic considered hereby as driven by VISA (Virtual Instrumentation Software Architecture) and being an extension of the “Measurement-as-a-Service”. Aggregation of the industrial instrumentation into the Cloud is based on the business execution logic. This paper describes a method for exposing as web services the VISA instruments, and proposes an architecture, based on BPEL (Business Process Execution Language) and ESB (Enterprise Service Bus), to integrate, at business level, the Cloud provisioned elements based on the models of virtual instrumentation extended as IaaS (Infrastructure-as-a-Service). View full abstract»

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    Collaborative Task Execution in Mobile Cloud Computing under Stochastic Wireless Channel

    Zhang, W. ; Wen, Y. ; Wu, D.O.
    Wireless Communications, IEEE Transactions on

    Volume: PP , Issue: 99
    DOI: 10.1109/TWC.2014.2331051
    Publication Year: 2014 , Page(s): 1

    IEEE Early Access Articles

    This paper investigates collaborative task execution between mobile device and cloud clone for mobile applications under stochastic wireless channel. A mobile application is modeled as a sequence of tasks that can be executed on the mobile device or on the cloud clone. We aim to minimize the energy consumption on the mobile device while meeting a time deadline, by strategically offloading tasks to the cloud. We formulate the collaborative task execution as a constrained shortest path problem. We derive a one-climb policy by characterizing the optimal solution and then propose an enumeration algorithm for the collaborative task execution in polynomial time. Further, we apply LARAC algorithm to solving the optimization problem approximately, which has lower complexity than enumeration algorithm. Simulation results show that the approximate solution of LARAC algorithm is close to the optimal solution of enumeration algorithm. In addition, we consider a probabilistic time deadline, which is transformed to hard deadline by Markov inequality. Moreover, compared to the local execution and the remote execution, the collaborative task execution can significantly save the energy consumption on the mobile device, prolonging its battery life. View full abstract»

  • Freely Available from IEEE

    Call for papers - Special issue on cloud computing

    Tsinghua Science and Technology

    Volume: 19 , Issue: 2
    DOI: 10.1109/TST.2014.6787376
    Publication Year: 2014 , Page(s): 223

    TUP Journals & Magazines

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    Sensor network system to promote energy conservation realization of energy smart school

    Kuzume, K. ; Okada, M.
    Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014 IEEE International Conference on

    DOI: 10.1109/PerComW.2014.6815197
    Publication Year: 2014 , Page(s): 187 - 190

    IEEE Conference Publications

    Owing to the occurrence of the Great East Japan Earthquake and a rise in concern about the global warming issue, we are required to review the conventional Japanese life style and to improve our awareness of energy conservation. At schools, education on energy saving as part of the environmental education field attracts our attention. “Technology for visualization of electric power consumption” has been developed as a tool to promote energy saving activity. In this research, we propose a novel system to promote energy saving activity at school using a sensor network, and complete the proto-type equipment and confirm its performance and usefulness. The system has the following features: offers various functions for energy-saving activities, lower price and ease of construction when compared with conventional tools. View full abstract»

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    A quality-based semantic service broker using reachability indexes

    Yen-Ting Lee ; Ching-Seh Wu
    Internet of Things (WF-IoT), 2014 IEEE World Forum on

    DOI: 10.1109/WF-IoT.2014.6803172
    Publication Year: 2014 , Page(s): 277 - 282

    IEEE Conference Publications

    Cloud computing based on the loosely coupled service-oriented architecture facilitates the process of application integration from existing software. As there is a growing demand for cloud computing techniques and applications across a wide range of domains; selecting the best from many services which provide similar functionality remains an elusive task. In this paper, we propose a quality-based semantic service broker using reachability indexes. This broker uses semantic concepts to model services in a conceptual aggregation graph. In addition, the broker also creates reachability labels for each vertex in the conceptual aggregation graph to speed up composition discovery. During the service discovery and composition, all possible solutions are found and ranked by the service consumer's quality requirements. Even if no solution matches the quality requirements, a suggested solution from the similarity distance relaxation is provided. View full abstract»

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    Downlink and Uplink Energy Minimization Through User Association and Beamforming in Cloud RAN

    Luo, S. ; Zhang, R. ; Lim, T.
    Wireless Communications, IEEE Transactions on

    Volume: PP , Issue: 99
    DOI: 10.1109/TWC.2014.2352619
    Publication Year: 2014 , Page(s): 1

    IEEE Early Access Articles

    The cloud radio access network (C-RAN) concept, in which densely deployed access points (APs) are empowered by cloud computing to cooperatively support mobile users (MUs), to improve mobile data rates, has been recently proposed. However, the high density of active APs results in severe interference and also inefficient energy consumption. Moreover, the growing popularity of highly interactive applications with stringent uplink (UL) requirements, e.g. network gaming and real-time broadcasting by wireless users, means that the UL transmission is becoming more crucial and requires special attention. Therefore in this paper, we propose a joint downlink (DL) and UL MU-AP association and beamforming design to coordinate interference in the C-RAN for energy minimization, a problem which is shown to be NP hard. Due to the new consideration of UL transmission, it is shown that the two state-of-the-art approaches for finding computationally efficient solutions of joint MU-AP association and beamforming considering only the DL, i.e., groupsparse optimization and relaxed-integer programming, cannot be modified in a straightforward way to solve our problem. Leveraging on the celebrated UL-DL duality result, we show that by establishing a virtual DL transmission for the original UL transmission, the joint DL and UL optimization problem can be converted to an equivalent DL problem in C-RAN with two inter-related subproblems for the original and virtual DL transmissions, respectively. Based on this transformation, two efficient algorithms for joint DL and UL MU-AP association and beamforming design are proposed, whose performances are evaluated and compared with other benchmarking schemes through extensive simulations. View full abstract»

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    Inter-cloud Data Transfer Security

    Chalse, R.R. ; Katara, A. ; Selokar, A. ; Talmale, R.
    Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on

    DOI: 10.1109/CSNT.2014.137
    Publication Year: 2014 , Page(s): 654 - 657

    IEEE Conference Publications

    The use of cloud computing has increased rapidly in many organizations. Cloud computing provides many benefits in terms of low cost and accessibility of data. Cloud computing has generated a lot of interest and competition in the industry and it is recognize as one of the top 10 technologies of 2010. It is an internet based service delivery model which provides internet based services, computing and storage for users in all market including financial, health care & government. In this paper we to provide Inter Cloud Data Transfer Security. Cloud security is becoming a key differentiator and competitive edge between cloud providers. This paper discusses the security issues arising in different type of clouds. This work aims to promote the use of multi-clouds due to its ability to reduce security risks that affect the cloud computing user. View full abstract»

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    BestPeer++: A Peer-to-Peer BasedLarge-Scale Data Processing Platform

    Gang Chen ; Tianlei Hu ; Dawei Jiang ; Peng Lu ; Kian-Lee Tan ; Hoang Tam Vo ; Sai Wu
    Knowledge and Data Engineering, IEEE Transactions on

    Volume: 26 , Issue: 6
    DOI: 10.1109/TKDE.2012.236
    Publication Year: 2014 , Page(s): 1316 - 1331

    IEEE Journals & Magazines

    The corporate network is often used for sharing information among the participating companies and facilitating collaboration in a certain industry sector where companies share a common interest. It can effectively help the companies to reduce their operational costs and increase the revenues. However, the inter-company data sharing and processing poses unique challenges to such a data management system including scalability, performance, throughput, and security. In this paper, we present BestPeer++, a system which delivers elastic data sharing services for corporate network applications in the cloud based on BestPeer - a peer-to-peer (P2P) based data management platform. By integrating cloud computing, database, and P2P technologies into one system, BestPeer++ provides an economical, flexible and scalable platform for corporate network applications and delivers data sharing services to participants based on the widely accepted pay-as-you-go business model. We evaluate BestPeer++ on Amazon EC2 Cloud platform. The benchmarking results show that BestPeer++ outperforms HadoopDB, a recently proposed large-scale data processing system, in performance when both systems are employed to handle typical corporate network workloads. The benchmarking results also demonstrate that BestPeer++ achieves near linear scalability for throughput with respect to the number of peer nodes. View full abstract»

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    Smart gateway based communication for cloud of things

    Aazam, M. ; Pham Phuoc Hung ; Eui-Nam Huh
    Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on

    DOI: 10.1109/ISSNIP.2014.6827673
    Publication Year: 2014 , Page(s): 1 - 6

    IEEE Conference Publications

    Integration of Internet of Things with Cloud Computing is gaining importance, with the way the trend is going on in ubiquitous computing world. Literally, everything is going to be connected to the Internet and its data will be used for various progressive purposes, creating not only information from it, but also, knowledge and even wisdom. Internet of Things (IoT) becoming so pervasive that it is becoming important to integrate it with cloud computing because of the amount of data IoT's could generate and their requirement to have the privilege of virtual resource utilization and storage capacity, but also, to make it possible to create more usefulness from the data generated by IoT's and develop smart applications for the users. Integration of IoT with Cloud Computing, referred here as Cloud of Things, requires smart gateway to perform the rich tasks and preprocessing, which sensors and light IoTs are not capable of doing. This paper focuses on some of the key challenges involved in CoT and the proposal of smart gateway based communication. View full abstract»

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    Budget-aware task scheduling in the cloud

    Thanasias, Vasileios ; Lee, Choonhwa ; Helal, Sumi
    Ubiquitous and Future Networks (ICUFN), 2014 Sixth International Conf on

    DOI: 10.1109/ICUFN.2014.6876802
    Publication Year: 2014 , Page(s): 309 - 310

    IEEE Conference Publications

    This paper addresses the problem of task scheduling and resource provisioning for workloads submitted on IaaS clouds. It presents a novel algorithm capable of executing workloads with deadline constraints, while efficiently utilizing given budgets. Our simulation study demonstrates a substantial performance gain by the proposal. View full abstract»

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    The ARES Project: Cloud Services for Medical Genomics

    Femminella, M. ; Reali, G. ; Valocchi, D. ; Nunzi, E. ; Napolioni, V. ; Picciolini, M.
    Network Cloud Computing and Applications (NCCA), 2014 IEEE 3rd Symposium on

    DOI: 10.1109/NCCA.2014.11
    Publication Year: 2014 , Page(s): 15 - 22
    Cited by:  Papers (1)

    IEEE Conference Publications

    This paper shows the cloud services provided by the project ARES. The network solutions have been illustrated in a companion paper in the same conference. The ARES project aims to deploy CDN services over a broadband network for accessing and exchanging genomic datasets, accessible by medical and research personnel through a Cloud interface. This paper illustrates the procedure defined to access such services, also providing a case-study simulation to show the implementation of the bioinformatics pipeline included. The experimental activity in ARES aims to gain a detailed understanding of the network problems relating to its sustainability given the increasing use of genomics for diagnostic purposes. The main aim is to allow an extensive use of genomic data through the collection of relevant information available from the network in the medical and diagnostic field diseases. View full abstract»

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    Mobile robot motion planning based on Cloud Computing stereo vision processing

    Salmeron-Garcia, Javier ; Inigo-Blasco, Pablo ; Diaz-del-Rio, Fernando ; Cagigas-Muniz, Daniel
    ISR/Robotik 2014; 41st International Symposium on Robotics; Proceedings of

    Publication Year: 2014 , Page(s): 1 - 6

    VDE Conference Publications

    Nowadays, the limitations of robot embedded hardware (which cannot be upgraded easily) make difficult to perform computationally complex tasks such as those of high level artificial vision. However, instead of disposing these "out-dated" embedded systems, Cloud technologies for computation offloading can be used. In this paper we present and analyze an example of computation offloading in the context of artifical vision: point cloud extraction for stereo images. A prototype prepared for exploiting the cloud's unique capabilities (such as elasticity) has been developed, and the inherent issues that appears are explained and addressed. View full abstract»

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    Code offloading on opportunistic computing

    Ferrari, A. ; Puccinelli, D. ; Giordano, S.
    Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014 IEEE International Conference on

    DOI: 10.1109/PerComW.2014.6815183
    Publication Year: 2014 , Page(s): 148 - 150

    IEEE Conference Publications

    Although mobile smart devices are becoming more and more resourceful, they cannot compete with higher-end devices in terms of computational capabilities. Therefore, it is generally advantageous to offload computationally intensive tasks. While cloud-based offloading is popular, it has a non-negligible impact on the energy consumption of mobile devices. Our solution is a novel approach based on locally opportunistic code offloading that leverages the local availability of higher-end devices. We aim to demonstrate the benefits of our approach with respect to a widely adopted benchmark: face recognition. View full abstract»

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    Enterprise-Oriented Data Monetization Services

    Verma, D. ; Verma, P.
    Techniques for Surviving Mobile Data Explosion

    DOI: 10.1002/9781118834404.ch08
    Copyright Year: 2014

    Wiley-IEEE Press eBook Chapters

    In order to monetize the data flowing through their networks, mobile network operators can target enterprises in addition to their subscribers. The differentiating advantages that a mobile network operator has in offering services to an enterprise are that it can provide services to employees of the enterprise at a lower latency, intercept messages on its network transparently, and determine location of employees without requiring a power-draining application on the mobile handhelds. This allows it to offer services like caching and content distribution to reduce the load on employee networks from mobile phones in a seamless manner. The network operator can also provide transformation of existing applications to work better for mobile users. An extension of content distribution would be to execute applications at low latency, that is, offer cloud computing from locations with a low latency like cell towers. This so-called service like fog computing can be used to offer enhanced security and virtualization services for enterprises. View full abstract»

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    Using Virtualization and noVNC to Support Assistive Technology in Cloud Computing

    Mulfari, D. ; Celesti, A. ; Villari, M. ; Puliafito, A.
    Network Cloud Computing and Applications (NCCA), 2014 IEEE 3rd Symposium on

    DOI: 10.1109/NCCA.2014.28
    Publication Year: 2014 , Page(s): 125 - 132

    IEEE Conference Publications

    In this paper, we focus on how the virtualization technology can support the usage of Assistive Technology (AT) in cloud computing. AT provides software tools to people with disabilities. Unfortunately, these pieces of software are not easy to configure when a disabled user needs to occasionally use a shared computer, e.g., in an internet point, in a library, in a campus, and so on. The proposed solution allows users to access remote Virtual Machines (VMs) through an HTML5 web interface. These virtual environments meet the user's personal demand: they support both traditional desktop applications and customized AT tools. In this way, people with disabilities can use any networked computer with a web browser to manage their personal working environments. Nevertheless, achieving such a goal in a cloud computing environment is not trivial at all, because existing remote desktop client viewer applications have not been designed to support the interaction with AT software running on VMs. To achieve such an objective, we propose an open source cloud-based system including no VNC as HTML5 remote desktop proxy/client web application, Virtual Network Computing (VNC) as open source technology to access a remote VM, Oracle Virtual Box as hypervisor, and CLEVER as Virtual Infrastructure Manager (VIM) middleware. View full abstract»

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    Open learning optimization based on cloud technology: Case study implementation in personalization e-learning

    Selviandro, N. ; Suryani, M. ; Hasibuan, Z.A.
    Advanced Communication Technology (ICACT), 2014 16th International Conference on

    DOI: 10.1109/ICACT.2014.6779019
    Publication Year: 2014 , Page(s): 541 - 546

    IEEE Conference Publications

    Indonesia is a developing country that began to utilize information technology in education. A form of its implementation is the use of e-learning. However, in practice there are still some obstacles, such as learning resources are not evenly distributed, limited access to services provided, qualified educators resources are concentrated in specific areas. This led to the emergence of disparities educational process, and technology gap due to differences in ICT infrastructure owned by any educational institution. Therefore this study propose an architecture of cloud-based open learning to solve these problems. The term open learning is used in order to encouraging the development of the concept of Indonesia Open Educational Resources (IOER) and as well as the adoption of concept of cloud computing. This research through several phases of research including analysis, design, implementation, testing and evaluation. The design of the proposed architecture consists of six layers: (1) Infrastructure, (2) Platform, (3) Application, (4) Service, (5) Access, (6) User. As a results of the implementation from this architecture is a prototype of Indonesia - Virtual Open Learning System (iVOLS). In experiment, personalization e-learning runs as a service that need large storage and other shared facilities to conduct the program so the system can delivered different learning materials to different learners. The personalization e-learning in cloud environment successed when the learners got the best performance on learning and it shown by their evaluation score. Based on the test results and evaluation showed that the availability on Cloud-Based Open Learning further meet user needs. This is indicated by the presence of a simple infrastructure services, application services with just one stage and the availability of a wider range of data and the resource sharing. In accessibility, Cloud-Based Open Learning provides easy access to the user. By economically, the result of evaluat- on showed that Cloud-Based Open Learning has an investment of 35.61% efficiency, increase return on investment (ROI) of 60.95% and an increase in benefits (NPV) of 81.97% from the user's perspective. While from the provider's perspective, Cloud-Based Open Learning has an investment of 200% efficiency, increase return on investment (Rol) of 220.4% and an increase in benefits (NPV) of 109.55%. View full abstract»

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    Securing SCADA in the cloud: Managing the risks to avoid the perfect storm

    Piggin, R.S.H.
    Instrumentation Symposium 2014, IET & ISA 60th International

    DOI: 10.1049/cp.2014.0535
    Publication Year: 2014 , Page(s): 1 - 6

    IET Conference Publications

    This paper discusses the opportunities and risks for migration of Supervisory Control and Data Acquisition (SCADA) and Industrial Control Systems (ICS) to cloud based computing. Different cloud deployment models illustrate the challenges and recommendations. View full abstract»

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    Algorithms for efficient data management of component-based applications in cloud environments

    Barshan, M. ; Moens, H. ; Latre, S. ; De Turck, F.
    Network Operations and Management Symposium (NOMS), 2014 IEEE

    DOI: 10.1109/NOMS.2014.6838257
    Publication Year: 2014 , Page(s): 1 - 8

    IEEE Conference Publications

    Cloud environments face a growing demand for application hosting, and applications consisting of multiple data-sources and storage components. The need to ensure service level agreements for these types of applications creates important challenges for cloud infrastructure providers. The main contribution of this paper is an optimal cost-effective model and two algorithms to map component-based data oriented applications to cloud platforms. The first algorithm is based on an Integer Linear Programming formulation and minimizes an objective function, taking into account the capacities of the available nodes and links, as well as the customer requirements. This algorithm is able to obtain the optimal solution, but shows a limited scalability. For this reason a heuristic algorithm is designed to solve the scalability issue. The experimental results thoroughly compare the execution times and obtained node usage for both algorithms. View full abstract»

  • Freely Available from IEEE

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    Cloud Computing, IEEE

    Volume: 1 , Issue: 1
    DOI: 10.1109/MCC.2014.16
    Publication Year: 2014 , Page(s): 93

    IEEE Journals & Magazines

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    A design of security framework for data privacy in e-health system using web service

    Thiranant, N. ; Sain, M. ; Hoon Jae Lee
    Advanced Communication Technology (ICACT), 2014 16th International Conference on

    DOI: 10.1109/ICACT.2014.6778918
    Publication Year: 2014 , Page(s): 40 - 43

    IEEE Conference Publications

    E-Health is a common term used for electronic health, where the services and systems provided include electronic health records, prescriptions, consumer health information, healthcare information systems, and so on. In this period of time, several patients have started to use e-health, considering the convenience of services delivered and cost reduction. The popularity has abruptly been increasing due to a wide range of services. From the system administrator's perspectives, not only protecting privacy of patients is considered a difficult task, but also building trust of patients in e-health. In this paper, a design of security framework for data privacy in e-Health system based on web service architecture is proposed. It is interesting to note that the approach proposed in this paper is not limited to e-Health system. View full abstract»

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    Fast intra block copy (IntraBC) search for HEVC screen content coding

    Do-Kyoung Kwon ; Budagavi, M.
    Circuits and Systems (ISCAS), 2014 IEEE International Symposium on

    DOI: 10.1109/ISCAS.2014.6865052
    Publication Year: 2014 , Page(s): 9 - 12

    IEEE Conference Publications

    Coding of screen content video is becoming important because of applications such as wireless displays, remote desktop, remote gaming, automotive infotainment, cloud computing, distance education etc. Video in these applications often has mixed content consisting of natural video, text and graphics in the same picture. Intra block copy (IntraBC) is a new coding tool being studied for the HEVC Range Extensions (RExt) standard. IntraBC is a block matching technique where in a Coding Unit (CU) is predicted as a displacement from already reconstructed block of samples from neighboring region in the same picture. IntraBC is very effective for screen content video since it removes redundancy from repeating patterns which typically occur in text and graphics regions. IntraBC provides a significant bit rate savings (up to 44%) for screen content sequences but at the cost of encoding time increase because of the search involved in Intra block matching. This paper presents fast encoding techniques for early skipping of IntraBC search which result in about 21% - 24% encoding time reduction for Intra coding. View full abstract»

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    Introduction of an outranking method in the Cloud computing research and Selection System based on the Skyline

    Abourezq, M. ; Idrissi, A.
    Research Challenges in Information Science (RCIS), 2014 IEEE Eighth International Conference on

    DOI: 10.1109/RCIS.2014.6861067
    Publication Year: 2014 , Page(s): 1 - 12

    IEEE Conference Publications

    In this paper, we present an improvement of the Cloud Service Research and Selection System (CSRSS) which allows Cloud users to search through Cloud services in the database and find the ones that match their requirements. The CSRSS is based on the Skyline and showed some promising first results. We consider that the research and selection of a Cloud service among a set of Cloud services is a choice problem. So, in this work, we thought of using outranking methods in order to better refine the results. Our work's main contribution is conceiving an Agent that uses both the Skyline and an outranking method to determine which Cloud services meet best the users' requirements. Empirical results show that our method is effective and very promising. View full abstract»

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    The Design of a Decision Support Tool for Delivery and Deployment Models

    Armenise, R. ; De Chiara, R. ; Servillo, P. ; Zurolo, F.
    Network Cloud Computing and Applications (NCCA), 2014 IEEE 3rd Symposium on

    DOI: 10.1109/NCCA.2014.22
    Publication Year: 2014 , Page(s): 91 - 94

    IEEE Conference Publications

    In this paper we report our experiences in designing DE3TO, a tool to support the decisions about the delivery and the deployment models in the process of adoption of a cloud based solution for enterprises. The tool leverages a simple questionnaire to enable a user who is in charge of the decision about the model of deployment and delivery of a cloud service, to receive a score for each of the models depending on his enterprise particular needs. DE3TO has been created by collecting the enterprises' experiences of successful use cases of cloud based solutions. As a validation we used the tool to verify how it would have worked on two different cases that can be found in literature. View full abstract»

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    Automated Instantiation of Heterogeneous Fast Flow CPU/GPU Parallel Pattern Applications in Clouds

    Boob, S. ; Gonzalez-Velez, H. ; Popescu, A.M.
    Parallel, Distributed and Network-Based Processing (PDP), 2014 22nd Euromicro International Conference on

    DOI: 10.1109/PDP.2014.88
    Publication Year: 2014 , Page(s): 162 - 169

    IEEE Conference Publications

    Parallel scientific workloads typically entail highly-customised software environments, involving complex data structures, specialised systems software, and even distinct hardware, where virtualisation is not necessarily supported by third-party providers. Considering the expansion of cloud computing in different domains and the development of different proprietary (e.g. Amazon Web Services, Azure) and open source cloud platforms (Eucalyptus, OpenStack, OpenNebula), users should arguably be able to automatically and seamlessly migrate their parallel workloads across cloud platforms using standardised virtual machines. However, even if it is easier to migrate the workload between nodes when the nodes have a similar configuration on the same platform, the transition between different platforms typically raises different issues such as vendor lock-in, portability, and interoperability. In this paper, we describe our work to automatically deploy a complex parallel software stack on heterogeneous hybrid cloud platforms. We have elastically deployed FastFlow - a C/C++ pattern-based programming framework for multi-/many-core and distributed platforms -- using virtual machines on both CPU and GPU-based architectures between heterogeneous virtualised platforms. Our approach relies on the standard Open Virtualization Format (OVF) in order to achieve a universal description of virtual appliances. Such a description is not only useful for elastically migrating and deploying, but also to determine the hardware/system software configuration needed switching to any new (cloud) image format. We have successfully evaluated our work using virtual machines based on VirtualBox and Amazon Web Services on local cluster and public cloud providers. View full abstract»

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    Price Competition in an Oligopoly Market with Multiple IaaS Cloud Providers

    Yuan Feng ; Baochun Li ; Bo Li
    Computers, IEEE Transactions on

    Volume: 63 , Issue: 1
    DOI: 10.1109/TC.2013.153
    Publication Year: 2014 , Page(s): 59 - 73

    IEEE Journals & Magazines

    As an increasing number of infrastructure-as-a-service (IaaS) cloud providers start to provide cloud computing services, they form a competition market to compete for users of these services. Due to different resource capacities and service workloads, users may observe different finishing times for their cloud computing tasks and experience different levels of service qualities as a result. To compete for cloud users, it is critically important for each cloud service provider to select an "optimal" price that best corresponds to their service qualities, yet remaining attractive to cloud users. To achieve this goal, the underlying rationale and characteristics in this competition market need to be better understood. In this paper, we present an in-depth game theoretic study of such a competition market with multiple competing IaaS cloud providers. We characterize the nature of noncooperative competition in an IaaS cloud market, with a goal of capturing how each IaaS cloud provider will select its optimal prices to compete with the others. Our analyses lead to sufficient conditions for the existence of a Nash equilibrium, and we characterize the equilibrium analytically in special cases. Based on our analyses, we propose iterative algorithms for IaaS cloud providers to compute equilibrium prices, which converge quickly in our study. View full abstract»

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