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2013 IEEE Sixth International Conference on Cloud Computing

June 28 2013-July 3 2013

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Displaying Results 1 - 25 of 149
  • Cover Art

    Publication Year: 2013, Page(s): C4
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  • Title Page i

    Publication Year: 2013, Page(s): i
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  • Title Page iii

    Publication Year: 2013, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2013, Page(s): iv
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  • Table of Contents

    Publication Year: 2013, Page(s):v - xv
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  • Message from the General Chairs and Program Chairs

    Publication Year: 2013, Page(s): xvi
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  • Organizing Committee

    Publication Year: 2013, Page(s):xvii - xviii
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  • Program Committee

    Publication Year: 2013, Page(s):xix - xx
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  • External Reviewers

    Publication Year: 2013, Page(s): xxi
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  • IEEE Computer Society Technical Committee on Services Computing (TC-SVC)

    Publication Year: 2013, Page(s): xxii
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  • Using a Tunable Knob for Reducing Makespan of MapReduce Jobs in a Hadoop Cluster

    Publication Year: 2013, Page(s):1 - 8
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (405 KB) | HTML iconHTML

    The MapReduce framework and its open source implementation Hadoop have become the defacto platform for scalable analysis on large data sets in recent years. One of the primary concerns in Hadoop is how to minimize the completion length (i.e., makespan) of a set of MapReduce jobs. The current Hadoop only allows static slot configuration, i.e., fixed numbers of map slots and reduce slots throughout ... View full abstract»

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  • Improving Multi-job MapReduce Scheduling in an Opportunistic Environment

    Publication Year: 2013, Page(s):9 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (235 KB) | HTML iconHTML

    As a state-of-the-art programming model for big data analytics, MapReduce is well suited for parallel processing of large data sets in opportunistic environments. Existing research on MapReduce in opportunistic environment has focused on improving single job performance, the issue of fairness that is critical in the more dominant scenario of multiple concurrent jobs remains unexplored. We address ... View full abstract»

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  • MC2: Map Concurrency Characterization for MapReduce on the Cloud

    Publication Year: 2013, Page(s):17 - 26
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (707 KB) | HTML iconHTML

    MapReduce is now a pervasive analytics engine on the cloud. Hadoop is an open source implementation of MapReduce and is currently enjoying wide popularity. Hadoop offers a high-dimensional space of configuration parameters, which makes it difficult for practitioners to set for efficient and cost-effective execution. In this work we observe that MapReduce application performance is highly influence... View full abstract»

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  • Impact of Instance Seeking Strategies on Resource Allocation in Cloud Data Centers

    Publication Year: 2013, Page(s):27 - 34
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (659 KB) | HTML iconHTML

    With the prosperity of cloud computing, an increasing number of Small and Medium-sized Enterprises (SMEs) move their business to public clouds such as Amazon EC2. To help tenants deploy services in the cloud, researchers either conduct performance evaluations or design mechanisms and software on seeking virtual machines of better performance. However, few studies have investigated the impact of in... View full abstract»

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  • Redundancy Aware Virtual Disk Mobility for Cloud Computing

    Publication Year: 2013, Page(s):35 - 42
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (607 KB) | HTML iconHTML

    With multiplicity of Cloud service providers offering geographically distributed Compute Clouds, both providers and customers find it necessary to quickly move virtual machine images between data centers. This is usually accomplished using standard rsync-based transfer which is slow and bandwidth intensive given large size of virtual machine images. This article proposes a mechanism to reconstitut... View full abstract»

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  • Improving Availability of Cloud-Based Applications through Deployment Choices

    Publication Year: 2013, Page(s):43 - 50
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (906 KB) | HTML iconHTML

    Deployment choices are critical in determining the availability of applications running in a cloud. But choosing good deployment for various software application components into virtual machines is a challenging task because of potential sharing of components among applications and potential interference from multi-tenancy. This paper presents an approach for improving the availability guarantee o... View full abstract»

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  • Efficient Privacy-Preserving Range Queries over Encrypted Data in Cloud Computing

    Publication Year: 2013, Page(s):51 - 58
    Cited by:  Papers (2)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB) | HTML iconHTML

    With the growing popularity of data and service outsourcing, where the data resides on remote servers in encrypted form, there remain open questions about what kind of query operations can be performed on the encrypted data. In this paper, we focus on one such important query operation, namely range query. One of the basic security primitive that can be used to evaluate range queries is secure com... View full abstract»

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  • An Application-Level Approach for Privacy-Preserving Virtual Machine Checkpointing

    Publication Year: 2013, Page(s):59 - 66
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB) | HTML iconHTML

    Virtualization has been widely adopted in recent years in the cloud computing platform to improve server consolidation and reduce operating cost. Virtual Machine (VM) checkpointing refers to the act of saving a persistent snapshot (or checkpoint) of a VM's state at any instant. VM checkpointing can drastically prolong the lifetime and vulnerability of confidential or private user data in applicati... View full abstract»

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  • Configuration Policy Extraction for Parameter Settings in Cloud Infrastructure Using UML/OCL Verification

    Publication Year: 2013, Page(s):67 - 74
    Cited by:  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (322 KB) | HTML iconHTML

    To manage cloud computing infrastructures consisting of many servers having a massive number of configuration parameters is quite burdensome for administrators of infrastructures. While some policy-based management approaches have been proposed to maintain the system configuration, it is quite difficult for administrators to define proper configuration policies for parameter settings in large-scal... View full abstract»

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  • MuSIC: Mobility-Aware Optimal Service Allocation in Mobile Cloud Computing

    Publication Year: 2013, Page(s):75 - 82
    Cited by:  Papers (39)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1156 KB) | HTML iconHTML

    This paper exploits the observation that using tiered clouds, i.e. clouds at multiple levels (local and public) can increase the performance and scalability of mobile applications. User Mobility introduces new complexities in enabling an optimal decomposition of tasks that can execute cooperatively on mobile clients and the tiered cloud architecture while considering multiple QoS goals such applic... View full abstract»

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  • A Framework for Implementing Mobile Cloud Services in VANETs

    Publication Year: 2013, Page(s):83 - 90
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (635 KB) | HTML iconHTML

    The strong potentials that exist in Vehicular Ad hoc Networks (VANETs) has given birth to the concept of Vehicular Clouds, in which cloud computing services are hosted by vehicles that have sufficient resources to act as mobile cloud servers. In this paper, we propose a protocol that enables vehicles to search for mobile cloud servers that are moving nearby and discover their services and resource... View full abstract»

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  • Improving the Efficiency of Cloud Infrastructures with Elastic Tandem Machines

    Publication Year: 2013, Page(s):91 - 98
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (363 KB) | HTML iconHTML

    In this paper, we propose a concept for improving the energy efficiency and resource utilization of cloud infrastructures by combining the benefits of heterogeneous machine instances. The basic idea is to integrate low-power system on a chip (SoC) machines and high-power virtual machine instances into so-called Elastic Tandem Machine Instances (ETMI). The low-power machine serves low load and is a... View full abstract»

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  • Minimizing the Operational Cost of Data Centers via Geographical Electricity Price Diversity

    Publication Year: 2013, Page(s):99 - 106
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (270 KB) | HTML iconHTML

    Data centers, serving as infrastructures for cloud services, are growing in both number and scale. However, they usually consume enormous amounts of electric power, which lead to high operational costs of cloud service providers. Reducing the operational cost of data centers thus has been recognized as a main challenge in cloud computing. In this paper we study the minimum operational cost problem... View full abstract»

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  • Exploiting Performance and Cost Diversity in the Cloud

    Publication Year: 2013, Page(s):107 - 114
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (279 KB) | HTML iconHTML

    Infrastructure-as-a-Service (IaaS) platforms, such as Amazon EC2, allow clients access to massive computational power in the form of virtual machines (VMs) known as instances. Amazon hosts three different instance purchasing options, each with its own service level agreement covering availability and pricing. In addition, Amazon offers access to a number of geographical regions, zones, and instanc... View full abstract»

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  • Optimal Pricing and Service Provisioning Strategies in Cloud Systems: A Stackelberg Game Approach

    Publication Year: 2013, Page(s):115 - 122
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (217 KB) | HTML iconHTML

    In this paper we consider several Software as a Service (SaaS) providers, that offer a set of applications using the Cloud facilities provided by an Infrastructure as a Service (IaaS) provider. We assume that the IaaS provider offers a pay only what you use scheme similar to the Amazon EC2 service, comprising flat, on demand, and spot virtual machine instances. We propose a two stage provisioning ... View full abstract»

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