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2012 IEEE Fifth International Conference on Cloud Computing

24-29 June 2012

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Displaying Results 1 - 25 of 151
  • CLOUD 2012: 2012 IEEE 5th International Conference on Cloud Computing [Cover art]

    Publication Year: 2012, Page(s): C4
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  • Proceedings: 2012 ieee 5th international conference on cloud computing [title page i]

    Publication Year: 2012, Page(s): i
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  • Proceedings: 2012 IEEE 5th International Conference on Cloud Computing [Title page iii]

    Publication Year: 2012, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2012, Page(s): iv
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  • 2012 ieee fifth international conference on cloud computing cloud 2012 - table of contents

    Publication Year: 2012, Page(s):v - xviii
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  • Message from the CLOUD 2012 General Chairs and Program Chairs

    Publication Year: 2012, Page(s): xix
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  • Organizing Committee

    Publication Year: 2012, Page(s):xx - xxi
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  • Program Committee

    Publication Year: 2012, Page(s):xxii - xxiv
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  • External Reviewers

    Publication Year: 2012, Page(s): xxv
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  • IEEE Computer Society Technical Committee on Services Computing

    Publication Year: 2012, Page(s): xxvi
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  • MROrchestrator: A Fine-Grained Resource Orchestration Framework for MapReduce Clusters

    Publication Year: 2012, Page(s):1 - 8
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB) | HTML iconHTML

    Efficient resource management in data centers and clouds running large distributed data processing frameworks like MapReduce is crucial for enhancing the performance of hosted applications and increasing resource utilization. However, existing resource scheduling schemes in Hadoop MapReduce allocate resources at the granularity of fixed-size, static portions of nodes, called slots. In this work, w... View full abstract»

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  • A General and Practical Datacenter Selection Framework for Cloud Services

    Publication Year: 2012, Page(s):9 - 16
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (515 KB) | HTML iconHTML

    Many cloud services nowadays are running on top of geographically distributed infrastructures for better reliability and performance. They need an effective way to direct the user requests to a suitable data center, depending on factors including performance, cost, etc. Previous work focused on efficiency and invariably considered the simple objective of maximizing aggregated utility. These approa... View full abstract»

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  • A Profit-Aware Virtual Machine Deployment Optimization Framework for Cloud Platform Providers

    Publication Year: 2012, Page(s):17 - 24
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (483 KB) | HTML iconHTML

    As a rising application paradigm, cloud computing enables the resources to be virtualized and shared among applications. In a typical cloud computing scenario, customers, Service Providers (SP), and Platform Providers (PP) are independent participants, and they have their own objectives with different revenues and costs. From PPs' viewpoints, much research work reduced the costs by optimizing VM p... View full abstract»

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  • Biting Off Safely More Than You Can Chew: Predictive Analytics for Resource Over-Commit in IaaS Cloud

    Publication Year: 2012, Page(s):25 - 32
    Cited by:  Papers (12)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (487 KB) | HTML iconHTML

    Cloud service providers are constantly looking for ways to increase revenue and reduce costs either by reducing capacity requirements or by supporting more users without adding capacity. Over-commit of physical resources, without adding more capacity, is one such approach. Workloads that tend to be 'peaky' are especially attractive targets for over-commit since only occasionally such workloads use... View full abstract»

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  • WIQ: Work-Intensive Query Scheduling for In-Memory Database Systems

    Publication Year: 2012, Page(s):33 - 40
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (426 KB) | HTML iconHTML

    We propose a novel admission control policy for database queries. Our methodology uses system measurements of CPU utilization and query backlogs to determine interference between queries in execution on the same database server. Query interference may arise due to the concurrent access of hardware and software resources and can affect performance in positive and negative ways. Specifically our adm... View full abstract»

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  • Admission Control for Elastic Cloud Services

    Publication Year: 2012, Page(s):41 - 48
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB) | HTML iconHTML

    This paper presents an admission control test for deciding whether or not it is worth to admit a set of services into a Cloud, and in case of acceptance, obtain the optimum allocation for each of the components that comprise the services. In the proposed model, the focus is on hosting elastic services the resource requirements of which may dynamically grow and shrink, depending on the dynamically ... View full abstract»

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  • Center-of-Gravity Reduce Task Scheduling to Lower MapReduce Network Traffic

    Publication Year: 2012, Page(s):49 - 58
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1325 KB) | HTML iconHTML

    MapReduce is by far one of the most successful realizations of large-scale data-intensive cloud computing platforms. MapReduce automatically parallelizes computation by running multiple map and/or reduce tasks over distributed data across multiple machines. Hadoop is an open source implementation of MapReduce. When Hadoop schedules reduce tasks, it neither exploits data locality nor addresses part... View full abstract»

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  • Efficient Map/Reduce-Based DBSCAN Algorithm with Optimized Data Partition

    Publication Year: 2012, Page(s):59 - 66
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (787 KB) | HTML iconHTML

    DBSCAN is a well-known algorithm for density-based clustering because it can identify the groups of arbitrary shapes and deal with noisy datasets. However, with the increasing amount of data, DBSCAN algorithm running on a single machine has to face the scalability problem. In this paper, we propose a Map/Reduce-based DBSCAN algorithm called DBSCAN-MR to solve the scalability problem. In DBSCAN-MR,... View full abstract»

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  • Evaluating Hadoop for Data-Intensive Scientific Operations

    Publication Year: 2012, Page(s):67 - 74
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1561 KB) | HTML iconHTML

    Emerging sensor networks, more capable instruments, and ever increasing simulation scales are generating data at a rate that exceeds our ability to effectively manage, curate, analyze, and share it. Data-intensive computing is expected to revolutionize the next-generation software stack. Hadoop, an open source implementation of the MapReduce model provides a way for large data volumes to be seamle... View full abstract»

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  • Optimal Bids for Spot VMs in a Cloud for Deadline Constrained Jobs

    Publication Year: 2012, Page(s):75 - 82
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (542 KB) | HTML iconHTML

    Spot virtual-machine (VM) instances, such as Amazon EC2 Spot VMs, are a class of VMs that are purchased through a market mechanism of price-bids submitted by cloud users. Spot VMs can be obtained at substantially lower cost than other VM classes such as Reserved and On-demand instances, but they do not have guaranteed availability since it depends on the submitted price bids and the fluctuating sp... View full abstract»

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  • Maximizing Cloud Provider Profit from Equilibrium Price Auctions

    Publication Year: 2012, Page(s):83 - 90
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB) | HTML iconHTML

    Auctioning constitutes a market-driven scheme for the allocation of cloud-based computing capacities. It is practically applied today in the context of Infrastructure as a Service offers, specifically, virtual machines. However, the maximization of auction profits poses a challenging task for the cloud provider, because it involves the concurrent determination of equilibrium prices and distributio... View full abstract»

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  • Towards Optimal Bidding Strategy for Amazon EC2 Cloud Spot Instance

    Publication Year: 2012, Page(s):91 - 98
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1804 KB) | HTML iconHTML

    With the recent introduction of Spot Instances in the Amazon Elastic Compute Cloud (EC2), users can bid for resources and thus control the balance of reliability versus monetary costs. Mechanisms and tools that deal with the cost-reliability trade-offs under this schema are of great value for users seeking to lessen their costs while maintaining high reliability. In this paper, we propose a set of... View full abstract»

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  • Attribution of Fraudulent Resource Consumption in the Cloud

    Publication Year: 2012, Page(s):99 - 106
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (385 KB) | HTML iconHTML

    Obligated by a utility pricing model, Internet-facing web resources hosted in the public cloud are vulnerable to Fraudulent Resource Consumption (FRC) attacks. Unlike an application-layer DDoS attack that consumes resources with the goal of disrupting short-term availability, an FRC attack is a considerably more subtle attack that instead seeks to disrupt the long-term financial viability of opera... View full abstract»

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  • GARDEN: Generic Addressing and Routing for Data Center Networks

    Publication Year: 2012, Page(s):107 - 114
    Cited by:  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (422 KB) | HTML iconHTML

    Data centers often hold tens to hundreds of thousands of servers in order to offer cloud computing services at scale. Ethernet switching and IP routing have their own advantages and limitations in building data center networks. Recent research, such as PortLand and BCube, has proposed scalable data center network designs. A common feature of these designs is that their addressing and routing are c... View full abstract»

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  • Expertus: A Generator Approach to Automate Performance Testing in IaaS Clouds

    Publication Year: 2012, Page(s):115 - 122
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (459 KB) | HTML iconHTML

    Cloud computing is an emerging technology paradigm that revolutionizes the computing landscape by providing on-demand delivery of software, platform, and infrastructure over the Internet. Yet, architecting, deploying, and configuring enterprise applications to run well on modern clouds remains a challenge due to associated complexities and non-trivial implications. The natural and presumably unbia... View full abstract»

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