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2011 31st International Conference on Distributed Computing Systems Workshops

Date 20-24 June 2011

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  • [Front cover]

    Publication Year: 2011, Page(s): C1
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  • [Title page i]

    Publication Year: 2011, Page(s): i
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  • [Title page iii]

    Publication Year: 2011, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2011, Page(s): iv
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  • Table of contents

    Publication Year: 2011, Page(s):v - x
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  • Message from the Workshops Co-Chairs

    Publication Year: 2011, Page(s): xi
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  • Message from the DCperf 2011 Workshop Organizers

    Publication Year: 2011, Page(s): xii
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  • DCperf 2011 Committee Members

    Publication Year: 2011, Page(s):xiii - xiv
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  • Message from the SAHNS 2011 Chair

    Publication Year: 2011, Page(s):xv - xvi
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  • SAHNS 2011 Committees

    Publication Year: 2011, Page(s):xvii - xviii
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  • Message from SIMPLEX'11 Workshop Program Committee Chairs

    Publication Year: 2011, Page(s): xix
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  • SIMPLEX'11 Committee Members

    Publication Year: 2011, Page(s): xx
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  • Message from the SN 2011 Chairs

    Publication Year: 2011, Page(s): xxi
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  • SN 2011 Organizing Committee and Reviewers

    Publication Year: 2011, Page(s):xxii - xxiii
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  • Message from ICDCS-SPCC 2011 Workshop Program Co-chairs

    Publication Year: 2011, Page(s): xxiv
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  • ICDCS-SPCC 2011 Committees

    Publication Year: 2011, Page(s): xxv
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  • Message from the WWASN 2011 Chairs

    Publication Year: 2011, Page(s): xxvi
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  • WWASN 2011 Organizing Committee

    Publication Year: 2011, Page(s): xxvii
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  • Maximizing Profit in Cloud Computing System via Resource Allocation

    Publication Year: 2011, Page(s):1 - 6
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (458 KB) | HTML iconHTML

    With increasing demand for high performance computing and data storage, distributed computing systems have attracted a lot of attention. Resource allocation is one of the most important challenges in the distributed systems specially when the clients have some Service Level Agreements (SLAs) and the total profit in the system depends on how the system can meet these SLAs. In this paper, an SLA-bas... View full abstract»

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  • Multi-dimensional Resource Integrated Scheduling in a Shared Data Center

    Publication Year: 2011, Page(s):7 - 13
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1711 KB) | HTML iconHTML

    Resource scheduling is crucial to data centers. However, most existing resource scheduling algorithms focus only on one-dimensional resource models, ignoring the fact that multiple resources (e.g. CPU, memory, storage, and network bandwidth) are consumed simultaneously. Competition for multiple resources has become increasingly severe as cloud computing allows uncoordinated and heterogeneous users... View full abstract»

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  • Exploiting Resource Usage Patterns for Better Utilization Prediction

    Publication Year: 2011, Page(s):14 - 19
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (417 KB) | HTML iconHTML

    Understanding the resource utilization in computing clouds is critical for efficient resource planning and better operational performance. In this paper, we propose two ways, from microscopic and macroscopic perspectives, to predict the resource consumption for data centers by statistically characterizing resource usage patterns. The first approach focuses on the usage prediction for a specific no... View full abstract»

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  • Improving Fairness of Quantized Congestion Notification for Data Center Ethernet Networks

    Publication Year: 2011, Page(s):20 - 25
    Cited by:  Papers (3)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1795 KB) | HTML iconHTML

    In large-scale data centers, two types of network are implemented: local area networks (LANs) and storage area networks (SANs). To achieve simple network management, integration of these two networks by Ethernet technology is of great interest. A SAN requires a significantly low frame loss rate. To integrate LANs and SANs, a multi-hop Ethernet configuration is generally used, and congestion may oc... View full abstract»

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  • A Probabilistic Approach to Address TCP Incast in Data Center Networks

    Publication Year: 2011, Page(s):26 - 33
    Cited by:  Papers (2)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (684 KB) | HTML iconHTML

    Data centers typically host tens of thousands of servers that communicate with each other using high speed network interconnects. While these servers help in servicing millions of clients, their overall performance largely depends on the efficiency of the center's communication fabric. Cost and compatibility reasons however, persuade many data centers to consider Ethernet for their baseline commun... View full abstract»

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  • A Model of Storage I/O Performance Interference in Virtualized Systems

    Publication Year: 2011, Page(s):34 - 39
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (790 KB) | HTML iconHTML

    In this paper, we propose simple performance models to predict the impact of consolidation on the storage I/O performance of virtualized applications. We use a measurement-based approach based on tools such as blktrace and tshark for storage workload characterization in a commercial virtualized solution, namely VMware ESX server. Our approach allows a distinct characterization of read/write perfor... View full abstract»

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  • The Edge of Smartness

    Publication Year: 2011, Page(s):40 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (276 KB) | HTML iconHTML

    This paper argues the need for "smart edge" devices to enhance the performance, functionality, and security of data center networks. Three examples, drawn primarily from the prior networking literature, are used to illustrate this point. The first example is the TCP in-cast problem, wherein highly concurrent TCP flows traverse a limited-buffer LAN switch, degrading system throughput. The second ex... View full abstract»

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