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2012 IEEE International Conference on Cluster Computing Workshops

24-28 Sept. 2012

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Displaying Results 1 - 25 of 44
  • [Front and back cover]

    Publication Year: 2012, Page(s): C4
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  • [Title page i]

    Publication Year: 2012, Page(s): i
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  • [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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  • Table of contents

    Publication Year: 2012, Page(s):v - vii
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  • Message from the Cluster 2012 Workshop Chairs

    Publication Year: 2012, Page(s): viii
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  • Message from the IASDS 2012 Workshop Co-Organizers

    Publication Year: 2012, Page(s): ix
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  • IASDS 2012 Program Committee

    Publication Year: 2012, Page(s): x
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  • Message from the PQoSCom 2012 Workshop Organizers

    Publication Year: 2012, Page(s): xi
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  • PQoSCom 2012 Workshop Committee

    Publication Year: 2012, Page(s): xii
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  • Message from the IWPAPS 2012 Workshop Chairs

    Publication Year: 2012, Page(s): xiii
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  • IWPAPS 2012 Program Committee Members

    Publication Year: 2012, Page(s): xiv
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  • Fast Approximate Matching of Astronomical Objects

    Publication Year: 2012, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (217 KB) | HTML iconHTML

    When astronomers analyze sky images, they need to identify the newly observed celestial objects in the catalog of known objects. We have developed a technique for indexing catalogs, which supports fast retrieval of closely matching catalog objects for every object in new images. It allows processing of a sky image in less than a second, and it scales to catalogs with billions of objects. View full abstract»

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  • Modeling Parallel Scientific Applications through their Input/Output Phases

    Publication Year: 2012, Page(s):7 - 15
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1115 KB) | HTML iconHTML

    The increase in computational power in processing units and the complexity of scientific applications that use high performance computing require more efficient Input/Output (I/O) systems. To use the I/O systems more efficiently it is necessary to know its performance capacity to determine if it fulfills applications' I/O requirements. Evaluating the I/O system performance capacity is difficult du... View full abstract»

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  • One Phase Commit: A Low Overhead Atomic Commitment Protocol for Scalable Metadata Services

    Publication Year: 2012, Page(s):16 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (289 KB) | HTML iconHTML

    As the number of client machines in high end computing clusters increases, the file system cannot keep up with the resulting volume of requests, using a centralized metadata server. This problem will be even more prominent with the advent of the exascale computing age. In this context, the centralized metadata server represents a bottleneck for the scaling of the file system performance as well as... View full abstract»

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  • Substituting Disk Failure Avoidance for Redundancy in Wide Area Fault Tolerant Storage Systems

    Publication Year: 2012, Page(s):25 - 31
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (174 KB) | HTML iconHTML

    The primary mechanism for overcoming faults in modern storage systems is to introduce redundancy in the form of replication and/or error correcting codes. The costs of such redundancy in hardware, system availability and overall complexity can be substantial, depending on the number and pattern of faults that are handled. In this paper, we describe a system that seeks to use disk failure avoidance... View full abstract»

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  • ERMS: An Elastic Replication Management System for HDFS

    Publication Year: 2012, Page(s):32 - 40
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (341 KB) | HTML iconHTML

    The Hadoop Distributed File System (HDFS) is a distributed storage system that stores large-scale data sets reliably and streams those data sets to applications at high bandwidth. HDFS provides high performance, reliability and availability by replicating data, typically three copies of every data. The data in HDFS changes in popularity over time. To get better performance and higher disk utilizat... View full abstract»

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  • A Novel Scalable Architecture of Cloud Storage System for Small Files Based on P2P

    Publication Year: 2012, Page(s):41 - 47
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (382 KB) | HTML iconHTML

    Scalability and Latency are the two important performance indicators for the distributed file system, and Google and Apache have achieved a great success with GFS and HDFS when operating big files, but the latency is too long when reading and writing small-size files, because the concurrent I/O can't work for small files, besides the master node is difficult to extend in the cloud storage system w... View full abstract»

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  • Sedna: A Memory Based Key-Value Storage System for Realtime Processing in Cloud

    Publication Year: 2012, Page(s):48 - 56
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (914 KB) | HTML iconHTML

    Comparing with the traditional disk based distributed storage system, RAM based storage has been proven to be an effective way to accelerate real time applications processing speed. In this paper, we propose a memory based distributed Cloud storage system called Sedna. Managing 'big data' across lots of commodity servers, Sedna provides high scalability, simple effective data access APIs with data... View full abstract»

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  • Optimizing Energy Consumption for Time-Constraint Data Query in Wireless Environment

    Publication Year: 2012, Page(s):57 - 64
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (313 KB) | HTML iconHTML

    To cope with time-constraint data query in an energy-efficient manner, mechanisms on joint optimization of expense and energy for mobile clients in wireless environments should be provided. We present an intelligent wireless data access scheme called EPGA to address the issue of energy and expense optimization based on public goods auction, in which the shared data items among the mobile clients a... View full abstract»

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  • DTS: Using Dynamic Time-Slice Scaling to Address the OS Problem Incurred by DVFS

    Publication Year: 2012, Page(s):65 - 72
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (310 KB) | HTML iconHTML

    Dynamic voltage and frequency scaling (DVFS) has been the most useful technology to reduce power consumption, but it causes unpredictable program performance decreasing and unfair performance sharing among threads, which may render performance analysis, optimization, and isolation extremely difficult and lead to thread starvation and priority inversion. This paper firstly proposes an OS scheduler ... View full abstract»

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  • System Level Power Characterization of Multi-core Computers with Dynamic Frequency Scaling Support

    Publication Year: 2012, Page(s):73 - 79
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1480 KB) | HTML iconHTML

    Multi-core architecture has become prominent in modern processors including personal computers, large scale server systems and embedded systems. While multi core processors provide higher computing performance, they have higher power density and also consume more energy than traditional single core processors. Therefore, Dynamic Frequency Scaling (DFS) is mostly implemented in multi-core processor... View full abstract»

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  • Predictive Data and Energy Management under Budget

    Publication Year: 2012, Page(s):80 - 87
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (402 KB) | HTML iconHTML

    Power reducing in clusters has become increasingly important over the past few years. People have tried hard to reduce the power consumption of clusters. However, managing the power is more important than reducing the power. In this paper, we add power consumption to the list of managed resources and help developers to understand and control power profile of their clusters. MapReduce is an efficie... View full abstract»

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  • Secure Networking for Virtual Machines in the Cloud

    Publication Year: 2012, Page(s):88 - 96
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (194 KB) | HTML iconHTML

    Cloud computing improves utilization and flexibility of allocating computing resources while reducing the infrastructural costs. However, cloud technology is still proprietary in many cases and is tainted by security issues rooted in the multi-tenant environment of the cloud. For instance, the virtual machines of two competing companies could be served by the same underlying host machine in an Inf... View full abstract»

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  • Virtual Machine Proactive Scaling in Cloud Systems

    Publication Year: 2012, Page(s):97 - 105
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (375 KB) | HTML iconHTML

    Although the investment in Cloud Computing incredibly grows in the last few years, the offered technologies for dynamic scaling in Cloud Systems don't satisfy neither nowadays fluky applications (i.e. social networks, web hosting, content delivery) that exploit the power of the Cloud, nor the energy challenges caused by its data-centers. In this work we propose a proactive model based on an applic... View full abstract»

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