2012 Second International Conference on Cloud and Green Computing

1-3 Nov. 2012

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  • [Cover art]

    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 - xiii
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  • Message from the CGC2012 Chairs

    Publication Year: 2012, Page(s): xiv
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  • CGC2012 Organizing and Program Committees

    Publication Year: 2012, Page(s):xv - xix
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  • Message from the SCA2012 Chairs

    Publication Year: 2012, Page(s): xx
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  • SCA2012 Organizing and Program Committees

    Publication Year: 2012, Page(s):xxi - xxiv
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  • Message from the WMSC2012 Workshop Chairs

    Publication Year: 2012, Page(s): xxv
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  • WMSC2012 Organizing and Program Committees

    Publication Year: 2012, Page(s): xxvi
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  • Message from the PriSecCSN2012 Workshop Chairs

    Publication Year: 2012, Page(s): xxvii
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  • PriSecCSN2012 Organizing and Program Committees

    Publication Year: 2012, Page(s): xxviii
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  • Message from the BigDataMR2012 Workshop Chairs

    Publication Year: 2012, Page(s): xxix
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  • BigDataMR2012 Organizing and Program Committees

    Publication Year: 2012, Page(s): xxx
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  • SNAIDM2012 Organizing and Program Committees

    Publication Year: 2012, Page(s): xxxi
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  • SNAIDM2012 Organizing and Program Committees

    Publication Year: 2012, Page(s): xxxii
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  • Message from the WW2012 Workshop Chairs

    Publication Year: 2012, Page(s): xxxiii
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  • WW2012 Organizing and Program Committees

    Publication Year: 2012, Page(s): xxxiv
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  • Message from the SNSDB2012 Workshop Chairs

    Publication Year: 2012, Page(s): xxxv
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  • SNSDB2012 Organizing and Program Committees

    Publication Year: 2012, Page(s): xxxvi
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  • An Energy Model for Applications Running on Multicore Systems

    Publication Year: 2012, Page(s):1 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (194 KB) | HTML iconHTML

    Researchers and developers use energy models to map out what an application or device's energy usage will be. Application developers most often do not have the capability to manipulate the CPU characteristics that most of these energy models and schedules use as their defining aspect. We present an energy model for multiprocess applications that centers around the CPU utilization, which applicatio... View full abstract»

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  • An Ad-hoc Distributed Reasoning Scheme for Content Centric Networking

    Publication Year: 2012, Page(s):9 - 16
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (250 KB) | HTML iconHTML

    Intelligently discovering knowledge and principles hidden in massive amounts of distributed and dynamic sources is a challenging issue, since the connectivity of sources and mobility of contents are frequent changing. For achieving intelligently discovering knowledge and principles in network environments, it requires a strong adaptive mechanism of distributed reasoning to discover the indirect an... View full abstract»

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  • A General Approach to Service Deployment in Cloud Environments

    Publication Year: 2012, Page(s):17 - 24
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (653 KB) | HTML iconHTML

    The cloud computing landscape has recently developed into a spectrum of cloud architectures, leading to a broad range of management tools for similar operations but specialized for certain deployment scenarios. This both hinders the efficient reuse of algorithmic innovations within cloud management operations and increases the heterogeneity between different management systems. Our overarching goa... View full abstract»

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  • Implementing Smith-Waterman Algorithm with Two-Dimensional Cache on GPUs

    Publication Year: 2012, Page(s):25 - 30
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (215 KB) | HTML iconHTML

    Finding regions of similarity between two data streams is a computational intensive and memory consuming problem, which refers to as sequence alignment for biological sequence. Smith-Waterman algorithm is an optimal method to find the local sequence alignment. It requires a large amount of computation and memory, and is also constrained by the memory access speed when accelerated by using Graphics... View full abstract»

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