• DocumentCode
    3290552
  • Title

    An New Data Parallelism Approach with High Performace Clouds

  • Author

    Bingxiang, Gui ; Hongcai, Feng

  • Author_Institution
    Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ., Wuhan, China
  • fYear
    2009
  • fDate
    16-17 May 2009
  • Firstpage
    713
  • Lastpage
    716
  • Abstract
    This paper presents a new high performance cloud framework that support simplified data parallel applications. and describes the design and implementation of it. This cloud implements stream processing paradigm over clusters of computers, either within single data center or across wide area. Unlike MapReduce, this Cloudpsilas stream processing paradigm is simpler, more straightforward, and reaches better performance in certain cases. The experimental results show this cloud is more straightforward, simpler to use, and it is about twice as fast as Hadoop.
  • Keywords
    parallel processing; workstation clusters; Hadoop; data parallelism; high performance clouds; stream processing; Application software; Cloud computing; Computer networks; Concurrent computing; Data engineering; Distributed computing; File systems; High performance computing; Parallel processing; Scattering; compute cloud; distributed data application; high performace cloud; storage cloud;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3614-9
  • Type

    conf

  • DOI
    10.1109/PACCS.2009.162
  • Filename
    5232425