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  • 标题:Research on the Architecture of Data-Intensive Computing Platform
  • 本地全文:下载
  • 作者:Ke Hou ; Jing Zhang ; Xing Fang
  • 期刊名称:Journal of Software Engineering
  • 印刷版ISSN:1819-4311
  • 电子版ISSN:2152-0941
  • 出版年度:2015
  • 卷号:9
  • 期号:3
  • 页码:686-701
  • DOI:10.3923/jse.2015.686.701
  • 出版社:Academic Journals Inc., USA
  • 摘要:Data-Intensive Computing (DIC) is a kind of parallel computing which is specific to massive, distributed, heterogeneous and changing dataset processing. The architecture of DIC platform is a set of multiple abstract models, these models describes the function compositions, characteristics, coupling relationships, interaction ways and application scope of each layer in DIC platform. This article studies the architecture of DIC platform. Firstly, the architecture of related parallel computing platform is reviewed. Secondly, the design requirements of DIC platform are analyzed, the integrated research method of DIC is discussed and then an architecture of DIC platform with seven layers is provided. Finally, in order to verify its feasibility and effectiveness, a simple prototype system is implemented to support mass image data parallel processing. Compared with serial processing mode, the prototype system can obtain higher speed-up.
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