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  • 标题:SDS: A Scalable Data Services System in Data Grid
  • 本地全文:下载
  • 作者:Xiaoning Peng ; Bin Huang ; Ping Luo
  • 期刊名称:Computer and Information Science
  • 印刷版ISSN:1913-8989
  • 电子版ISSN:1913-8997
  • 出版年度:2009
  • 卷号:2
  • 期号:2
  • 页码:73
  • DOI:10.5539/cis.v2n2P73
  • 出版社:Canadian Center of Science and Education
  • 摘要:It is very complex and of low efficiency for grid users to access heterogeneous diverse data resources distributed over the whole wide area network. Data Grid has denoted a network of storage resources, from archival systems, to caches, to databases, that are linked across a distributed network. And it should provide integrated, scalable data services which implement more wide range of transparent access to data resources in Data Grid, such as location transparency, time transparency. I n this paper, we describe a SDS system which can implement integrated , scalable data services. We have implemented o ne of the important building blocks for SDS is the server called DSB which can provide integrated data services. The DSB bases on cluster and agent technologies. Agent-based DSB can cleverly prefetch required data, replicate them among DSBs. Each DSB based on cluster implements a single entry and a virtual i ntegrated storage system in a data domain. As far as whole SDS, Multiple DSBs are formed cluster data services, which are scalable, and provide a single entry for all data grid users, and provide a virtual i ntegrated mass storage system, and hide distributed heterogeneous low-level data resources, and insure load balance of each server. SDS architecture supporting these various scenarios, are also described.
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