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  • 标题:Object Grouping and Replication Algorithms for Word Wide Web
  • 本地全文:下载
  • 作者:A. Mahmood
  • 期刊名称:Informatica
  • 印刷版ISSN:1514-8327
  • 电子版ISSN:1854-3871
  • 出版年度:2005
  • 卷号:29
  • 期号:3
  • 出版社:The Slovene Society Informatika, Ljubljana
  • 摘要:This paper presents an algorithm to group correlated objects that are most likely to be requested by a client in a single session. Based on these groups, a centralized algorithm that determines the placements of objects to a cluster of web-servers is proposed to minimize latency. Due to the dynamic nature of the Internet traffic and the rapid changes in the access pattern of the World-Wide Web, we also propose a distributed algorithm where each site relies on some collected information to decide what object should be replicated at that site. The performance of the proposed algorithms is evaluated through a simulation study.
  • 关键词:Data mining; document clustering; object replication; Web; distributed web-server system; document;replication.
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