首页    期刊浏览 2024年11月15日 星期五
登录注册

文章基本信息

  • 标题:a Accessibility for Resource Selection in Large-Scale Distributed Systems
  • 本地全文:下载
  • 作者:B.Anusha ; Pallamreddy VenkataSubbaReddy ; T.V.Sai Krishna
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2011
  • 卷号:2
  • 期号:5
  • 页码:1910-1922
  • 出版社:TechScience Publications
  • 摘要:Large-scale distributed systems provide an attractive scalable infrastructure for network applications. However, the loosely coupled nature of this environment can make data access unpredictable, and in the limit, unavailable. We introduce the notion of accessibility to capture both availability and performance. An increasing number of data-intensive applications require not only considerations of node computation power but also accessibility for adequate job allocations. For instance, selecting a node with intolerably slow connections can offset any benefit to running on a fast node. In this paper, we present accessibility-aware resource selection techniques by which it is possible to choose nodes that will have efficient data access to remote data sources. We show that the local data access observations collected from a node’s neighbors are sufficient to characterize accessibility for that node. By conducting trace-based, synthetic experiments on Planet Lab, we show that the resource selection heuristics guided by this principle significantly outperform conventional techniques such as latency-based or random allocations. The suggested techniques are also shown to be stable even under churn despite the loss of prior observations.
  • 关键词:Data Accessibility; resource selection; passive network performance estimation; data-intensive computing; large-scale;distributed systems.md=(n
国家哲学社会科学文献中心版权所有