首页    期刊浏览 2024年12月05日 星期四
登录注册

文章基本信息

  • 标题:Efficient and Reliable Network Tomography in Heterogeneous Networks Using Bittorrent Broadcasts and Clustering Algorithms
  • 本地全文:下载
  • 作者:Kiril Dichev, Fergal Reid ; Alexey Lastovetsky
  • 期刊名称:Scientific Programming
  • 印刷版ISSN:1058-9244
  • 出版年度:2013
  • 卷号:21
  • DOI:10.3233/SPR-130366
  • 出版社:Hindawi Publishing Corporation
  • 摘要:In the area of network performance and discovery, network tomography focuses on reconstructing network properties using only end-to-end measurements at the application layer. One challenging problem in network tomography is reconstructing available bandwidth along all links during multiple source/multiple destination transmissions. The traditional measurement procedures used for bandwidth tomography are extremely time consuming. We propose a novel solution to this problem. Our method counts the fragments exchanged during a BitTorrent broadcast. While this measurement has a high level of randomness, it can be obtained very efficiently, and aggregated into a reliable metric. This data is then analyzed with state-of-the-art algorithms, which correctly reconstruct logical clusters of nodes interconnected by high bandwidth, as well as bottlenecks between these logical clusters. Our experiments demonstrate that the proposed two-phase approach efficiently solves the presented problem for a number of settings on a complex grid infrastructure.
国家哲学社会科学文献中心版权所有