A near-optimal algorithm attacking the topology mismatch problem in unstructured peer-to-peer networks

Hung-Chang Hsiao, Hao Liao, Po Shen Yeh

研究成果: Article

6 引文 斯高帕斯(Scopus)

摘要

In an unstructured peer-to-peer (P2P) network (e.g., Gnutella), participating peers choose their neighbors randomly such that the resultant P2P network mismatches its underlying physical network, resulting in the lengthy communication between the peers and redundant network traffics generated in the underlying network. Previous solutions to the topology mismatch problem in the literature either have no performance guarantees or are far from the optimum. In this paper, we propose a novel topology matching algorithm based on the Metropolis-Hastings method. Our proposal is guided by our insight analytical model and is close to the optimal design. Specifically, we show that our proposal constructs an unstructured P2P network in which a broadcast message, originated by any node v, reaches any other node u by taking approximately the only physical end-to-end delay between v and u. In addition, our design guarantees the exponential broadcast scope. We verify our solution through extensive simulations and show that our proposal considerably outperforms state-of-the-art solutions.

原文English
文章編號5313805
頁(從 - 到)983-997
頁數15
期刊IEEE Transactions on Parallel and Distributed Systems
21
發行號7
DOIs
出版狀態Published - 2010 六月 9

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Hardware and Architecture
  • Computational Theory and Mathematics

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