Distributed proximity-aware peer clustering in bittorrent-like peer-to-peer networks

Authors:
Bin Xiao;Jiadi Yu;Zili Shao;Minglu Li
Affiliations:
Department of Computing, The Hong Kong Polytechnic University, Hong Kong;Department of Computing, The Hong Kong Polytechnic University, Hong Kong;Department of Computing, The Hong Kong Polytechnic University, Hong Kong;Department of Computer Science and Engineering, Shanghai Jiao Tong University, China
Venue:
EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing
Year:
2006

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Abstract

In this paper, we propose a hierarchical architecture for grouping peers into clusters in a large-scale BitTorrent-like underlying overlay network in such a way that clusters are evenly distributed and that the peers within are relatively close together. We achieve this by constructing the CBT (Clustered BitTorrent) system with two novel algorithms: a peer joining algorithm and a super-peer selection algorithm. Proximity and distribution are determined by the measurement of distances among peers. Performance evaluations demonstrate that the new architecture achieves better results than a randomly organized BitTorrent network, improving the system scalability and efficiency while retaining the robustness and incentives of original BitTorrent paradigm