Construction of Peer-to-Peer Systems for Knowledge Resource Distribution Using Overlay Clustering of Similar Peers

Authors:
Huijun Li;Samir Ibradzic;Xiao Shao;Takehiro Tokuda
Affiliations:
Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo 152-8552, Japan, {lhj, samir, shao, tokuda}@tt.cs.titech.ac.jp;Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo 152-8552, Japan, {lhj, samir, shao, tokuda}@tt.cs.titech.ac.jp;Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo 152-8552, Japan, {lhj, samir, shao, tokuda}@tt.cs.titech.ac.jp;Department of Computer Science, Tokyo Institute of Technology, Meguro, Tokyo 152-8552, Japan, {lhj, samir, shao, tokuda}@tt.cs.titech.ac.jp
Venue:
Proceedings of the 2009 conference on Information Modelling and Knowledge Bases XX
Year:
2009

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Abstract

Peer-to-Peer (P2P) systems have been attractive solutions for resource distribution and sharing because of their self-organizing and fault-tolerant features. However, due to the decentralized nature, search efficiency is a challenging problem for large scale knowledge resource distribution P2P systems. In this paper, peer-similarity based P2P overlay clustering algorithm is proposed. Simulation results show that search efficiency using overlay clustering of similar peers is substantially improved.