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Construction of Peer-to-Peer Systems for Knowledge Resource Distribution Using Overlay Clustering of Similar Peers
Huijun Li, Samir Ibradzic, Xiao Shao, Takehiro Tokuda
113 - 122
10.3233/978-1-58603-957-8-113
Frontiers in Artificial Intelligence and Applications
Volume 190: Information Modelling and Knowledge Bases XX
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.

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