Reliable Self-Clustering P2P Overlay Networks

Peer-to-peer overlay networks offer a flexible architecture for decentralized data sharing. In this paper, we present a novel approach to improve the search efficiency and scalability of P2P overlay networks by clustering P2P nodes with reliable mechanism. In our method, the reliability of the overlay is formed by evaluating the level of trust using Bayesian statistic analysis, and clusters can be formed and maintained autonomously by P2P nodes with only partial knowledge. Simulation and experimental results indicate the usefulness of this approach.