A P2P Network Model Based on Hierarchical Interest Clustering Algorithm

Abstract

A hierarchical clustering P2P network model based on user interest is presented in this paper to improve search efficiency. The routers in the network are abstracted as the activated peer node, and the activated routing table is constructed to depict the character of the interest cluster. The P2P network is divided into different subnets according into their interest character, and the corresponding topological structure is build. The corresponding search strategy is proposed based on the above mention method. The simulation results show that compared with the traditional algorithm the interest cluster method proposed in this paper can form cluster more rapidly, and gain the appropriate resources faster.