An interest group model for content location in peer-to-peer systems

Abstract

Intuitively, the peers who share common interests tend to have a high probability of connecting to each other and sharing the resources. In this paper, we use the probabilistic decision tree to represent user's interests. Based on the interest probabilistic decision tree, we use an interest group model to organize the peers with common interests into one group. When using our algorithm, a significant amount of flooding can be avoided so as to make the unstructured peer-to-peer network a more competitive solution. The extensive simulation results show the effectiveness of the proposed model in a peer-to-peer system