Resource discovery in locality-aware group-based semantic overlay of peer-to-peer networks
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
An adaptive group-based reputation system in peer-to-peer networks
WINE'05 Proceedings of the First international conference on Internet and Network Economics
P2P group management systems: A conceptual analysis
ACM Computing Surveys (CSUR)
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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 users 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.