SCDN: Stable Content Distribution Network based on demands
Journal of Parallel and Distributed Computing
A scalable multi-attribute range query approach on cluster-based hybrid overlays
MTPP'10 Proceedings of the Second Russia-Taiwan conference on Methods and tools of parallel programming multicomputers
The GOSSPLE anonymous social network
Proceedings of the ACM/IFIP/USENIX 11th International Conference on Middleware
A new search mechanism for unstructured peer-to-peer networks
AICT'11 Proceedings of the 2nd international conference on Applied informatics and computing theory
On the design of semi-structured multi-star hybrid-overlays for multi-attribute range queries
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Adaptive service node placements in P2P-like architectures
ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science
State-based search strategy in unstructured P2P
Future Generation Computer Systems
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Peer-to-Peer (P2P) networks establish loosely-coupled application-level overlays on top of the Internet to facilitate efficient sharing of resources. They can be roughly classified as either structured or unstructured networks. Without stringent constraints over the network topology, unstructured P2P networks can be constructed very efficiently and are therefore considered suitable to the Internet environment. However, the random search strategies adopted by these networks usually perform poorly with large network size. In this paper, we seek to enhance the search performance in unstructured P2P networks through exploiting users' common interest patterns captured within a probability-theoretic framework termed the user interest model (UIM). A search protocol and a routing table updating protocol are further proposed in order to expedite the search process through self-organizing the P2P network into a small world. Both theoretical and experimental analysis are conducted and demonstrated the effectiveness and efficiency of our approach.