Peer-to-Peer: Harnessing the Power of Disruptive Technologies
Peer-to-Peer: Harnessing the Power of Disruptive Technologies
A local search mechanism for peer-to-peer networks
Proceedings of the eleventh international conference on Information and knowledge management
Routing Indices For Peer-to-Peer Systems
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Improving Search in Peer-to-Peer Networks
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Epidemic-Style Proactive Aggregation in Large Overlay Networks
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
A Robust Protocol for Building Superpeer Overlay Topologies
P2P '04 Proceedings of the Fourth International Conference on Peer-to-Peer Computing
Social Networks in Peer-to-Peer Systems
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07
Adding structure to unstructured peer-to-peer networks: the use of small-world graphs
Journal of Parallel and Distributed Computing
A Distributed Approach to Node Clustering in Decentralized Peer-to-Peer Networks
IEEE Transactions on Parallel and Distributed Systems
Rewiring strategies for semantic overlay networks
Distributed and Parallel Databases
The ESTEEM platform: enabling P2P semantic collaboration through emerging collective knowledge
Journal of Intelligent Information Systems
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The social behavior of peers in peer-to-peer network can be inferred from the observable factors of the system and its components as it is created, lives and evolves. Following a social metaphor, it should be possible to use the observation of these behaviors to organize the network of peers for purposes as various as improving the retrieval performance, efficiently managing storage, improving robustness and increasing security, for instance. In order to concretely illustrate this idea and to precisely quantify its benefits in a concrete scenario, we consider the important example of the improvement of retrieval performance. We propose an unstructured peer-to-peer architecture in which the system, adaptively and in a decentralized manner, learns the expertise and interest of peers, and dynamically re-organizes itself by creating efficient communities (groups) of peers.