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iCluster: a self-organizing overlay network for P2P information retrieval

Petrakis Evripidis, Raftopoulou Paraskevh

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URI: http://purl.tuc.gr/dl/dias/52ED5942-D92B-4C3A-BFD9-6611674CAF6C
Year 2008
Type of Item Conference Paper Abstract
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Bibliographic Citation Paraskevi Raftopoulou, Euripides G.M. Petrakis, "iCluster: a Self-Organizing Overlay Network for P2P Information Retrieval", in 30th European Conference on Information Retrieval (ECIR'08), 2008, pp. 65-76. doi: 10.1007/978-3-540-78646-7_9
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Summary

We present iCluster, a self-organizing peer-to-peer overlay network for supporting full-fledged information retrieval in a dynamic environment. iCluster works by organizing peers sharing common interests into clusters and by exploiting clustering information at query time for achieving low network traffic and high recall. We define the criteria for peer similarity and peer selection, and we present the protocols for organizing the peers into clusters and for searching within the clustered organization of peers. iCluster is evaluated on a realistic peer-to-peer environment using real-world data and queries. The results demonstrate significant performance improvements (in terms of clustering efficiency, communication load and retrieval accuracy) over a state-of-the-art peer-to-peer clustering method. Compared to exhaustive search by flooding, iCluster exchanged a small loss in retrieval accuracy for much less message flow.

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