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2006
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Density-Based Clustering for Similarity Search in a P2P Network

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Density-Based Clustering for Similarity Search in a P2P Network
P2P systems represent a large portion of the Internet traffic which makes the data discovery of great importance to the user and the broad Internet community. Hence, the power of a P2P system comes from its ability to provide an efficient search service. In this paper we address the problem of similarity search in a Hybrid Overlay P2P Network which organizes data and peers in a high dimensional feature space. Data and peers are described by a set of features and clustered using a density-based algorithm. We experimentally evaluate the effectiveness of the similarity-search using uniform and zipf data distribution.
Mouna Kacimi, Kokou Yétongnon
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where CCGRID
Authors Mouna Kacimi, Kokou Yétongnon
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