Lecture Notes in Computer Science
DOI: 10.1007/978-3-540-78646-7_9
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iCluster: A Self-organizing Overlay Network for P2P Information Retrieval

Abstract: Abstract. 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 organizatio… Show more

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Cited by 33 publications
(52 citation statements)
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“…This makes it possible to apply our framework to any kind of unstructured overlay network, by choosing an arbitrary routing strategy for the SUBMITQ message. For instance, our approach could be applied to Gnutella-style networks by adopting flooding as the routing for the SUBMITQ message, or small-world networks [24,20] by adopting interestbased query routing, while leaving the rest of the underlying protocols (e.g., rewiring in the case of small world networks) intact.…”
Section: Discussionmentioning
confidence: 99%
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“…This makes it possible to apply our framework to any kind of unstructured overlay network, by choosing an arbitrary routing strategy for the SUBMITQ message. For instance, our approach could be applied to Gnutella-style networks by adopting flooding as the routing for the SUBMITQ message, or small-world networks [24,20] by adopting interestbased query routing, while leaving the rest of the underlying protocols (e.g., rewiring in the case of small world networks) intact.…”
Section: Discussionmentioning
confidence: 99%
“…Documents were clustered using the incremental k-means algorithm and each cluster was assigned to a single peer to simulate different peer interests. This peer specialisation assumption is common in SONs [6,18,2], and does not restrict our setting since a peer with multiple interests might cluster its documents locally and create one identity for each interest in the spirit of [20]. These interests are then used to build a semantic overlay network according to standard techniques [6,18,2].…”
Section: Methodsmentioning
confidence: 99%
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“…To show proof of concept, we adopt a generic P2P architecture that utilises widely adopted techniques from SONs, such as characterisation of peers by content, peer clustering and link rewiring. In our SON architecture, peers are characterised by documents in the spirit of [8,10,13,14,20,23,25]. Each peer in the network maintains links to other peers with similar content to form clusters.…”
mentioning
confidence: 99%