Proceedings of the 16th International Conference on Supercomputing - ICS '02 2002
DOI: 10.1145/514203.514206
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Search and replication in unstructured peer-to-peer networks

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Cited by 305 publications
(462 citation statements)
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“…In those systems, peers are interconnected in an ad-hoc pattern, and queries are flooded in P2P overlays. To make Gnutella-like networks scalable, a random walk based search algorithm [12] is introduced. GIA [6] modifies the k-walker algorithms and includes flow control, dynamic topology adaptation, and one-hop replication to handle the problem of nodes' heterogeneity.…”
Section: Related Workmentioning
confidence: 99%
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“…In those systems, peers are interconnected in an ad-hoc pattern, and queries are flooded in P2P overlays. To make Gnutella-like networks scalable, a random walk based search algorithm [12] is introduced. GIA [6] modifies the k-walker algorithms and includes flow control, dynamic topology adaptation, and one-hop replication to handle the problem of nodes' heterogeneity.…”
Section: Related Workmentioning
confidence: 99%
“…For any node, suppose current time is t, the popularity value for item i that the node has held is p i (t 0 ) with a timestamp t 0 , where t 0 < t, it adjusts p i (t 0 ) into p i (t) by using Eq. (12). If p i (t) exceeds the threshold T f , the query will be flooded.…”
Section: Search Selectionmentioning
confidence: 99%
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“…Next, an intra-cluster flood mechanism is used to further propagate the query within the cluster. Although, we implement only the intra-cluster flood mechanism, the TMO system can also use other search mechanisms, such as Random Walks [11] or Gossip [12], to propagate queries within a cluster.…”
Section: Select the Directly Probed Clustersmentioning
confidence: 99%
“…Peers in p2p networks are connected among themselves by some logical links forming an overlay above the physical network [3]. It has been found that these overlay networks, consisting of a large amount of peers, are analogous to complex real world networks and can be modelled using various types of random graphs [4].…”
Section: Introductionmentioning
confidence: 99%