Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/39680
Title: Adaptive peer-to-peer routing with proximity
Authors: Liau, C.Y. 
Hidayanto, A.N.
Bressan, S. 
Issue Date: 2003
Source: Liau, C.Y.,Hidayanto, A.N.,Bressan, S. (2003). Adaptive peer-to-peer routing with proximity. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2736 : 454-463. ScholarBank@NUS Repository.
Abstract: In this paper, we presented a routing strategy for requests in unstructured peer-to-peer networks. The strategy is based on the adaptive routing Q-routing. The strategy uses reinforcement learning to estimate the cost of routing a request. Such a strategy is scalable only if the routing indices are of reasonable size. We proposed and comparatively evaluated three methods for the pruning for the pruning of the routing indices. Our experiments confirm the validity of the adaptive routing and the scalability of a pruning approach based on a pruning strategy considering the popularity of the resources. © Springer-Verlag Berlin Heidelberg 2003.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/39680
ISSN: 03029743
Appears in Collections:Staff Publications

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