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Adaptive probabilistic search for peer-to-peer networks | IEEE Conference Publication | IEEE Xplore

Adaptive probabilistic search for peer-to-peer networks


Abstract:

Peer-to-peer networks are gaining increasing attention from both the scientific and the large Internet user community. Popular applications utilizing this new technology ...Show More

Abstract:

Peer-to-peer networks are gaining increasing attention from both the scientific and the large Internet user community. Popular applications utilizing this new technology offer many attractive features to a growing number of users. At the heart of such networks lies the search algorithm. Proposed methods either depend on the network-disastrous flooding and its variations or utilize various indices too expensive to maintain. We describe an adaptive, bandwidth-efficient algorithm for search in unstructured peer-to-peer networks, the adaptive probabilistic search method (APS). Our scheme utilizes feedback from previous searches to probabilistically guide future ones. It performs efficient object discovery while inducing zero overhead over dynamic network operations. Extensive simulation results show that APS achieves high success rates, increased number of discovered objects, very low bandwidth consumption and adaptation to changing topologies.
Date of Conference: 01-03 September 2003
Date Added to IEEE Xplore: 15 September 2003
Print ISBN:0-7695-2023-5
Conference Location: Linköping, Sweden

References

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