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dc.contributor.authorZhao, L.en
dc.contributor.authorWu, J.en
dc.contributor.authorShen, H.en
dc.contributor.authorLi, Y.en
dc.contributor.authorSang, Y.en
dc.identifier.citationProceedings, 13th International Conference on Parallel and Distributed Computing, Applications, and Technologies, PDCAT 2012, 2012 / Shen, H., Sang, Y., Li, Y., Qian, D., Zomaya, A. (ed./s), pp.703-706en
dc.description.abstractChord is a popular and successful topology for Peer-to-Peer (P2P) data sharing. However, the conventional chord is challenged by two main drawbacks. First, it fails to consider the physical topology of the P2P network for designing the lookup solution, which may bring tremendous delay to network routing. Second, its performance of is usually limited by the high space complexity of data storage and thus data retrieval may suffer further network delay. In this work, we propose an improved chord based on Counting Bloom Filter and topology aware lookup to address the drawbacks. We first apply counting Bloom filter for data storage to reduce the space complexity. We then develop a topology-aware lookup mechanism to further speed up the search for local resources. Simulation results show that our improved chord scheme is significantly more efficient than the conventional chord method.en
dc.description.statementofresponsibilityLimin Zhao, Jun Wu, Hong Shen, Yidong Li, Yingpeng Sangen
dc.rights© 2012 IEEEen
dc.subjectP2P; Chord; Counting Bloom Filter; Topologyen
dc.titleAn improved chord based on counting bloom filter and topology-aware lookupen
dc.typeConference paperen
dc.contributor.conference13th International Conference on Parallel and Distributed Computing, Applications, and Technologies (PDCAT 2012) (14 Dec 2012 - 16 Dec 2012 : Beijing, China)en
pubs.library.collectionComputer Science publicationsen
dc.identifier.orcidShen, H. [0000-0002-3663-6591]en
Appears in Collections:Computer Science publications

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