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|dc.identifier.citation||Proceedings, 13th International Conference on Parallel and Distributed Computing, Applications, and Technologies, PDCAT 2012, 2012 / Shen, H., Sang, Y., Li, Y., Qian, D., Zomaya, A.Y. (ed./s), pp.703-706||en|
|dc.description.abstract||Chord 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.statementofresponsibility||Limin Zhao, Jun Wu, Hong Shen, Yidong Li, Yingpeng Sang||en|
|dc.rights||© 2012 IEEE||en|
|dc.subject||P2P; Chord; Counting Bloom Filter; Topology||en|
|dc.title||An improved chord based on counting bloom filter and topology-aware lookup||en|
|dc.contributor.conference||13th International Conference on Parallel and Distributed Computing, Applications, and Technologies (PDCAT 2012) (14 Dec 2012 - 16 Dec 2012 : Beijing, China)||en|
|pubs.library.collection||Computer Science publications||en|
|dc.identifier.orcid||Shen, H. [0000-0002-3663-6591]||en|
|Appears in Collections:||Computer Science publications|
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