Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/88311
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Type: Conference paper
Title: An improved chord based on counting bloom filter and topology-aware lookup
Author: Zhao, L.
Wu, J.
Shen, H.
Li, Y.
Sang, Y.
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. (ed./s), pp.703-706
Publisher: IEEE
Issue Date: 2012
ISBN: 9780769548791
Conference Name: 13th International Conference on Parallel and Distributed Computing, Applications, and Technologies (PDCAT 2012) (14 Dec 2012 - 16 Dec 2012 : Beijing, China)
Statement of
Responsibility: 
Limin Zhao, Jun Wu, Hong Shen, Yidong Li, Yingpeng Sang
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.
Keywords: P2P; Chord; Counting Bloom Filter; Topology
Rights: © 2012 IEEE
RMID: 0030008039
DOI: 10.1109/PDCAT.2012.49
Appears in Collections:Computer Science publications

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