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Performance Evaluation
Volume 63, Issue 3, March 2006, Pages 195-216
P2P Computing Systems
 
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doi:10.1016/j.peva.2005.01.004    
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Copyright © 2005 Elsevier B.V. All rights reserved.

Cycloid: A constant-degree and lookup-efficient P2P overlay network

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Haiying Shena, E-mail The Corresponding Author, Cheng-Zhong Xua, Corresponding Author Contact Information, E-mail The Corresponding Author and Guihai Chenb, E-mail The Corresponding Author

aDepartment of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202, USA

bState Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China


Available online 26 February 2005.

Abstract

There are many structured P2P systems that use DHT technologies to map data items onto the nodes in various ways for scalable routing and location. Most of the systems require O(logn) hops per lookup request with O(logn) neighbors per node, where n is the network size. In this paper, we present a constant-degree P2P architecture, namely Cycloid, which emulates a cube-connected cycles (CCC) graph in the routing of lookup requests. It achieves a time complexity of O(d) per lookup request by using O(1) neighbors per node, where n=d×2d. We compare Cycloid with other two constant-degree systems, Viceroy and Koorde in various architectural aspects via simulation. Simulation results show that Cycloid has more advantages for large scale and dynamic systems that have frequent node arrivals and departures. In particular, Cycloid delivers a higher location efficiency in the average case and exhibits a more balanced distribution of keys and query loads between the nodes.

Keywords: Cycloid; Peer-to-peer; Viceroy; Koorde; Distributed hash table; Constant-degree DHT

Article Outline

1. Introduction
2. Related work
2.1. Hypercube-based
2.2. Ring-based
2.3. Mesh-based
2.4. Constant-degree DHTs
3. Cycloid: a constant-degree DHT
3.1. CCC and key assignment
3.2. Cycloid routing algorithm
3.3. Self-organization
3.3.1. Node join
3.3.2. Node departure
3.3.3. Fault tolerance
4. Cycloid performance evaluation
4.1. Key location efficiency
4.2. Load balance
4.3. Simultaneous node failures/departures
4.4. Lookups during node joining and leaving
4.5. Impact of network sparsity in the ID space
5. Conclusions
Acknowledgements
References
Vitae















Corresponding Author Contact InformationCorresponding author. Tel.: +1 313 577 3856; fax: +1 313 578 5853.

Performance Evaluation
Volume 63, Issue 3, March 2006, Pages 195-216
P2P Computing Systems
 
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