2007 6th International Conference on Computer Information Systems and Industrial Management Applications
A Particle Swarm Optimization Algorithm for Neighbor Selection in Peer-to-Peer Networks
Elk, Poland
June 28-June 30
ISBN: 0-7695-2894-5
Shichang Sun, Dalian Nationalities University, China; Dalian University of Technology, China
Ajith Abraham, Norwegian University of Science and Technology, Norway; Dalian Maritime University, China
Hongbo Liu, Dalian University of Technology, China; Dalian Maritime University, China
Peer-to-peer (P2P) topology has significant influence on the performance, search efficiency and functionality, and scalability of the application. In this paper, we propose a Particle Swarm Optimization (PSO) approach to the problem of Neighbor Selection (NS) in P2P Networks. Each particle encodes the upper half of the peer-connection matrix through the undirected graph, which reduces the search space dimension. The results indicate that PSO usually required shorter time to obtain better results than Genetic Algorithm (GA), specially for large scale problems.
Citation:
Shichang Sun, Ajith Abraham, Guiyong Zhang, Hongbo Liu, "A Particle Swarm Optimization Algorithm for Neighbor Selection in Peer-to-Peer Networks," cisim, pp.166-172, 2007 6th International Conference on Computer Information Systems and Industrial Management Applications, 2007
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