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A Particle Swarm Optimization Algorithm for Neighbor Selection in Peer-to-Peer Networks
2007
6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)
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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
doi:10.1109/cisim.2007.6
dblp:conf/cisim/SunAZL07
fatcat:gawwntzhzvgqpduu3mmmckgfae