Self-Organizable P2P Document Search Engine for Knowledge Management.
Kazuhiro Kojima · 2004
this paper, we focus on the selforganization of a community structure based on user preferences for P2P systems. We propose these methods to improve P2P search performance: 1) Extended Pong,2)Pong Proxy, 3) QRP with Firework 4) Backward Learning, and 5) Community Self-Organization Algorithm. We evaluate the performance of the self-organized community network through simulations. These results show that the self-organized communitynetwork maintains a high query hit rate without overow. As an example of implementation, we propose the Self-Organizable P2P Search Engine