Super-peer selection based framework using dynamic capacity and similarity

Abstract

The peer-to-peer (P2P) systems have grown significantly over the last few years due to their potential for sharing various resources. SP (Superpeer) based P2P systems give the responsibility for query processing to the SPs instead of their OPs (Ordinary-Peer). In these systems, selecting the best SP to join is an important problem, but it has received little attention from the research community. In this study, we propose ISP2P (Intelligent Super-peer based P2P system), which can provide the best SP by analyzing dynamic capacity and similarity between peers. This proposed system can improve scalability and reduce SP's workload by dynamic CPU load, and decrease message traffic by the physical capacity and similarity of content and user behavior. © Springer-Verlag Berlin Heidelberg 2006.