ISI: Integration of Search and Incentive Strategy in P2P Systems

As the rapid development of P2P application, many applications based on P2P technology are produced and applied over the Internet. Therefore, searching efficiency, bandwidth utilization rate, average download time and throughput become the key issues of P2P. In order to improve the performance of P2P applications, we propose an integration of search and incentive strategy (ISI) in this paper, which not only exploits incentive in downloading but also in searching. ISI aims to promote peers to upload its local resources and attracts other peers to connect high-score peers. Simulation results demonstrate that, ISI can improve P2P system performance on download success rate download time for P2P users, and bandwidth utilization, throughput for underlying network.