A High Scalability P2P Simulation Framework with Measured Realistic Network Layer Support

The Peer-to-Peer (P2P) technology being widely adopted in today´s both academic research and practical service providing, has many potential advantages, including high scalability and cost-effectiveness. However, the behavior of these P2P systems under large scale and complex interactions is still poorly understood and many challenges in improving their performance remain. A fundamental problem in studying peer-to-peer networks is the evaluation of new protocols. So the technology of P2P network simulation has become a main method for understanding, researching and evaluating the P2P network algorithms and protocols. In this paper, we present a novel large-scale parallel Peer-to-Peer Simulation Framework with High Scalability (HiFiP2P) which uses message-level parallel process. By performing the comparison experiments, we show that HiFiP2P outperforms the existing simulation platform in both aspects of scalability and efficiency. And we show that with HiFiP2P simulations of networks with up to 500,000 nodes are feasible.