Repeated Public Goods Game Mode for Trust Based P2P Networks

In recent years, peer-to-peer (P2P) network systems have been widely used in the Internet. Particularly, P2P file sharing mechanism has emerged popularity and attract millions of users. However, to create an efficient P2P system, end users should share their resources among a group of other users. To satisfy this objective, this paper applies the repeated public goods game model to P2P systems. By adopting an interactive self-learning mechanism, the proposed scheme gradually leads the P2P system into an efficient network equilibrium. In a distributed manner, our approach is a practical and suitable method in real world P2P network operations. With a simulation study, it is demonstrated that the proposed scheme can obtain better performance than other existing schemes under widely diverse file request rates.