Incentive strategy based on credit model in hybrid P2P network

In order to deal with free riding in P2P systems, an incentive model based on peer credit has been proposed. Each peer in this model is a credit entity. Through introducing reward method to the model, peers will allocate resources according to the credits of request peers to maximize their own credits. A backtracking algorithm has been suggested to solve the issue of maximizing credit rewards. To avoid inflation of the credit, attenuation method is introduced. The scheme on how to apply the credit model in hybrid P2P networks has also been presented in this work. The experimental results show that the model can effectively control free riding and improve efficiency of the system.