A Game-Theoretic data assignment scheme for P2PVoD system

摘要

In the P2PVoD system, the data assignment is in essence a NP-hard issue and it is unable to find a polynomial time optimal algorithm. Meanwhile, selfish behavior of peers is one of the key problems that influence the optimal solution. In this paper, a Game-Theoretic data assignment scheme is presented. Peers are cooperating with each other in order to maximize social payoff. This scheme is also based on incentive values to make better cooperation. In the experiment, the PlanetLab data is applied for this approach and the results demonstrate the proposed method can accelerate searching speed and optimization rate. Additionally, the stabilization and expansibility of the system is improved.