Based On Trust Management And Incentive Mechanism Of P2p Media Streaming Qos Research

With the rapid development of network technology today, streaming media business which based on P2P technology is developing rapidly. Streaming media application has become the main Internet application, people of all kinds used more and more widely. As the increase population of network users, improve the service quality of the mass flow media has become an urgent problem to be solved.In order to improve the service quality of P2P streaming media, this paper from the most basic flow service strategy began, compared and analysis several typical systems of P2P streaming media, and go deep into the current situation of streaming media service quality in P2P, especially on caching mechanism, node choice mechanism, the fault tolerance mechanism, data scheduling mechanism and incentive mechanism. The five aspects of current research hotspot focus more thoroughly and more comprehensive. On the basic of research, summarize and propose an improvement plan according to shortcoming of the existing models.This paper based on the trust management mechanism of effective node, based on the existing models, it joining in the node for strength and node service recommended credibility and node of the risk factors several parameters. By through the calculation of the node trust to strengthen the ability of node chooses to recommend excellent service object. The risk of nodes on the network can identify the malicious node effectively and punish the malicious node. The trust management mechanism has improved the ability of nodes’self-management and the ability to resist risk of the system.Such phenomenon of free-riding exists generally in network, based on the trust management mechanism and the Nash equilibrium principle. In order to keep the balance of nodes contribution and earnings strategy, and achieve the incentive effect, further research should be continue.The simulation experiment of peer-to-peer network under the certain scale in the node service process, by setting up different kinds of malicious node size, this SCMI model and comparing that EigenTrust model, FCTrust model more advantage, especially in dealing with a different strategy node in the network. And at the same time, the success rate of node trade has improved. Through the Nash equilibrium theory, the calculation of the benefits and contribution to the node, it has achieved the best combination of utility function, and have a lift node inhibition.