Research Of P2P Traffic Optimization Based On Tripartite Game

With the development of Internet, Peer-to-Peer(P2P) network technology which infile downloading, streaming, instant messaging, VoIP, and other fields has been widelyused. P2P applications not only enrich the network applications, but also consume thenetwork bandwidth with50%-90%, which causing large impact to Internet ServiceProvider (ISP), and resulting in network congestion, information security and otherissues. Therefore, optimizing P2P traffic has become an important way to resolve thetension between Peer-to-Peer Content Provider (PCP) and the ISP.The nature of P2P traffic optimization is to reduce inter-domain traffic flows, themain idea is to localize traffic, and the core is to promote cooperation between P2P andISP. This paper which is based on a tripartite game focuses on P2P traffic optimizationframework, game-based caching P2P traffic optimization model and the optimizationmodel based on in-depth study of cooperative game P2P traffic, the main work is asfollows:(1) P2P traffic optimization framework based on tripartite game. From the analysisof reverse engineering transportation optimization techniques based on PCP and P2Ptraffic management technology based on ISP, the paper argues that ISP, PCP andtripartite game P2P traffic management are future trends of P2P traffic optimizationmanagement, and the proposed methods of P2P traffic optimization framework based ontripartite cooperation are implemented by two specific models.(2) In P2P networks, the logical layer network topology and routing layernetwork topology are important result of a large number of inter-domain traffic flows,localization ideas can be a good solution to this problem based on the flow deployedcache. Through the analysis of the cache deployment mechanism, it is proposed a basiccache game model, which including Tracker server, ISP server and Cache server,tooptimize the flow of total revenue attributed to the cache as optimization objectiveoptimization problem, and proposed a caching strategy based on step-cache thought.Experimental results show that this model can effectively reduce the inter-domain trafficthrough the ISP deployment cache.(3) Traffic balancing model based on cooperative game. On the basis of optimizingP2P traffic based on game theory, it is proposed P2P traffic load balancing model basedon cooperative game, and obtained derivation of the equilibrium model. From theperspective of the evolution of the iterative dynamic equilibrium convergence, weanalyzed the proposed traffic load balancing algorithm (TLBA) from the point of viewof algorithm fairness.Finally, the simulation results show that P2P traffic load balancingmodel based on cooperative game can achieve better balanced P2P traffic requesthanded by ISP.