Alliance algorithm of converging feedback network on P2P real-time media streaming

Quality of service and the services providing ability of system are deeply influenced by unfairness of client contributions, a alliance algorithm based on distance-convergence was proposed by implementing the converging feedback network in dynamic traffic condition, and it can avoid the unreasonable traffic which cannot be eliminated by the random-alliance, content-likeness driven alliance and bandwidth-likeness driven alliance. A node mix distance algorithm was implemented, which combines IP static range algorithm and dynamic packet probe ranging method. The node mix distance algorithm can overcome the drawbacks that packet probing range is easily affected by the traffic fluctuation, the real-time feature cannot be ensured by the client perception range, and the IP-based range algorithm lacks precision. Moreover, a uniform flow cycle request collaborative mechanism based on Polling was introduced, which not only keeps the lower-offset merit of the pushing-pulling periodic requesting mechanism, but also provides enough resilience against transport ability decline and transport failure. The simulation results show that our mechanism can reduce the probabilities of unreasonable traffic and the vice behavior of non-contribution, and can provide better performance of delay, packet loss rate and packet arriving rate than other alliance mechanisms in larger scale.