Data Transmission Scheduling Schema over P2P Media Distribution Network

When a node of Peer-to-Peer(P2P) media distribution network downloads data from a number of other nodes at the same time,it needs to schedule the downloading tasks rationally in order to complete as many tasks as possible on time.As a solution for this problem,a scheduling schema based on multi-task association is proposed.By taking all requests in a period into account and scheduling them as a whole,the schema can effectively improve service performance of this system.The simulation results show that it can improve the concurrent processing capacity by about 10 percent.