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During the last decade, we witnessed a rapid growth in deployment ofpull-based P2P streaming applications. In these applications, each node selectssome other nodes as its neighbors and requests streaming data from them. Thisscheme allows eliminating data redundancy and recovering from data loss, but itpushes the complexity to the receiver node side. In this paper, wetheoretically study the scheduling problem in Pull-based P2P video streamingand we model it as an assignment problem. Then, we propose AsSched, newscheduling algorithm for layered streaming, in order to optimize the throughputand the delivery ratio of the system. In second time, we derive an optimalalgorithm (NAsSched) for non layered streaming. The results of simulations showthat our algorithms significantly outperform classic scheduling strategiesespecially in stern bandwidth constraints.

On the Optimal Scheduling in Pull-based Real-Time P2P Streaming Systems: Layered and Non-Layered Streaming