A novel scalable video streaming system on P2P networks

Peer-to-peer (P2P) media streaming systems have recently become a major type of application traffic. In these applications, an important issue has been the block scheduling problem, which determines how each peer exchanges the data blocks from others. Scalable streaming in P2P networks has recently been proposed to address the heterogeneity of the network environment. In this paper, we first define a priority function for each block according to the block's significance for video content. The block scheduling problem is then transformed to an optimization problem that maximizes the priority sum of the delivered video blocks. The simulation results show that the proposed algorithm offers excellent performance for P2P streaming service.