Optimizing the Playback Quality of Data-Driven Peer-to-Peer Streaming

In recent years, the data-driven streaming systems have been extensively deployed in Internet. In these systems, each node should request the streaming blocks of interest from its neighbors (.i.e. block request scheduling), meanwhile each node satisfies the requests received from its neighbors (.i.e. block delivery scheduling) given its bandwidth limitations. These two scheduling issues are critical to the playback performance of the data-driven streaming systems. Many research efforts have been made on the data request scheduling issue. However, few of them concentrated on the data delivery scheduling problem. In this paper, we present an analytical optimization model to tackle with the data delivery scheduling. Furthermore, a greedy algorithm to improve the playback performance of the system is proposed based on this model. The results of the simulation verify the effectiveness of our algorithm.