A P2P Video Delivery Network (P2P-VDN)

Current video streaming and storage systems such as YouTube, are based on the client-server model, thus do not scale well in terms of bandwidth and computation. This paper describes a peer-to-peer video delivery network (P2P-VDN) that provides both performance improvement and scalability based on three architectural elements. First, the proposed P2P-VDN employs a random network coding (RNC) scheme that breaks a video stream into multiple smaller pieces, codes, and disperses them throughout peers in the network, in such a way to maximize the probability of recovering the original video under peer departures and failures. Second, the proposed P2P-VDN employs a scalable mechanism for automating the data replenishment process using RNC that is necessary to maintain a sufficient level of redundancy for video stored in the network. Third, the proposed P2P-VDN employs a path-diversity protocol for a client to simultaneously stream a video from multiple peers in the P2P-VDN. Simulations demonstrate that under certain scenarios, our proposed P2P-VDN can result in bandwidth saving up to 60% over the traditional architecture.