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In Peer-To-Peer (P2P) Video-on-Demand (VoD) systems, a scalable source coding is a promising solution to provide heterogeneous peers with different video quality. In this paper, the authors present a systematic study on the throughput maximization problem in P2P VoD applications. They apply network coding to scalable P2P systems to eliminate the delivery redundancy. Since each peer receives distinct packets, a peer with a higher throughput can reconstruct the video at a higher quality. They maximize the throughput in the existing buffer-forwarding P2P VoD systems using a fully distributed algorithm. They demonstrate in the simulations that the proposed distributed algorithm achieves a higher throughput compared to the proportional allocation scheme or the equal allocation scheme.
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