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The performance of large-scaled Peer-To-Peer (P2P) Video-on-Demand (VoD) streaming systems can be very challenging to analyze. In practical P2P VoD systems, each peer only interacts with a small number of other peers/neighbors. Further, its upload capacity may vary randomly and both its downloading position and content availability change dynamically. In this paper, the authors rigorously study the achievable streaming capacity of large-scale P2P VoD systems with sparse connectivity among peers, and investigate simple and decentralized P2P control strategies that can provably achieve close-to-optimal streaming capacity. They first focus on a single streaming channel.
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