Epidemic live streaming: optimal performance trade-offs

Several peer-to-peer systems for live streaming have been recently deployed (e.g. CoolStreaming, PPLive, SopCast). These all rely on distributed, epidemic-style dissemination mechanisms. Despite their popularity, the fundamental performance trade-offs of such mechanisms are still poorly understood. In this paper we propose several results that contribute to the understanding of such trade-offs. Specifically, we prove that the so-called random peer, latest useful chunk mechanism can achieve dissemination at an optimal rate and within an optimal delay, up to an additive constant term. This qualitative result suggests that epidemic live streaming algorithms can achieve near-unbeatable rates and delays. Using mean-field approximations, we also derive recursive formulas for the diffusion function of two schemes referred to as latest blind chunk, random peer and latest blind chunk, random useful peer. Finally, we provide simulation results that validate the above theoretical results and all...

• Type: Journal
• Year: 2008
• Where: SIGMETRICS
• Authors: Thomas Bonald, Laurent Massoulié, Fabien Mathieu, Diego Perino, Andrew Twigg
• Keywords: Hardware, Latest Blind Chunk, Performance Trade-offs, Random Peer, SIGMETRICS 2008