Authors
Thomas Bonald, Laurent Massoulié, Fabien Mathieu, Diego Perino, Andrew Twigg
Publication date
2008/6/2
Book
Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Pages
325-336
Description
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 …
Total citations
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Scholar articles
T Bonald, L Massoulié, F Mathieu, D Perino, A Twigg - Proceedings of the 2008 ACM SIGMETRICS …, 2008