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INFOCOM
2007
IEEE

Stochastic Fluid Theory for P2P Streaming Systems

12 years 25 days ago
Stochastic Fluid Theory for P2P Streaming Systems
—We develop a simple stochastic fluid model that seeks to expose the fundamental characteristics and limitations of P2P streaming systems. This model accounts for many of the essential features of a P2P streaming system, including the peers’ realtime demand for content, peer churn (peers joining and leaving), peers with heterogeneous upload capacity, limited infrastructure capacity, and peer buffering and playback delay. The model is tractable, providing closed-form expressions which can be used to shed insight on the fundamental behavior of P2P streaming systems. The model shows that performance is largely determined by a critical value. When the system is of moderate-to-large size, if a certain ratio of traffic loads exceeds the critical value, the system performs well; otherwise, the system performs poorly. Furthermore, large systems have better performance than small systems since they are more resilient to bandwidth fluctuations caused by peer churn. Finally, buffering can ...
Rakesh Kumar, Yong Liu, Keith W. Ross
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where INFOCOM
Authors Rakesh Kumar, Yong Liu, Keith W. Ross
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