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Stochastic Fluid Theory for P2P Streaming Systems

PublisherInstitute of Electrical and Electronics Engineers
Format249.4KB PDFDate added25 May 2007
Topics File and Network Servers, Streaming Media
Downloads8

This paper develops 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' real-time 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.

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