Stochastic Fluid Theory for P2P Streaming Systems Export

@proceedings{stochastic_fluid_modeling, abstract = {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 dramatically improve performance in the critical region, for both small and large systems. In particular, buffering can bring more improvement than can additional infrastructure bandwidth.}, author = {Kumar, Rakesh and Liu, Yong and Ross, Keith}, booktitle = {INFOCOM 2007. 26th IEEE International Conference on Computer Communications. IEEE}, citeulike-article-id = {2605295}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/INFCOM.2007.112}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4215694}, doi = {10.1109/INFCOM.2007.112}, journal = {INFOCOM 2007. 26th IEEE International Conference on Computer Communications. IEEE}, keywords = {modeling, p2p, streaming}, pages = {919--927}, posted-at = {2009-08-04 14:47:23}, priority = {2}, title = {Stochastic Fluid Theory for P2P Streaming Systems}, url = {http://dx.doi.org/10.1109/INFCOM.2007.112}, year = {2007} }

TY - CONF ID - stochastic_fluid_modeling L3 - citeulike-article-id:2605295 N2 - 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 dramatically improve performance in the critical region, for both small and large systems. In particular, buffering can bring more improvement than can additional infrastructure bandwidth. JF - INFOCOM 2007. 26th IEEE International Conference on Computer Communications. IEEE EP - 927 TI - Stochastic Fluid Theory for P2P Streaming Systems T2 - INFOCOM 2007. 26th IEEE International Conference on Computer Communications. IEEE SP - 919 KW - modeling KW - p2p KW - streaming AU - Kumar, Rakesh AU - Liu, Yong AU - Ross, Keith PY - 2007/// UR - http://dx.doi.org/10.1109/INFCOM.2007.112 ER -