Inferring Network-Wide Quality in P2P Live Streaming Systems

@article{citeulike:2898705, abstract = {This paper explores how to remotely monitor network-wide quality in mesh-pull P2P live streaming systems. Peers in such systems advertise to each other buffer maps which summarize the chunks of the video stream that they currently have cached and make available for sharing. We demonstrate how buffer maps can be exploited to monitor network-wide quality. We show that the information provided in a peer's advertised buffer map correlates with that peer's viewing-continuity and startup latency. Given this correlation, we remotely harvest buffer maps from many peers and then process these buffer maps to estimate the video playback quality. We apply this methodology to a popular P2P live streaming system, namely, PPLive. To harvest buffer maps, we build a buffer-map crawler and also deploy passive sniffing nodes. We process the harvested buffer maps and present results for network-wide playback continuity, startup latency, playback lags among peers, and chunk propagation patterns. The results show that this methodology can provide reasonably accurate estimates of ongoing video playback quality throughout the network.}, author = {Hei, Xiaojun and Liu, Yong and Ross, K. W. }, booktitle = {Selected Areas in Communications, IEEE Journal on}, citeulike-article-id = {2898705}, doi = {10.1109/JSAC.2007.071204}, journal = {Selected Areas in Communications, IEEE Journal on}, number = {9}, pages = {1640--1654}, posted-at = {2008-06-16 14:43:23}, priority = {2}, title = {Inferring Network-Wide Quality in P2P Live Streaming Systems}, url = {http://dx.doi.org/10.1109/JSAC.2007.071204}, volume = {25}, year = {2007} }

TY - JOUR ID - citeulike:2898705 L3 - citeulike-article-id:2898705 TI - Inferring Network-Wide Quality in P2P Live Streaming Systems T2 - Selected Areas in Communications, IEEE Journal on JF - Selected Areas in Communications, IEEE Journal on VL - 25 IS - 9 SP - 1640 EP - 1654 N2 - This paper explores how to remotely monitor network-wide quality in mesh-pull P2P live streaming systems. Peers in such systems advertise to each other buffer maps which summarize the chunks of the video stream that they currently have cached and make available for sharing. We demonstrate how buffer maps can be exploited to monitor network-wide quality. We show that the information provided in a peer's advertised buffer map correlates with that peer's viewing-continuity and startup latency. Given this correlation, we remotely harvest buffer maps from many peers and then process these buffer maps to estimate the video playback quality. We apply this methodology to a popular P2P live streaming system, namely, PPLive. To harvest buffer maps, we build a buffer-map crawler and also deploy passive sniffing nodes. We process the harvested buffer maps and present results for network-wide playback continuity, startup latency, playback lags among peers, and chunk propagation patterns. The results show that this methodology can provide reasonably accurate estimates of ongoing video playback quality throughout the network. AU - Hei, Xiaojun AU - Liu, Yong AU - Ross, KW PY - 2007/// UR - http://dx.doi.org/10.1109/JSAC.2007.071204 ER -