Inferring network-wide quality in P2P live streaming systems

Xiaojun Hei, Yong Liu, Keith W. Ross

Research output: Contribution to journalArticlepeer-review


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, P2P live. 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.

Original languageEnglish (US)
Pages (from-to)1640-1654
Number of pages15
JournalIEEE Journal on Selected Areas in Communications
Issue number9
StatePublished - Dec 2007


  • IPTV
  • Measurement
  • Peer-to-peer streaming
  • Video quality monitoring

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Inferring network-wide quality in P2P live streaming systems'. Together they form a unique fingerprint.

Cite this