Improving quality of live streaming service over p2p networks with user behavior model

  • Authors:
  • Yun Tang;Lifeng Sun;Jian-Guang Luo;Shi-Qiang Yang;Yuzhuo Zhong

  • Affiliations:
  • Tsinghua University, Beijing, P.R. China;Tsinghua University, Beijing, P.R. China;Tsinghua University, Beijing, P.R. China;Tsinghua University, Beijing, P.R. China;Tsinghua University, Beijing, P.R. China

  • Venue:
  • MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
  • Year:
  • 2007

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Abstract

In this paper, we mainly investigate how to improve the streaming quality of service over Peer-to-Peer (P2P) networks with the benefit of practical service traces. Considering that the QoS of P2P live streaming is generally affected by high dynamics in peer community, we abstract the online duration model of end users and then exploit this characteristic to improve the stability and encourage contribution in P2P networks, which in turn facilitates the quality of streaming. The first effort involves the online information when constructing video delivery tree and hence achieves less playback disruption. The other algorithm takes the online duration into account when selecting neighbor peers for data exchange and advocates more mutual cooperation between peers. The experiment results show that the proposed schemes could respectively achieve higher stability and better delivery quality.