An optimized topology maintenance framework for P2P media streaming

  • Authors:
  • Rui Guo;Longshe Huo;Qiang Fu;Shuangjia Chen;Wen Gao

  • Affiliations:
  • Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and Graduate School, Chinese Academy of Sciences, Beijing, China;Institute of Digital Media, Peking University, Beijing, China;Institute of Digital Media, Peking University, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and Graduate School, Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and Institute of Digital Media, Peking University, Beijing, China

  • Venue:
  • MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
  • Year:
  • 2007

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Abstract

In this paper, we present an optimized topology maintenance framework used in AVStreamer P2P media streaming system. To help new incoming clients get an initial view of the whole network, a new weak hierarchy model is designed to share burdens among different servers. Based on this new model, several key techniques are adopted: node evaluation criteria which can help optimize the node-list cache, receiver-driven gossip which is used to update node-list cache from others more effectively, random walk algorithm which can make the network more random, and status polling which is used to ensure the aliveness of each node cached. Experimental results show that the proposed techniques are effective.