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AQCS: Adaptive Queue-Based Chunk Scheduling for P2P Live Streaming

  • Yang Guo
  • Chao Liang
  • Yong Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4982)

Abstract

P2P streaming has been popular and is expected to attract even more users. One major challenge for P2P streaming is to offer users satisfactory Quality of Experience (QoE) in terms of video resolution, startup delay, and playback smoothness, all require efficient utilization of bandwidth resources in P2P networks. In this paper, we propose AQCS, adaptive queue-based chunk scheduling, that can support the maximum streaming rate allowed by a P2P streaming system with small signaling overhead and short startup delay. AQCS is a distributed algorithm with minimum requirement on peers. Queue-based design enables peers to be self-adaptive to the bandwidth variations and peer churn, and automatically converges to the optimal operating point. The prototype of AQCS is implemented and various implementation issues are examined. The experiments over the PlanetLab further demonstrate AQCS’s optimality and its robustness against changing system/network environment.

Keywords

Cluster Head Network Code Data Chunk Upload Bandwidth Bandwidth Variation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Yang Guo
    • 1
  • Chao Liang
    • 2
  • Yong Liu
    • 2
  1. 1.Corporate Research,ThomsonPrinceton, NJUSA
  2. 2.ECE Dept.Polytechnic University,BrooklynNYUSA

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