An Adaptive Scheduling Algorithm for Scalable Peer-to-Peer Streaming

  • Longzhe Han
  • Hoh Peter In
Part of the Studies in Computational Intelligence book series (SCI, volume 365)


Because of high scalability and low cost, Peer-to-Peer (P2P) video streaming has been the promising and interesting approach for delivering multimedia content over the Internet. However very different capabilities of end users’ systems, unpredictable network bandwidth and the rigorous nature of the video streaming impose design challenges on P2P streaming systems. In this paper, an adaptive scheduling algorithm has been proposed to overcome these limitations. This algorithm is based on H.264 Scalable Video Coding (H.264/SVC) and P2P paradigm to provide scalable video streaming services for heterogeneous users and self-adapt the dynamic network environment.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Longzhe Han
    • 1
  • Hoh Peter In
    • 1
  1. 1.Korea UniversitySeoulSouth Korea

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