• DocumentCode
    2336570
  • Title

    Understanding Sub-stream Scheduling in P2P Hybrid Live Streaming Systems

  • Author

    Li, Zhenjiang ; Tsang, Danny H K ; Lee, Wang-Chien

  • Author_Institution
    Hong Kong Univ. of Sci. & Technol., Hong Kong, China
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The P2P pull-push hybrid architecture has achieved great success in delivering live video traffic over the Internet. However, a formal study on the sub-stream scheduling problem, a key design issue in hybrid systems, is still lacking. In this paper, we propose a max-flow model for mathematical analysis of this problem. We find that the sub-stream scheduling schemes used in existing hybrid systems, including CoolStreaming+, GridMedia and LStreaming, individually solve one special case of the proposed max-flow model. Moreover, this model can also serve as a benchmark to assess the performance of these existing sub-stream scheduling schemes. Further, we propose a weighted max-flow scheme to address the issue of peer heterogeneity in scheduling sub-streams. Finally, we point out the benefits of combining the hybrid streaming architecture and layered coding, and we also investigate how to schedule sub-streams in hybrid layered streaming systems.
  • Keywords
    Internet; media streaming; peer-to-peer computing; telecommunication traffic; CoolStreaming+; GridMedia; Internet; LStreaming; P2P hybrid live streaming systems; hybrid layered streaming systems; mathematical analysis; substream scheduling schemes; video traffic; Communications Society; Internet; Mathematical analysis; Mathematical model; Performance analysis; Robustness; Scheduling; Streaming media; Throughput; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2010 Proceedings IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4244-5836-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.2010.5462227
  • Filename
    5462227