• DocumentCode
    3009750
  • Title

    Measure and Model P2P Streaming System by Buffer Bitmap

  • Author

    Chen, Yishuai ; Chen, Changjia ; Li, Chunxi

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Beijing Jiaotong Univ., Beijing
  • fYear
    2008
  • fDate
    25-27 Sept. 2008
  • Firstpage
    242
  • Lastpage
    249
  • Abstract
    The correct evaluation of P2P streaming system models needs the validation in real world system. However, there is lack of systematic and integrated measurement method for real world P2P streaming system. In this paper, we propose a P2P streaming network measurement method based on a peer´s buffer occupancy probability. Our method is based on the fixed duration buffer property of commercial P2P streaming systems. We prove the measured buffer occupancy probability reflects the chunk propagation process in the P2P network. We then propose a P2P streaming chunk propagation model and verify it in the commercial P2P streaming network using our measurement method. Our measurement method is useful for measuring and analyzing miscellaneous P2P streaming systems. And our model and parameter estimation are useful for existing P2P simulators to choose correct parameters and are meaningful for researchers to understand the real meaning behind the parameters.
  • Keywords
    buffer storage; media streaming; parameter estimation; peer-to-peer computing; probability; P2P streaming network measurement; buffer bitmap; buffer occupancy probability; chunk propagation process; parameter estimation; Concrete; Data processing; Electric variables measurement; High performance computing; Length measurement; Multimedia communication; Parameter estimation; Probability distribution; Research and development; Streaming media; Buffer Bitmap; Measurement; Modeling; P2P streaming; PPLive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-0-7695-3352-0
  • Type

    conf

  • DOI
    10.1109/HPCC.2008.45
  • Filename
    4637704