• DocumentCode
    2289825
  • Title

    Channel-Adaptive Packet Scheduler for Retransmission-Based Peer-to-Peer Stored-Video Streaming

  • Author

    Jung, Young H. ; Choe, Yoonsik

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Yonsei Univ., Seoul
  • fYear
    2008
  • fDate
    15-17 Dec. 2008
  • Firstpage
    390
  • Lastpage
    395
  • Abstract
    This paper describes a channel-adaptive packet scheduler for improved error-control performance in a peer-to-peer-like distributed-media streaming system. The proposed packet-scheduling algorithm was designed for the case where streaming-server peers rely on an error recovery strategy using retransmission and application layer automatic repeat request (ARQ) rather then error protection to avoid overburdening the network resources of each server peer. To achieve channel-adaptive packet scheduling, streaming clients continue to investigate the status of each channel from multiple server peers for each group of pictures (GoP). The packet-scheduling map for the GoP that can maximize the retransmission opportunity and reduce the frame loss ratio is generated using the observed channel status from each server peer. Simulation results show that the proposed algorithm enhances error recovery performance in distributed stored-video streaming better than other schedulers.
  • Keywords
    multimedia communication; peer-to-peer computing; scheduling; video streaming; automatic repeat request; channel-adaptive packet scheduler; peer-to-peer-like distributed-media streaming system; retransmission-based peer-to-peer stored-video streaming; Added delay; Automatic repeat request; Bandwidth; Error correction; Forward error correction; Network servers; Peer to peer computing; Scheduling algorithm; Streaming media; Web server; Packet Scheduler; Peer-to-Peer Stored-video streaming; Retransmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia, 2008. ISM 2008. Tenth IEEE International Symposium on
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-0-7695-3454-1
  • Electronic_ISBN
    978-0-7695-3454-1
  • Type

    conf

  • DOI
    10.1109/ISM.2008.26
  • Filename
    4741197