• DocumentCode
    3114163
  • Title

    Supporting Scalable and Cooperative Interval Caching in a Clustered Video Server

  • Author

    Kim, Suneuy ; Tran, Kim Hang Thi

  • Author_Institution
    San Jose State Univ., San Jose
  • fYear
    2007
  • fDate
    12-14 July 2007
  • Firstpage
    283
  • Lastpage
    286
  • Abstract
    The design of scalable video servers with high throughput is receiving considerable attention with the growing popularity of VOD services. This paper presents a design solution we call scalable and cooperative interval caching (SCIC) for clustered video servers. SCIC uses interval caching and cache cooperation done by hash-based request distribution, and a randomized way of probing for an available cache. This way, SCIC can provide high scalability and throughput in clustered servers with a reasonably small amount of communication among hosts. Our simulation results demonstrate that SCIC is an effective caching strategy providing significant performance gains in clustered video servers.
  • Keywords
    Web services; video on demand; video servers; cache cooperation; clustered video server; cooperative interval caching; hash-based request distribution; scalable video servers; video-on-demand services; Algorithm design and analysis; Bandwidth; Clustering algorithms; Motion pictures; Network servers; Scalability; Streaming media; Switches; Throughput; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Computing and Applications, 2007. NCA 2007. Sixth IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7695-2922-4
  • Type

    conf

  • DOI
    10.1109/NCA.2007.46
  • Filename
    4276635