• DocumentCode
    2901740
  • Title

    Measurement-based adaptive statistical admission control scheme for video-on-demand servers

  • Author

    Kim, In-Hwan ; Kim, Jeong-Won ; Lee, Seung-Won ; Chung, Ki-Dong

  • Author_Institution
    Dept. of Comput. Sci., Pusan Nat. Univ., South Korea
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    471
  • Lastpage
    478
  • Abstract
    In a VoD (video-on-demand system), admission control that is used to serve multimedia data efficiently has to be performed by an accurate grasp of the condition of surplus resources. Most of all, we need an adaptable admission control mechanism because the disk has an irregular response time caused by external elements of the disk, and also by the high deviation in demand. In this measurement-based statistical admission control scheme, as we suggested in this research, we can get both a maximum resource utilization and QoS guarantee through the off-line process and the on-line process. From performance evaluations, we show that the video server can provide maximum resource utilization with QoS guarantee through the precision of the performance by measurement and adaptable admission control according to the requested bandwidth
  • Keywords
    adaptive control; multimedia communication; quality of service; statistical analysis; telecommunication congestion control; video on demand; video servers; QoS guarantee; VoD servers; bandwidth; maximum resource utilization; measurement-based adaptive statistical admission control; multimedia data; off-line process; on-line process; performance evaluation; response time; video-on-demand servers; Adaptive control; Admission control; Bandwidth; Equations; Multimedia systems; Probability; Programmable control; Quality of service; Resource management; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Networking, 2001. Proceedings. 15th International Conference on
  • Conference_Location
    Beppu City, Oita
  • Print_ISBN
    0-7695-0951-7
  • Type

    conf

  • DOI
    10.1109/ICOIN.2001.905467
  • Filename
    905467