• DocumentCode
    3521495
  • Title

    Research and Design on Web Server Optimization Model

  • Author

    Guo Xiaoli ; Feng Li ; Guo Ping

  • Author_Institution
    Sch. of Inf. Eng., Northeast Dianli Univ., Jilin, China
  • fYear
    2011
  • fDate
    28-29 May 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper gives a new performance analysis method, which is through the Markov chain and queuing network model for Web server services thread and queue modeling, computing performance level coefficient, the different performance measurement data through the normalized integration, and presents an intuitive, quantitative results to match the best server configuration parameters. And on this basis we design a new Web server optimization model, with the aid of the historical experience and feedback mechanism to reconfigure the Web server and to achieve its performance adaptive optimization.
  • Keywords
    Internet; Markov processes; computer network performance evaluation; file servers; optimisation; queueing theory; Markov chain; Web server optimization model; performance analysis method; performance measurement data; queuing network model; server configuration parameter; Markov processes; Monitoring; Optimization; Performance analysis; Time factors; Web servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9855-0
  • Electronic_ISBN
    978-1-4244-9857-4
  • Type

    conf

  • DOI
    10.1109/ISA.2011.5873397
  • Filename
    5873397