• DocumentCode
    1672203
  • Title

    Comparison of predictive techniques in cluster-based network servers with resource allocation

  • Author

    Gilly, Katja ; Alcaraz, Salvador ; Juiz, Carlos ; Puigjaner, Ramon

  • Author_Institution
    Dep. de Fisica y Arquitectura de Computadores, Univ. Miguel Hernandez, Elche, Spain
  • fYear
    2004
  • Firstpage
    545
  • Lastpage
    552
  • Abstract
    Predictive algorithms play a crucial role in system management by alerting it to future events that may degrade the global performance of the system. Our paper proposes a predictive algorithm for a Web switch that manages a cluster of Web servers. Several throughput predictive techniques have been studied to balance the workload dynamically according to a predetermined quality of service for different types of users, and finally we have obtained the best that fits in our algorithm. In order to reduce the checking time, estimations are only computed in a variable slot scheduling.
  • Keywords
    computer network management; network servers; parameter estimation; prediction theory; quality of service; resource allocation; scheduling; QoS; Web cluster; Web server cluster; Web switch; checking time; cluster-based network servers; predictive algorithms; predictive techniques; quality of service; resource allocation; system management; variable slot scheduling; Clustering algorithms; Degradation; Network servers; Prediction algorithms; Processor scheduling; Quality of service; Resource management; Switches; Throughput; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings. The IEEE Computer Society's 12th Annual International Symposium on
  • ISSN
    1526-7539
  • Print_ISBN
    0-7695-2251-3
  • Type

    conf

  • DOI
    10.1109/MASCOT.2004.1348311
  • Filename
    1348311