• DocumentCode
    1586311
  • Title

    A Descriptive Performance Model of a Load Balancing Single System Image

  • Author

    Ahmed, Bestoun S. ; Samsudin, Khairulmizam ; Ramli, Abdul Rahman ; Basri, ShahNor

  • Author_Institution
    Dept. of Comput. & Commun. Syst. Eng., Univ. Putra Malaysia, Serdang
  • fYear
    2008
  • Firstpage
    180
  • Lastpage
    184
  • Abstract
    Recent development in the load balancing single system image (SSI) provides a simple to use, cost effective and high performance environment, which has become increasingly attractive to many users. OpenMosix is one instance of a successful open source SSI cluster. Up date, there is no standard performance measurement metrics suitable for OpenMosix. A standard descriptive performance model benchmark allows developer and user to measure and compare performance of different SSI cluster design. The aim of this part of research is to study the effect of the number of nodes on some performance metrics by considering a particular network configuration and to investigate a framework for performance evaluation and modeling. The performance evaluation and benchmark show that the performance of the cluster is affected by the probabilistic and decentralized approach to disseminate load balancing information. A modification to the dissemination load-balancing algorithm shows improved performance.
  • Keywords
    public domain software; resource allocation; OpenMosix; descriptive performance model; load balancing information dissemination; load balancing single system image; open source SSI cluster; Aerospace simulation; Asia; Clustering algorithms; Computational modeling; Kernel; Load management; Load modeling; Measurement standards; Memory management; Standards development; MOSIX; OpenMosix; Single system image; performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling & Simulation, 2008. AICMS 08. Second Asia International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-0-7695-3136-6
  • Electronic_ISBN
    978-0-7695-3136-6
  • Type

    conf

  • DOI
    10.1109/AMS.2008.21
  • Filename
    4530472