• DocumentCode
    1660156
  • Title

    Definition of a robustness metric for resource allocation

  • Author

    Ali, Shoukat ; Maciejewski, Anthony A. ; Siegel, Howard Jay ; Kim, Jong-Kook

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2003
  • Abstract
    Parallel and distributed systems may operate in an environment that undergoes unpredictable changes causing certain system performance features to degrade. Such systems need robustness to guarantee limited degradation despite fluctuations in the behavior of its component parts or environment. This research investigates the robustness of an allocation of resources to tasks in parallel and distributed systems. The main contributions of this paper are (1) a mathematical description of a metric for the robustness of a resource allocation with respect to desired system performance features against perturbations in system and environmental conditions, and (2) a procedure for deriving a robustness metric for an arbitrary system. For illustration, this procedure is employed to derive robustness metrics for two example distributed systems. Such a metric can help researchers evaluate a given resource allocation for robustness against uncertainties in specified perturbation parameters.
  • Keywords
    distributed processing; performance evaluation; resource allocation; distributed systems; parallel systems; perturbation parameter uncertainties; resource allocation; robustness metric; system performance; Computer science; Concurrent computing; Degradation; Distributed computing; Fluctuations; Parameter estimation; Resource management; Robustness; System performance; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2003. Proceedings. International
  • ISSN
    1530-2075
  • Print_ISBN
    0-7695-1926-1
  • Type

    conf

  • DOI
    10.1109/IPDPS.2003.1213128
  • Filename
    1213128