• DocumentCode
    2791261
  • Title

    Models and Heuristics for Robust Resource Allocation in Parallel and Distributed Computing Systems

  • Author

    Janovy, David L. ; Smith, Jay ; Siegel, Howard Jay ; Maciejewski, Anthony A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Colorado State Univ., Fort Collins, CO
  • fYear
    2007
  • fDate
    26-30 March 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This is an overview of the robust resource allocation research efforts that have been and continue to be conducted by the CSU robustness in computer systems group. Parallel and distributed computing systems, consisting of a (usually heterogeneous) set of machines and networks, frequently operate in environments where delivered performance degrades due to unpredictable circumstances. Such unpredictability can be the result of sudden machine failures, increases in system load, or errors caused by inaccurate initial estimation. The research into developing models and heuristics for parallel and distributed computing systems that create robust resource allocations is presented.
  • Keywords
    parallel processing; resource allocation; computer systems group; distributed computing systems; parallel computing; robust resource allocation; Actuators; Computer science; Concurrent computing; Degradation; Distributed computing; Resource management; Road transportation; Robustness; Stochastic processes; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    1-4244-0910-1
  • Electronic_ISBN
    1-4244-0910-1
  • Type

    conf

  • DOI
    10.1109/IPDPS.2007.370517
  • Filename
    4228245