• DocumentCode
    3450767
  • Title

    Stochastic load balancing and related problems

  • Author

    Goel, Ashish ; Indyk, Piotr

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    579
  • Lastpage
    586
  • Abstract
    We study the problems of makespan minimization (load balancing), knapsack, and bin packing when the jobs have stochastic processing requirements or sizes. If the jobs are all Poisson, we present a two approximation for the first problem using Graham´s rule, and observe that polynomial time approximation schemes can be obtained for the last two problems. If the jobs are all exponential, we present polynomial time approximation schemes for all three problems. We also obtain quasi-polynomial time approximation schemes for the last two problems if the jobs are Bernoulli variables
  • Keywords
    bin packing; computational complexity; minimisation; resource allocation; scheduling; stochastic processes; Bernoulli variables; Graham´s rule; Poisson jobs; bin packing; exponential jobs; knapsack problem; makespan minimization; polynomial time approximation schemes; quasi-polynomial time approximation schemes; stochastic load balancing; stochastic processing requirements; stochastic sizes; Approximation algorithms; Character generation; Computer science; Load management; Random variables; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1999. 40th Annual Symposium on
  • Conference_Location
    New York City, NY
  • ISSN
    0272-5428
  • Print_ISBN
    0-7695-0409-4
  • Type

    conf

  • DOI
    10.1109/SFFCS.1999.814632
  • Filename
    814632