• DocumentCode
    1989968
  • Title

    A MILP Approach to Schedule Parallel Independent Tasks

  • Author

    Goldman, Alfredo ; Ngoko, Yanik

  • Author_Institution
    DCC - IME - USP, Sao Paulo, Brazil
  • fYear
    2008
  • fDate
    1-5 July 2008
  • Firstpage
    115
  • Lastpage
    122
  • Abstract
    We propose a new mixed integer linear programming approach to solve the classical problem of scheduling independent parallel tasks without preemption. We propose a formulation where the goal is to minimize the makespan.Then we show the flexibility of this approach by extending the result to the contiguous case. We validate this approach with some experiments on the execution times and comparing the optimal results with the solutions provided by list algorithms.
  • Keywords
    integer programming; linear programming; minimisation; parallel algorithms; processor scheduling; MILP approach; makespan minimization; mixed integer linear programming; parallel independent task scheduling; Approximation algorithms; Context modeling; Delay; Distributed computing; Grid computing; Mixed integer linear programming; Parallel processing; Polynomials; Processor scheduling; Scheduling algorithm; Independent Tasks; Mixed Integer Linear Programming; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing, 2008. ISPDC '08. International Symposium on
  • Conference_Location
    Krakow
  • Print_ISBN
    978-0-7695-3472-5
  • Type

    conf

  • DOI
    10.1109/ISPDC.2008.59
  • Filename
    4724237