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
Link To Document :
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