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
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