A Parallel Island-based Hybrid Genetic Algorithm for Precedence-constrained Applications to Minimize Energy Consumption and Makespan
Mezmaz, Mohand; Kessaci, Yacine; Lee, Young Choonet al.
2010 • In Proceedings - IEEE/ACM International Workshop on Grid Computing 2010, Article number 5697985, Pages 274-281 2010 11th IEEE/ACM International Conference on Grid Computing, p. 274-281
[en] Task scheduling algorithms are designed mostly with the sole goal of minimizing makespan (completion time). Almost all research works related to this kind of algorithms do not pay much attention to energy consumption. In this paper, we investigate the energy issue in task scheduling particularly on high-performance computing systems (HCSs). We propose a new island-based bi-objective hybrid algorithm that takes into account, not only makespan, but also energy consumption. The proposed approach uses dynamic voltage scaling (DVS) to minimize energy consumption. Our study provides the significance and potential of DVS. The proposed approach is powerful as it profits from the cooperative paradigm of the island model. Indeed, the obtained results show that our approach outperforms previous scheduling methods, in terms of energy consumption, by a noticeable margin. The obtained schedules are also shorter, in terms of completion time, than those of other algorithms.
Disciplines :
Mathematics
Author, co-author :
Mezmaz, Mohand ; Université de Mons > Faculté Polytechnique > Mathématique et Recherche opérationnelle
Kessaci, Yacine
Lee, Young Choon
Melab, Nouredine
Talbi, El-Ghazali
Zomaya, Albert Y.
Tuyttens, Daniel ; Université de Mons > Faculté Polytechnique > Service de Mathématique et Recherche opérationnelle
Language :
English
Title :
A Parallel Island-based Hybrid Genetic Algorithm for Precedence-constrained Applications to Minimize Energy Consumption and Makespan
Publication date :
26 October 2010
Journal title :
Proceedings - IEEE/ACM International Workshop on Grid Computing 2010, Article number 5697985, Pages 274-281 2010 11th IEEE/ACM International Conference on Grid Computing
ISSN :
2152-1085
Pages :
274-281
Peer reviewed :
Peer reviewed
Research unit :
F151 - Mathématique et Recherche opérationnelle
Research institute :
R500 - Institut des Sciences et du Management des Risques