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[OBB15] Energy-Aware DPSO Algorithm for workflow Scheduling on Computational Grids
Conférence Internationale avec comité de lecture : 3rd IEEE International Conference on Future Internet of Things and Cloud, August 2015, pp.pp. 651-656, Rome, Italia, (DOI: 10.1109/FiCloud.2015.111 )Mots clés: Grid computing, task scheduling, workflow, Particle Swarm Optimization, makespan, energy consumption.
Résumé:
Computational Grids are high performance
computing systems used to solve large scale computational
demands. Because scheduling workflow applications in a
distributed environment is a NP-Complete problem, metaheuristics
are introduced to solve this issue. In this paper, we
propose an Energy-Aware algorithm based on Discrete Particle
Swarm Optimization (DPSO) called EA-DPSO. Our aim is to
minimize the makespan (i.e., overall completion time) of all the
tasks within the workflow while optimizing energy consumption.
The experimental results show that energy consumption is
optimized, while the scheduling in terms of completion time is
maintained.
Equipe:
mim
Collaboration:
USTHB
BibTeX
| @inproceedings { | |||
| OBB15, | |||
| title | = | "{Energy-Aware DPSO Algorithm for workflow Scheduling on Computational Grids}", | |
| author | = | " K. Oukfif and L. Bouali and S. Bouzefrane and F. Oulebsir Boumghar ", | |
| booktitle | = | "{3rd IEEE International Conference on Future Internet of Things and Cloud}", | |
| year | = | 2015, | |
| month | = | "August", | |
| pages | = | "pp. 651-656", | |
| address | = | "Rome, Italia", | |
| doi | = | "10.1109/FiCloud.2015.111 ", | |
| } | |||
