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An experimental study on genetic algorithms for resource allocation on grid systems

Autor
Xhafa, F.; Barolli, L.; Durresi, A.
Tipus d'activitat
Article en revista
Revista
Journal of interconnection networks
Data de publicació
2007-12
Volum
8
Número
4
Pàgina inicial
427
Pàgina final
443
DOI
https://doi.org/10.1142/S0219265907002119 Obrir en finestra nova
URL
http://www.worldscientific.com/doi/abs/10.1142/S0219265907002119 Obrir en finestra nova
Resum
Computational Grid (CG) is an emerging paradigm in which geographically distributed resources are logically unified as a computational unit. A challenging problem in such systems is the allocation of jobs to resources that minimizes both makespan and flowtime parameters. In this paper, we present an experimental study on Genetic Algorithms (GAs) for scheduling independents jobs to Grid resources based on two replacement strategies: Steady-State GA (SSGA) and Struggle GA (SGA). SSGA distinguishes...
Paraules clau
Computational Grids, Etc Simulation Model, Genetic Algorithm, Job Scheduling, Resource Allocation
Grup de recerca
ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals

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