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Genetic algorithm based schedulers for grid computing systems

Autor
Xhafa, F.; Carretero, J.S.; Abraham, A.
Tipus d'activitat
Article en revista
Revista
International journal of innovative computing information and control
Data de publicació
2007-10
Volum
3
Número
5
Pàgina inicial
1053
Pàgina final
1071
Resum
n this paper we present Genetic Algorithms (GAs) based schedulers for efficiently allocating jobs to resources in a Grid system. Scheduling is a key problem in emergent computational systems, such as Grid and P2P, in order to benefit from the large computing capacity of such systems. We present an extensive study on the usefulness of GAs for designing efficient Grid schedulers when makespan and flowtime are minimized. Two encoding schemes have been considered and most of GA operators for each of...
Paraules clau
Benchmark Simulation Model, Computational Grids, Expected Time To Compute, Flowtime, Genetic Algorithms, Makespan, Resource Allocation, Scheduling
Grup de recerca
ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals

Participants

  • Xhafa Xhafa, Fatos  (autor)
  • Carretero Casado, Javier Sebastian  (autor)
  • Abraham, Ajith  (autor)