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Use of genetic algorithms for scheduling jobs in large scale grid applications

Autor
Carretero, J.; Xhafa, F.
Tipus d'activitat
Article en revista
Revista
Ukio technologinis ir ekonominis vystymas (Spausdinta)
Data de publicació
2006-01
Volum
12
Número
1
Pàgina inicial
11
Pàgina final
17
DOI
10.1080/13928619.2006.9637716
URL
https://www.tandfonline.com/doi/abs/10.1080/13928619.2006.9637716 Obrir en finestra nova
Resum
In this paper we present the implementation of Genetic Algorithms (GA) for job scheduling on computational grids that optimizes the makespan and the total flowtime. Job scheduling on computational grids is a key problem in large scale grid-based applications for solving complex problems. The aim is to obtain an efficient scheduler able to allocate a large number of jobs originated from large scale applications to grid resources. Several variations for GA operators are examined in order to identi...
Paraules clau
Computational grid, Flowtime, Genetic algorithms, Job scheduling, Large size instances, Makespan
Grup de recerca
ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals

Participants