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Nature inspired meta-heuristics for grid scheduling: single and multi-objective optimization approaches

Autor
Abraham, A.; Liu, H.; Grosan, C.; Xhafa, F.
Tipus d'activitat
Capítol de llibre
Llibre
Metaheuristics for scheduling in distributed computing environments
Pàgina inicial
247
Pàgina final
272
Editorial
Springer
Data de publicació
2008
ISBN
978-3-540-69260-7 Obrir en finestra nova
DOI
https://doi.org/10.1007/978-3-540-69277-5 Obrir en finestra nova
URL
http://www.springer.com/gp/book/9783540692607 Obrir en finestra nova
Resum
In this chapter, we review a few important concepts from Grid computing related to scheduling problems and their resolution using heuristic and meta-heuristic approaches. Scheduling problems are at the heart of any Grid-like computational system. Different types of scheduling based on different criteria, such as static vs. dynamic environment, multi-objectivity, adaptivity, etc., are identified. Then, heuristics and meta-heuristics methods for scheduling in Grids are presented. The chapter revea...
Paraules clau
Ant colony, Genetic algorithms, Grid computing, Job scheduling, Multi-objective optimization, Nature inspired meta-heuristics, Particle swarm optimization, Simulated annealing
Grup de recerca
ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals

Participants

  • Abraham, Ajith  (autor)
  • Liu, Hongbo  (autor)
  • Grosan, Crina  (autor)
  • Xhafa Xhafa, Fatos  (autor)