Metaheuristics for scheduling in distributed computing environments
Grid computing has emerged as one of the most promising computing paradigms of the new millennium! Achieving high performance Grid computing requires techniques to efficiently and adaptively allocate jobs and applications to available resources in a large scale, highly heterogenous and dynamic envir...
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| Altri autori: | , , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2008. |
| Serie: | Studies in Computational Intelligence
146 |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Metaheuristics for scheduling in distributed computing environments, Fatos Xhafa, Ajith Abraham (eds.), Berlin, Springer Verlag, 2008, 1 vol. (xv-364 p.), Studies in computational intelligence, 978-3-540-69260-7 • Metaheuristics for Scheduling in Distributed Computing Environments, Texte imprimé, 9783540865148 • Metaheuristics for Scheduling in Distributed Computing Environments, Texte imprimé, 9783642088759 • Metaheuristics for scheduling in distributed computing environments, Fatos Xhafa, Ajith Abraham (eds.), Berlin, Springer Verlag, 2008, 1 vol. (xv-364 p.), Studies in computational intelligence, 978-3-540-69260-7 |