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...
Αποθηκεύτηκε σε:
| Άλλοι συγγραφείς: | , , |
|---|---|
| Μορφή: | Livre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Έκδοση: | 1st ed. 2008. |
| Σειρά: | Studies in Computational Intelligence
146 |
| Διαθέσιμο Online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Σημείωση: |
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 |
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| 245 | 0 | 0 | |a Metaheuristics for scheduling in distributed computing environments |c edited by Janusz Kacprzyk, Fatos Xhafa, Ajith Abraham. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 146 |x 1860-9503 | |
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| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Meta-heuristics for Grid Scheduling Problems Optimizing Routing and Backlogs for Job Flows in a Distributed Computing Environment Robust Allocation and Scheduling Heuristics for Dynamic, Distributed Real-Time Systems Supercomputer Scheduling with Combined Evolutionary Techniques Adapting Iterative-Improvement Heuristics for Scheduling File-Sharing Tasks on Heterogeneous Platforms Advanced Job Scheduler Based on Markov Availability Model and Resource Selection in Desktop Grid Computing Environment Workflow Scheduling Algorithms for Grid Computing Decentralized Grid Scheduling Using Genetic Algorithms Nature Inspired Meta-heuristics for Grid Scheduling: Single and Multi-objective Optimization Approaches Efficient Batch Job Scheduling in Grids Using Cellular Memetic Algorithms P2P B&B and GA for the Flow-Shop Scheduling Problem Peer-to-Peer Neighbor Selection Using Single and Multi-objective Population-Based Meta-heuristics An Adaptive Co-ordinate Based Scheduling Mechanism for Grid Resource Management with Resource Availabilities | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 environment. This volume presents meta-heuristics approaches for Grid scheduling problems. Due to the complex nature of the problem, meta-heuristics are primary techniques for the design and implementation of efficient Grid schedulers. The volume brings new ideas, analysis, implementations and evaluation of meta-heuristic techniques for Grid scheduling, which make this volume novel in several aspects. The 13 chapters of this volume have identified several important formulations of the problem, which we believe will serve as a reference for the researchers in the Grid computing community. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable | ||
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| 700 | 1 | |a Abraham, Ajith, |d 1968- |4 pbd | |
| 700 | 1 | |a Xhafa, Fatos. |4 pbd | |
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