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Produktbild: Metaheuristics for Scheduling in Distributed Computing Environments
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Metaheuristics for Scheduling in Distributed Computing Environments

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.10.2010

Abbildungen

XV, 364 p.

Herausgeber

Fatos Xhafa + weitere

Verlag

Springer Berlin

Seitenzahl

364

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

581 g

Auflage

Softcover reprint of hardcover 1st edition 2008

Sprache

Englisch

ISBN

978-3-642-08875-9

Beschreibung

Portrait

Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.10.2010

Abbildungen

XV, 364 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

364

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

581 g

Auflage

Softcover reprint of hardcover 1st edition 2008

Sprache

Englisch

ISBN

978-3-642-08875-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Metaheuristics for Scheduling in Distributed Computing Environments
  • 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.