Metaheuristics for Scheduling in Distributed Computing Environments

Ajith Abraham

ISBN 10: 3642088759 / ISBN 13: 9783642088759

Editore: Springer Berlin Heidelberg, 2010

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Druck auf Anfrage Neuware - Printed after ordering - 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 14 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.

Codice articolo 9783642088759

Dati bibliografici

• Titolo: Metaheuristics for Scheduling in Distributed Computing Environments
• Editore: Springer Berlin Heidelberg
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 3642088759
• ISBN 13: 9783642088759
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 21 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 21 millimetri di profondità
• Peso: 581 grammi

Descrizione articolo

Riassunto

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 14 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.

Dalla quarta di copertina

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.