Overview
- First book on scheduling problems in Manufacturing Systems
Part of the book series: Studies in Computational Intelligence (SCI, volume 146)
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About this book
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.
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Table of contents (13 chapters)
Bibliographic Information
Book Title: Metaheuristics for Scheduling in Distributed Computing Environments
Editors: Fatos Xhafa, Ajith Abraham
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-69277-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-69260-7Published: 19 August 2008
Softcover ISBN: 978-3-642-08875-9Published: 28 October 2010
eBook ISBN: 978-3-540-69277-5Published: 08 September 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XV, 364
Topics: Mathematical and Computational Engineering, Manufacturing, Machines, Tools, Processes, Artificial Intelligence