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Metaheuristics for Scheduling in Distributed Computing Environments

  • Editors
  • Fatos Xhafa
  • Ajith Abraham

Part of the Studies in Computational Intelligence book series (SCI, volume 146)

Table of contents

  1. Front Matter
  2. Fatos Xhafa, Ajith Abraham
    Pages 1-37
  3. A. LaTorre, J. M. Peña, V. Robles, P. de Miguel
    Pages 95-120
  4. EunJoung Byun, SungJin Choi, HongSoo Kim, ChongSun Hwang, SangKeun Lee
    Pages 153-171
  5. Jia Yu, Rajkumar Buyya, Kotagiri Ramamohanarao
    Pages 173-214
  6. George Iordache, Marcela Boboila, Florin Pop, Corina Stratan, Valentin Cristea
    Pages 215-246
  7. Ajith Abraham, Hongbo Liu, Crina Grosan, Fatos Xhafa
    Pages 247-272
  8. Fatos Xhafa, Enrique Alba, Bernabé Dorronsoro, Bernat Duran, Ajith Abraham
    Pages 273-299
  9. A. Bendjoudi, S. Guerdah, M. Mansoura, N. Melab, E. -G. Talbi
    Pages 301-321
  10. Back Matter

About this book

Introduction

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.

Keywords

Markov Peer-to-Peer computing Workflow applications algorithm algorithms computational intelligence computer-aided design (CAD) evolution genetic algorithms heuristics intelligence metaheuristic model multi-objective optimization optimization

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-69277-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-69260-7
  • Online ISBN 978-3-540-69277-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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