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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