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.