£107.61

Springer Metaheuristics for Scheduling in Distributed Computing

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Description

Grid computing represents a major paradigm in modern computing. To reach high performance levels, it is necessary to use techniques that can efficiently and adaptively allocate jobs and applications across large-scale, heterogeneous, and dynamic environments. This volume from the Studies in Computational Intelligence series focuses on meta-heuristics approaches specifically designed for Grid scheduling problems. Because these scheduling problems are inherently complex, meta-heuristics serve as the primary techniques for designing and implementing efficient Grid schedulers. This book provides a deep look into the subject by bringing together new ideas, detailed analysis, practical implementations, and rigorous evaluations. It is an essential resource for those studying how to manage resources in distributed systems and looking for advanced algorithmic solutions to modern computing challenges.

Key Features

Explores meta-heuristics approaches specifically designed to solve complex Grid scheduling problems in distributed environments.

Provides technical analysis and new ideas for allocating jobs and applications to available resources efficiently.

Addresses the challenges of managing large-scale, highly heterogeneous, and dynamic computing environments.

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Part of the Studies in Computational Intelligence series, offering academic depth in computer science and AI.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 October 2010
Listed Since
20 September 2010

Barcode

No barcode data available

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