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Springer Metaheuristics for Scheduling in Distributed Computing

Name: Springer Metaheuristics for Scheduling in Distributed Computing
Brand: Springer
Price: 108.0 GBP
Availability: InStock

AI & Machine Learning

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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

Brand: Springer
Format: paperback
ASIN: 3642088759
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 28 October 2010
Listed Since: 20 September 2010

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Springer Metaheuristics for Scheduling in Distributed Computing

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