£107.58

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£108 today · all-time low £107 (Sep 2026) · usually £108

Springer Scheduling in Parallel Computing Systems - Fuzzy & Annealing

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Description

Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques explores innovative approaches to solving complex scheduling problems in parallel computing environments. This Springer publication (volume 510 in The Springer International Series in Engineering and Computer Science) presents both static and dynamic scheduling methods using fuzzy logic, mean-field annealing, and simulated annealing techniques. These nature-inspired paradigms enable systems to adapt intelligently to environmental changes, making them responsive and flexible in demanding computing scenarios. The book combines theoretical foundations with practical applications, demonstrating how fuzzy and annealing methods can improve system performance, resource allocation, and task management in parallel architectures. Ideal for researchers, practitioners, and students studying advanced scheduling algorithms and intelligent computing systems.

Key Features

Covers static and dynamic scheduling techniques for parallel computing systems using advanced algorithmic approaches.

Explores fuzzy logic methods as an intelligent paradigm for adaptive scheduling and decision-making in computing environments.

Presents simulated annealing and mean-field annealing techniques inspired by natural phenomena for optimization problems.

Part of The Springer International Series in Engineering and Computer Science (volume 510), ensuring academic rigour and peer-reviewed content.

Addresses system adaptation and intelligent response to sudden environmental changes in parallel computing architectures.

Combines theoretical frameworks with practical applications for researchers and practitioners in computer science.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
11 October 2012
Listed Since
03 March 2013

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