Neuware - Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing covers dynamic resource allocation heuristics for manycore systems, aiming to provide appropriate guarantees on performance and energy efficiency.

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Bibliographic Details

Title: Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing
Publisher: River Publishers Okt 2024
Publication Date: 2024
Language: English
ISBN 10: 877004452X
ISBN 13: 9788770044523
Binding: Taschenbuch
Condition: Neu
Dimensions: 234 millimeters width by 156 millimeters height by 0 millimeters depth
Weight: 453 grams

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Synopsis

The availability of many-core computing platforms enables a wide variety of technical solutions for systems across the embedded, high-performance and cloud computing domains. However, large scale manycore systems are notoriously hard to optimise. Choices regarding resource allocation alone can account for wide variability in timeliness and energy dissipation (up to several orders of magnitude). Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing covers dynamic resource allocation heuristics for manycore systems, aiming to provide appropriate guarantees on performance and energy efficiency. It addresses different types of systems, aiming to harmonise the approaches to dynamic allocation across the complete spectrum between systems with little flexibility and strict real-time guarantees all the way to highly dynamic systems with soft performance requirements. Technical topics presented in the book include: • Load and Resource Models• Admission Control• Feedback-based Allocation and Optimisation• Search-based Allocation Heuristics• Distributed Allocation based on Swarm Intelligence• Value-Based AllocationEach of the topics is illustrated with examples based on realistic computational platforms such as Network-on-Chip manycore processors, grids and private cloud environments.

About the Author

Leando Soares Indrusiak, Piotr Dziurzanski, Amit Kumar Singh

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