Name: Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing (en Inglés)
Price: 95780.00 CLP
Availability: InStock
Author: Soares
ISBN: 9788793519084

portada Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing (en Inglés)

Formato

Libro Físico

Editorial

River Publishers

Autor

Soares

Idioma

Inglés

Encuadernación

Tapa Dura

ISBN13

9788793519084

Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing (en Inglés)

Soares (Autor) · River Publishers · Tapa Dura

Libro Físico

$ 95.780

$ 159.640

Ahorras: $ 63.860

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing (en Inglés)"

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 Allocation Each of the topics is illustrated with examples based on realistic computational platforms such as Network-on-Chip manycore processors, grids and private cloud environments.