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Dynamic Resource Allocation Embedded (20 results)
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Dynamic Resource Allocation in Embedded, High-performance and Cloud Computing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Dynamic Resource Allocation in Embedded, High-performance and Cloud Computing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New.
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Condition: New. pp. 178.
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Condition: New. pp. 178.
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Condition: As New. Unread book in perfect condition.
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Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing (River Publishers Series in Information Science and Technology)
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Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing
Published by River Publishers Okt 2024, 2024
ISBN 10: 877004452X ISBN 13: 9788770044523
Language: English
Taschenbuch. Condition: Neu. 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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Condition: New. pp. 178.
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Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Hardcover. Condition: Brand New. 152 pages. 9.50x6.50x0.50 inches. In Stock.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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US$ 119.84
US$ 6.61 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Leando Soares Indrusiak, Piotr Dziurzanski, Amit Kumar SinghThe 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.
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Buch. Condition: Neu. Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing | Leandro Soares Indrusiak (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2016 | River Publishers | EAN 9788793519084 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 toharmonise 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 ModelsAdmission ControlFeedback-based Allocation and OptimisationSearch-based Allocation HeuristicsDistributed Allocation based on Swarm IntelligenceValue-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.
