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Añadir al carritoHardcover. Condición: Brand New. 304 pages. 9.18x6.12x9.45 inches. In Stock.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1032916281 ISBN 13: 9781032916286
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Añadir al carritoHardcover. Condición: new. Hardcover. This book is the first to provide an overview of variable capacity scheduling and how it helps balance the growth of computing with its increasing environmental impact by creating more resilient and efficient systems that adapt to the dynamic nature of resource availability, optimizing utilization and minimizing disruptions. The book covers all aspects of variable capacity scheduling from a technical and a societal perspective. It considers the new age of renewable power generation and how computing services can contribute to sustainability and grid decarbonization. Contributors investigate techniques that can be deployed for schedulers to cope with, or even benefit from, changes in the number of computing resources and the nature of the power sources. They survey emerging computing devices, such as edge servers, as alternatives to classical cloud computing platforms; they identify applications for monitoring energy and regulating power; and they investigate energy minimization and risk-aware scheduling in real-time systems, asking: How can a server with a variable processing speed schedule jobs with hard deadlines while minimizing its energy consumption? The authors address the societal impact of computing, exploring how the social sciences play a critical role in solving the computing sustainability challenge and including a holistic analysis of current and future approaches, taking the whole life-cycle and rebound effects into account. Presenting all the corresponding challenges and opportunities of variable capacity scheduling, this is an excellent introduction to the topic for students, researchers, computing scientists, or concerned citizens interested in sustainability. This book is the first to provide an overview of variable capacity scheduling and how it helps balance the growth of computing with its growing environmental impact by creating more resilient and efficient systems that adapt to the dynamic nature of resource availability, optimizing utilization and minimizing disruptions. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1032916281 ISBN 13: 9781032916286
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Añadir al carritoHardcover. Condición: new. Hardcover. This book is the first to provide an overview of variable capacity scheduling and how it helps balance the growth of computing with its increasing environmental impact by creating more resilient and efficient systems that adapt to the dynamic nature of resource availability, optimizing utilization and minimizing disruptions. The book covers all aspects of variable capacity scheduling from a technical and a societal perspective. It considers the new age of renewable power generation and how computing services can contribute to sustainability and grid decarbonization. Contributors investigate techniques that can be deployed for schedulers to cope with, or even benefit from, changes in the number of computing resources and the nature of the power sources. They survey emerging computing devices, such as edge servers, as alternatives to classical cloud computing platforms; they identify applications for monitoring energy and regulating power; and they investigate energy minimization and risk-aware scheduling in real-time systems, asking: How can a server with a variable processing speed schedule jobs with hard deadlines while minimizing its energy consumption? The authors address the societal impact of computing, exploring how the social sciences play a critical role in solving the computing sustainability challenge and including a holistic analysis of current and future approaches, taking the whole life-cycle and rebound effects into account. Presenting all the corresponding challenges and opportunities of variable capacity scheduling, this is an excellent introduction to the topic for students, researchers, computing scientists, or concerned citizens interested in sustainability. This book is the first to provide an overview of variable capacity scheduling and how it helps balance the growth of computing with its growing environmental impact by creating more resilient and efficient systems that adapt to the dynamic nature of resource availability, optimizing utilization and minimizing disruptions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, 2026
ISBN 10: 1032916281 ISBN 13: 9781032916286
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, 2026
ISBN 10: 1032916281 ISBN 13: 9781032916286
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Anne Benoit is Full Professor in the Computer Science Laboratory LIP at ENS Lyon, France, and a Senior Member of Institut Universitaire de France. She is the Editor in Chief of Parco, and she has been Associate Editor in Chief of JPDC and Parco. S.
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Añadir al carritoBuch. Condición: Neu. Scheduling Variable Capacity Resources for Sustainability | Anne Benoit (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781032916286 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is the first to provide an overview of variable capacity scheduling and how it helps balance the growth of computing with its growing environmental impact by creating more resilient and efficient systems that adapt to the dynamic nature of resource availability, optimizing utilization and minimizing disruptions.