Paperback. As the demand for computing surges, the need for sustainable solutions has never been more urgent. Energy-efficient algorithms and green data centers are the at the forefront of sustainable computing which aims to reduce carbon footprints while maintaining high- performance capabilities. Traditional data centers consume a vast amount of electricity, contributing to the environmental impact. By integrating energy efficient workloads and renewable energy sources, green data centers can minimize waste and enhance efficiency. These advancements support environmental sustainability while driving cost savings and operational resilience, paving the way for a greener digital future. Energy Efficient Algorithms and Green Data Centers for Sustainable Computing explores sustainable computing, including advancements in energy efficient algorithms and green data center strategies. It addresses the environmental challenges and increasing energy demands of modern computing. This book covers topics such as energy efficient algorithms, green data centers, and sustainability metrics and assessments, and is an excellent resource for researchers, academicians, data scientists, environmental scientists, software developers, and technology entrepreneurs. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Titolo: Energy Efficient Algorithms and Green Data Centers for Sustainable Computing (Paperback)
Editore: IGI Global
Data di pubblicazione: 2025
Lingua: Inglese
ISBN 13: 9798337307671
Rilegatura: Paperback
Condizione: new

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"This book addresses the urgent environmental challenges posed by the rising energy demands of modern computational systems, presenting both theoretical insights and practical solutions for reducing carbon footprints while maintaining high levels of functionality. A key aim of the book is to promote energy efficiency in algorithm design, encouraging researchers and developers to consider energy savings as a priority in computational processes across diverse applications from AI and machine learning to big data and cloud computing"-- Provided by publisher.

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