The energy consumption issue in distributed computing systems raises various monetary, environmental and system performance concerns. Electricity consumption in the US doubled from 2000 to 2005. From a financial and environmental standpoint, reducing the consumption of electricity is important, yet these reforms must not lead to performance degradation of the computing systems. These contradicting constraints create a suite of complex problems that need to be resolved in order to lead to 'greener' distributed computing systems. This book brings together a group of outstanding researchers that investigate the different facets of green and energy efficient distributed computing.
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ALBERT Y. ZOMAYA is the Chair Professor of High Performance Computing & Networking in the School of Information Technologies, The University of Sydney. He is a Fellow of the IEEE, the American Association for the Advancement of Science, and the Institution of Engineering and Technology, and a Distinguished Engineer of the ACM. He has authored seven books and some 400 articles in technical journals.
YOUNG CHOON LEE, PhD, is with the Centre for Distributed and High Performance Computing, School of Information Technologies, The University of Sydney.
Offers valuable insight into the complex world of distributed computing systems
Distributed computing allows multiple autonomous computers to work together to solve complex computational problems. The increased processing power comes at the cost of increased electrical power usage. Greener distributed computing systems would allow users to exploit the power of these systems while avoiding adverse environmental effects and exorbitant energy costs.
One of the first books of its kind, this timely reference illustrates the need for, and the state of, increasingly energy-efficient distributed computing systems. Featuring the latest research findings on emerging topics by well-known scientists, it explains how constraints on energy consumption create a suite of complex engineering problems that need to be resolved in order to lead to "greener" distributed computing systems.
Energy-Efficient Distributed Computing Systems:
An ideal text for senior undergraduates and postgraduate students who study computer science and engineering, the book will also appeal to researchers, engineers, and IT professionals who work in the fields of energy-efficient computing.
Offers valuable insight into the complex world of distributed computing systems
Distributed computing allows multiple autonomous computers to work together to solve complex computational problems. The increased processing power comes at the cost of increased electrical power usage. Greener distributed computing systems would allow users to exploit the power of these systems while avoiding adverse environmental effects and exorbitant energy costs.
One of the first books of its kind, this timely reference illustrates the need for, and the state of, increasingly energy-efficient distributed computing systems. Featuring the latest research findings on emerging topics by well-known scientists, it explains how constraints on energy consumption create a suite of complex engineering problems that need to be resolved in order to lead to "greener" distributed computing systems.
Energy-Efficient Distributed Computing Systems:
An ideal text for senior undergraduates and postgraduate students who study computer science and engineering, the book will also appeal to researchers, engineers, and IT professionals who work in the fields of energy-efficient computing.
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Zustand: New. The energy consumption issue in distributed computing systems raises various monetary, environmental and system performance concerns. Electricity consumption in the US doubled from 2000 to 2005. Series: Wiley Series on Parallel and Distributed Computing. Num Pages: 856 pages, Illustrations. BIC Classification: UTR. Category: (P) Professional & Vocational. Dimension: 242 x 161 x 49. Weight in Grams: 1272. . 2012. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780470908754
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