Handbook of Energy-Aware and Green Computing, Volume 1  book cover
1st Edition

Handbook of Energy-Aware and Green Computing, Volume 1

ISBN 9780429107818
Published January 24, 2012 by Chapman and Hall/CRC
663 Pages

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Book Description

Implementing energy-efficient CPUs and peripherals as well as reducing resource consumption have become emerging trends in computing. As computers increase in speed and power, their energy issues become more and more prevalent. The need to develop and promote environmentally friendly computer technologies and systems has also come to the forefront

Table of Contents

Components, Platforms, and Architectures. Energy-Efficient Storage. Green Networking. Algorithms. Real-Time Systems. Monitoring, Modeling, and Evaluation. Software Systems. Data Centers and Large-Scale Systems. Green Applications. Social and Environmental Issues.

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Ishfaq Ahmad is a professor of computer science and engineering at the University of Texas at Arlington. An IEEE fellow, Dr. Ahmad is a co-founder of the International Green Computing Conference and the founding editor-in-chief of Sustainable Computing: Informatics and Systems. He is also an editor of the Journal of Parallel and Distributed Computing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Parallel and Distributed Systems, and Hindawi Journal of Electrical and Computer Engineering. His research focuses on parallel and distributed computing systems and their applications, optimization algorithms, multimedia systems, video compression, and energy-aware green computing.

Sanjay Ranka is a professor in the Department of Computer Information Science and Engineering at the University of Florida. A fellow of the IEEE and AAAS, Dr. Ranka is the associate editor-in-chief of the Journal of Parallel and Distributed Computing and an associate editor of IEEE Transactions on Parallel and Distributed Computing, Sustainable Computing: Systems and Informatics, Knowledge and Information Systems, and the International Journal of Computing. His research interests include energy efficient computing, high performance computing, data mining, and informatics.