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Powering Down: Smart power management is all about doing more with the resources we have.

Published: 01 November 2007 Publication History

Abstract

Power management is a topic of interest to everyone. In the beginning there was the desktop computer. It ran at a fixed speed and consumed less power than the monitor it was plugged into. Where computers were portable, their sheer size and weight meant that you were more likely to be limited by physical strength than battery life. It was not a great time for power management. Now consider the present. Laptops have increased in speed by more than 5,000 times. Battery capacity, sadly, has not. With hardware becoming increasingly mobile, however, users are demanding that battery life start matching the way they work. People want to work from cafes. Long-haul flights are now perceived as the ideal opportunity to finish a presentation. Two hours of battery life just isn’t going to cut it; users are looking for upwards of eight hours. What’s drawing that power, and more importantly, how can we manage it better?

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Published In

cover image Queue
Queue  Volume 5, Issue 7
Power Management
November/December 2007
50 pages
ISSN:1542-7730
EISSN:1542-7749
DOI:10.1145/1331287
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2007
Published in QUEUE Volume 5, Issue 7

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  • (2021)Towards Automated System-Level Energy-Efficiency Optimisation using Machine LearningProceedings of the Twelfth ACM International Conference on Future Energy Systems10.1145/3447555.3466566(274-275)Online publication date: 22-Jun-2021
  • (2021)Automated Selection of Energy-efficient Operating System ConfigurationsProceedings of the Twelfth ACM International Conference on Future Energy Systems10.1145/3447555.3465327(309-315)Online publication date: 22-Jun-2021
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