Quantitative comparison of power management algorithms

Yung Hsiang Lu, Eui Young Chung, Tajana Šimunić, Luca Benini, Giovanni De Micheli

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Dynamic power management saves power by shutting down idle devices. Several management algorithms have been proposed and demonstrated effective in certain applications. We quantitatively compare the power saving and performance impact of these algorithms on hard disks of a desktop and a notebook computers. This paper has three contributions. First, we build a framework in Windows NT to implement power managers running realistic workloads and directly interacting with users. Second, we define performance degradation that reflects user perception. Finally, we compare power saving and performance of existing algorithms and analyze the difference.

Original languageEnglish
Title of host publicationDesign, Automation, and Test in Europe
Subtitle of host publicationThe Most Influential Papers of 10 Years Date
PublisherSpringer Netherlands
Pages207-219
Number of pages13
ISBN (Print)9781402064876
DOIs
Publication statusPublished - 2008 Dec 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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    Lu, Y. H., Chung, E. Y., Šimunić, T., Benini, L., & De Micheli, G. (2008). Quantitative comparison of power management algorithms. In Design, Automation, and Test in Europe: The Most Influential Papers of 10 Years Date (pp. 207-219). Springer Netherlands. https://doi.org/10.1007/978-1-4020-6488-3_16