Quantitative comparison of power management algorithms

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

Research output: Contribution to journalConference articlepeer-review

88 Citations (Scopus)


Dynamic power management saves power by shutting down idle devices. Several management algorithms have been proposed and demonstrated to be effective in certain applications. We quantitatively compare the power saving and performance impact of these algorithms on hard disks of a desktop and 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
Article number840010
Pages (from-to)20-26
Number of pages7
JournalProceedings -Design, Automation and Test in Europe, DATE
Publication statusPublished - 2000
EventDesign, Automation and Test in Europe Conference and Exhibition 2000, DATE 2000 - Paris, France
Duration: 2000 Mar 272000 Mar 30

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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