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Automatic run-time selection of power policies for operating systems
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Source Design, Automation, and Test in Europe archive
Proceedings of the conference on Design, automation and test in Europe: Proceedings table of contents
Munich, Germany
SESSION: Power-efficient hardware/software architectures table of contents
Pages: 508 - 513  
Year of Publication: 2006
ISBN:3-9810801-0-6
Authors
Nathaniel Pettis  Purdue University, West Lafayette, Indiana
Jason Ridenour  Purdue University, West Lafayette, Indiana
Yung-Hsiang Lu  Purdue University, West Lafayette, Indiana
Sponsors
: The EDA Consortium
EDAA : European Design and Automation Association
IEEE-CS\DATC : The IEEE Computer Society
Publisher
European Design and Automation Association  3001 Leuven, Belgium, Belgium
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Downloads (6 Weeks): 1,   Downloads (12 Months): 19,   Citation Count: 0
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ABSTRACT

A significant volume of research has concentrated on operating-system directed power management (OSPM). The primary focus of previous research has been the development of OSPM policies. Under different conditions, one policy may outperform another and vice versa. In this paper, we explain how to select the best policies at run-time without user or administrator intervention. We present a hardware-neutral architecture portable across different platforms running Linux. Our experiments reveal that changing policies at run-time can adapt to workloads more quickly than using any of the policies individually.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Advanced Configuration and Power Interface. http://www.acpi.info.
 
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L. Benini, A. Bogliolo, G. A. Paleologo, and G. D. Micheli. Policy Optimization for Dynamic Power Management. IEEE Trans. on CAD of Integrated Circuits and Systems, 18(6):813--833, June 1999.
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Microsoft Corporation. OnNow Pow. Mgmt. Architecture for Applications, December 2001.
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Collaborative Colleagues:
Nathaniel Pettis: colleagues
Jason Ridenour: colleagues
Yung-Hsiang Lu: colleagues