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Power management of devices: when should i switch off?

Published: 18 August 2008 Publication History

Abstract

Increasing power costs has renewed interest in software based power optimizations. One of the key question that any software based mechanism needs to decide is: How long should I wait before changing the power state of a device? In this paper, we study the solution space of this problem based on the workload history and device characteristics. We model the workload as a distribution of idle times (collected online) and the device characteristics using break-even time. Our analysis shows that one should not do any power savings if the mean of the distribution is lower than break even time. We also show that being greedy, (i.e. wait time = 0) gives the highest power savings for most of the well known distributions. Our model is also able to capture special cases such as bimodal distributions.

References

[1]
L. Benini, A. Bogliolo, and G. Micheli. A survey of design techniques for system-level dynamic power management. In IEEE Transactions on VLSI Systems, 2000.
[2]
Y.-H. Lu, E.-Y. Chung, T. Šimunić, L. Benini, and G. D. Micheli. Quantitative comparison of power management algorithms. In DATE, pages 20--26, 2000.

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cover image ACM Conferences
PODC '08: Proceedings of the twenty-seventh ACM symposium on Principles of distributed computing
August 2008
474 pages
ISBN:9781595939890
DOI:10.1145/1400751
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 August 2008

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  1. dynamic power management
  2. power states

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  • Demonstration

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PODC '08

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Overall Acceptance Rate 740 of 2,477 submissions, 30%

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