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by Yung-hsiang Lu, Giovanni De Micheli
In Proceedings of the IEEE Great Lakes Symposium
http://www.gigascale.org/pubs/12/glsvlsi-99.ps
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Abstract:
Dynamic power management can be effective for designing low-power systems. In many systems, requests are clustered into sessions. This paper proposes an adaptive algorithm that can predict session lengths and shut down components between sessions to save power. Compared to other approaches, simulations show that this algorithm can reduce power consumption in hard disks with less impact on performance or reliability. 1.
Citations
|
239
|
UNIX disk access patterns
– Ruemmler, Wilkes
- 1993
|
|
155
|
Adaptive disk spin-down policies for mobile computers
– Douglis, Krishnan
- 1995
|
|
145
|
Thwarting the power-hungry disk
– Douglis, Krishnan, et al.
- 1994
|
|
137
|
A quantitative analysis of disk drive power management in portable computers
– Li, Kumpf, et al.
- 1994
|
|
122
|
A Predictive System Shutdown Method for Energy Saving
– Hwang, Wu
- 1997
|
|
108
|
Software Strategies for Portable Computer Energy Management
– Lorch, Smith
- 1998
|
|
108
|
Predictive System Shutdown and Other Architecture Techniques for Energy Efficient Programmable Computation
– Srivastava, Chandrakasan, et al.
- 1996
|
|
73
|
Policy Optimization for Dynamic Power Management
– Benini, Paleologo, et al.
- 1999
|
|
54
|
Dynamic Power Management for non-stationary service requests
– Chung, Benini, et al.
- 1999
|
|
45
|
Modeling power management for hard disks
– Greenawalt
- 1994
|
|
20
|
Policy Optimization for Dynamic Power Management
– Paleologo, Benini, et al.
- 1998
|
|
9
|
Dynamic power management of electronic systems
– Benini, Bogliolo, et al.
- 1998
|
|
4
|
Power management in mobile computing
– Udani, Smith
- 1996
|
|
2
|
power guide ’99
– Mobile
|