Computer Science – Other Computer Science
Scientific paper
2007-10-25
Dans Design, Automation and Test in Europe - DATE'05, Munich : Allemagne (2005)
Computer Science
Other Computer Science
Submitted on behalf of EDAA (http://www.edaa.com/)
Scientific paper
When applying Dynamic Power Management (DPM) technique to pervasively deployed embedded systems, the technique needs to be very efficient so that it is feasible to implement the technique on low end processor and tight-budget memory. Furthermore, it should have the capability to track time varying behavior rapidly because the time varying is an inherent characteristic of real world system. Existing methods, which are usually model-based, may not satisfy the aforementioned requirements. In this paper, we propose a model-free DPM technique based on Q-Learning. Q-DPM is much more efficient because it removes the overhead of parameter estimator and mode-switch controller. Furthermore, its policy optimization is performed via consecutive online trialing, which also leads to very rapid response to time varying behavior.
Li Min
Wu Xiaobo
Yan Xiaolang
Yao Richard
No associations
LandOfFree
Q-DPM: An Efficient Model-Free Dynamic Power Management Technique does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Q-DPM: An Efficient Model-Free Dynamic Power Management Technique, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Q-DPM: An Efficient Model-Free Dynamic Power Management Technique will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-432296