Volume 4 Number 2 (Feb. 2009)
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JCP 2009 Vol.4(2): 103-111 ISSN: 1796-203X
doi: 10.4304/jcp.4.2.103-111

Enhanced Energy-Aware Feedback Scheduling of Embedded Control Systems

Feng Xia1, 4, Longhua Ma2, Wenhong Zhao3, Youxian Sun2, Jinxiang Dong1
1College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
2State Key Lab of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
3College of Mechanical and Electrical Engineering, Zhejiang University of Technology, Hangzhou 310032, China
4Faculty of Information Technology, Queensland University of Technology, Brisbane QLD 4001, Australia


Abstract—Dynamic voltage scaling (DVS) is one of the most effective techniques for reducing energy consumption in embedded and real-time systems. However, traditional DVS algorithms have inherent limitations on their capability in energy saving since they rarely take into account the actual application requirements and often exploit fixed timing constraints of real-time tasks. Taking advantage of application adaptation, an enhanced energy-aware feedback scheduling (EEAFS) scheme is proposed, which integrates feedback scheduling with DVS. To achieve further reduction in energy consumption over pure DVS while not jeopardizing the quality of control, the sampling period of each control loop is adapted to its actual control performance, thus exploring flexible timing constraints on control tasks. Extensive simulation results are given to demonstrate the effectiveness of EEAFS under different scenarios. Compared with the optimal pure DVS scheme, EEAFS saves much more energy while yielding comparable control performance.

Index Terms—Feedback Scheduling, Embedded Control Systems, Energy Management, Application Adaptation.

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Cite: Feng Xia, Longhua Ma, Wenhong Zhao, Youxian Sun, Jinxiang Dong, "Enhanced Energy-Aware Feedback Scheduling of Embedded Control Systems," Journal of Computers vol. 4, no. 2, pp. 103-111, 2009.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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