An Improved Task Scheduling Algorithm for Efficient Dynamic Power Management in Real-Time Systems 


Vol. 31,  No. 4, pp. 393-401, Apr.  2006


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  Abstract

Energy consumption is an important design parameter for battery-operated embedded systems. Dynamic power management is one of the most well-known low-power design techniques. This paper proposes an online realtime scheduling algorithm, which we call energy-aware realtime scheduling using slack stealing (EARSS). The proposed algorithm gives the highest priority to the task with the largest degree of device overlap when the slack time exists. Scheduling result enables an efficient power management by reducing the number of state transitions. Experimental results show that the proposed algorithm can save the energy by 23% on average compared to the DPM-enabled system scheduled by the EDF algorithm.

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  Cite this article

[IEEE Style]

W. Lee and S. Hwang, "An Improved Task Scheduling Algorithm for Efficient Dynamic Power Management in Real-Time Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 4, pp. 393-401, 2006. DOI: .

[ACM Style]

Won-Gyu Lee and Sun-Young Hwang. 2006. An Improved Task Scheduling Algorithm for Efficient Dynamic Power Management in Real-Time Systems. The Journal of Korean Institute of Communications and Information Sciences, 31, 4, (2006), 393-401. DOI: .

[KICS Style]

Won-Gyu Lee and Sun-Young Hwang, "An Improved Task Scheduling Algorithm for Efficient Dynamic Power Management in Real-Time Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 4, pp. 393-401, 4. 2006.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880