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Energy-Efficient Speed Scheduling for Real-Time Tasks under Thermal Constraints

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4 Author(s)
Shengquan Wang ; Dept. of Comput. & Inf. Sci., Univ. of Michigan-Dearborn, Dearborn, MI, USA ; Jian-Jia Chen ; Zhenjun Shi ; Thiele, L.

Thermal constraints have limited the performance improvement of modern computing systems in recent years. As a system could fail if the peak temperature exceeds its thermal constraint, overheating should be avoided while designing a system. Moreover, higher temperature also leads to higher leakage power consumption. This paper explores dynamic thermal management to minimize the energy consumption for a specified computing demand under the thermal constraint. We develop energy-efficient speed scheduling schemes for frame-based real-time tasks under thermal constraints. Experimental results reveal the effectiveness of the proposed scheme in terms of energy consumption in comparison with the reactive schemes in the literature.

Published in:

Embedded and Real-Time Computing Systems and Applications, 2009. RTCSA '09. 15th IEEE International Conference on

Date of Conference:

24-26 Aug. 2009