Energy minimization with soft real-time and DVS for uniprocessor and multiprocessor embedded systems

Authors:
Meikang Qiu;Chun Xue;Zili Shao;Edwin H.-M. Sha
Affiliations:
University of Texas at Dallas, Richardson, Texas;University of Texas at Dallas, Richardson, Texas;Hong Kong Polytechnic University Hung Hom, Kowloon, Hong Kong;University of Texas at Dallas, Richardson, Texas
Venue:
Proceedings of the conference on Design, automation and test in Europe
Year:
2007

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Abstract

Energy-saving is extremely important in real-time embedded systems. Dynamic Voltage Scaling (DVS) is one of the prime techniques used to achieve energy-saving. Due to the uncertainties in execution times of some tasks of systems, this paper models each varied execution time as a random variable. By using probabilistic approach, we propose two optimal algorithms, one for uniprocessor and one for multiprocessor to explore soft real-time embedded systems and avoid over-designing them. Our goal is to minimize the expected total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The solutions can be applied to both hard and soft real-time systems. The experimental results show that our approach achieves significant energy-saving than previous work.