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

Meikang Qiu, Chun Xue, Zili Shao, Edwin H.M. Sha

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

26 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationProceedings - 2007 Design, Automation and Test in Europe Conference and Exhibition, DATE 2007
Number of pages6
Publication statusPublished - 4 Sep 2007
Event2007 Design, Automation and Test in Europe Conference and Exhibition - Nice Acropolis, France
Duration: 16 Apr 200720 Apr 2007


Conference2007 Design, Automation and Test in Europe Conference and Exhibition
CityNice Acropolis

ASJC Scopus subject areas

  • Engineering(all)

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