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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - Design, Automation and Test in Europe Conference and Exhibition, DATE 2007 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1641-1646 |
| Number of pages | 6 |
| ISBN (Print) | 3981080122, 9783981080124 |
| DOIs | |
| State | Published - 2007 |
| Externally published | Yes |
| Event | 2007 Design, Automation and Test in Europe Conference and Exhibition, DATE 2007 - Nice Acropolis, France Duration: 16 Apr 2007 → 20 Apr 2007 |
Publication series
| Name | Proceedings -Design, Automation and Test in Europe, DATE |
|---|---|
| ISSN (Print) | 1530-1591 |
Conference
| Conference | 2007 Design, Automation and Test in Europe Conference and Exhibition, DATE 2007 |
|---|---|
| Country/Territory | France |
| City | Nice Acropolis |
| Period | 16/04/07 → 20/04/07 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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