Abstract
In this paper we study a general energy minimization problem for mixed-criticality systems on multi-cores, considering different system operation modes, and static & dynamic energy consumption. While making global scheduling decisions, trade-offs in energy consumption between different modes and also between static and dynamic energy consumption are required. Thus, such a problem is challenging. To this end, we first develop an optimal solution analytically for unicore and a corresponding low-complexity heuristic. Leveraging this, we further propose energy-aware mapping techniques and explore energy savings for multi-cores. To the best of our knowledge, we are the first to investigate mixed-criticality energy minimization in such a general setting. The effectiveness of our approaches in energy reduction is demonstrated through both extensive simulations and a realistic industrial application.
| Original language | English |
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| Title of host publication | 2016 IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2016 |
| Editors | R Davis |
| Place of Publication | Piscataway, NJ, USA |
| Publisher | IEEE |
| Pages | 1-12 |
| Number of pages | 12 |
| ISBN (Electronic) | 978-1-4673-8641-8 |
| ISBN (Print) | 978-1-4673-8639-5 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 22th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'16) - Vienna, Austria Duration: 11 Apr 2016 → 14 Apr 2016 |
Conference
| Conference | 22th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'16) |
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| Country/Territory | Austria |
| City | Vienna |
| Period | 11/04/16 → 14/04/16 |
Keywords
- Energy consumption
- Job shop scheduling
- Minimization
- Power demand
- Processor scheduling
- Program processors
- Vehicle dynamics
