Abstract
Modern computers allow software to adjust power management settings like speed and sleep modes to decrease the power consumption, possibly at the price of a decreased performance. The impact of these techniques mainly depends on the schedule of the tasks. In this article, a survey on underlying theoretical results on power management, as well as offline scheduling algorithms that aim at minimizing the energy consumption under real-time constraints, is given.
| Original language | Undefined |
|---|---|
| Pages (from-to) | 3-19 |
| Number of pages | 17 |
| Journal | Journal of scheduling |
| Volume | 19 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Feb 2016 |
Keywords
- EWI-26826
- Energy minimization
- Scheduling
- Algorithmic power management
- Speed scaling
- METIS-315593
- IR-99371
- Sleep modes