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| Title | An Improved Dvfs Algorithm For Energy-Efficient Real-Time Task Scheduling |
|---|---|
| ID_Doc | 8254 |
| Authors | Yu K.; Yang Y.; Xiao H.; Chen J. |
| Year | 2020 |
| Published | Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020 |
| DOI | http://dx.doi.org/10.1109/HPCC-SmartCity-DSS50907.2020.00033 |
| Abstract | Power consumption is one of the most critical challenges in real-Time systems. Dynamic voltage and frequency scaling (DVFS) has been widely used to balance performance and energy consumption. We first analyze two well known DVFS scheduling algorithms: CC-EDF (Cycle-conserving earliest deadline first) and LA-EDF (Look-Ahead earliest deadline first). Then, we find out that LA-EDF may provide illegal frequency (higher than system capability). By addressing this issue, we develop LA2-EDF which only considers future task load and always sets a high frequency at end. Based on CC-EDF and LA2-EDF, we propose a novel algorithm named Soft-LA2 by considering both current and future task load. Simulation results show that under certain parameter settings, Soft-LA2 can produce energy-saving up to 28% than LA2-EDF. Furthermore, we analyze the relationship between CC-EDF, LA2-EDF, and Soft-LA2 and provide advice for Soft-LA2's trade-off parameter settings. © 2020 IEEE. |
| Author Keywords | DVFS; low-power systems; periodic task scheduling; power-Aware systems; real-Time scheduling; real-Time systems |
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