Design considerations for solar energy harvesting wireless embedded systems
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Perpetual environmentally powered sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Workload-Aware Dual-Speed Dynamic Voltage Scaling
RTCSA '06 Proceedings of the 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Energy-efficient real-time task scheduling with task rejection
Proceedings of the conference on Design, automation and test in Europe
Energy aware dynamic voltage and frequency selection for real-time systems with energy harvesting
Proceedings of the conference on Design, automation and test in Europe
Scheduling and mapping of periodic tasks on multi-core embedded systems with energy harvesting
IGCC '11 Proceedings of the 2011 International Green Computing Conference and Workshops
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In this paper, we propose a novel framework for energy and workload management in multi-core embedded systems with solar energy harvesting and a periodic hard real-time task set as the workload. Compared to prior work, our energy management framework possesses several advantages, including (i) a battery-supercapacitor hybrid energy storage module for more efficient system energy management, (ii) a semi-dynamic scheduling heuristic that continuously adapts to run-time harvested power variations without losing the consistency of the periodic task set, and (iii) a coarse-grained core shutdown heuristic for additional energy savings. Experimental studies show that our framework results in a reduction in task miss rate by up to 61% and task miss penalty by up to 65% compared to the best known prior work.