Energy-aware schedulers for real-time energy harvesting systems with quality of service requirements

Our study concerns energy harvesting embedded systems that have real-time constraints. We present two energy aware scheduling algorithms, namely Green-RTO and Green-BWP which aim to optimize the quality of service of the system measured in terms of deadline success ratio. Such algorithms permit to gracefully cope with processing overload and energy starvation. A simulation study permits to show their performance in comparison with the scheduling algorithm EDeg.