Peripheral-conscious scheduling on energy minimization for weakly hard real-time systems,” under review by International Journal of Embedded Systems

In this paper, we present a dynamic scheduling algorithm to minimize the energy consumption by both the DVS pro-cessor and peripheral devices in a weakly hard real-time system. In our approach, we first use a new static approach to partition real-time jobs into mandatory and optional part to meet the weakly hard real-time constraints. We then adopt an on-line approach that can effectively exploit the run-time variations and reduce the preemption impacts to leverage the energy saving performance. Extensive simula-tion studies demonstrate that our approach can effectively reduce the system-wide energy consumption while guaran-teeing the weakly hard constraints.