Peripheral-conscious scheduling on energy minimization for weakly hard real-time systems

Peripheral-conscious scheduling on energy minimization for weakly hard real-time systems Conference

Niu, L, Quan, G. (2007). Peripheral-conscious scheduling on energy minimization for weakly hard real-time systems . 791-796. 10.1109/DATE.2007.364387

In this paper, we present a dynamic scheduling algorithm to minimize the energy consumption by both the DVS processor 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 simulation studies demonstrate that our approach can effectively reduce the system-wide energy consumption while guaranteeing the weakly hard constraints. © 2007 EDAA.