Energy-Aware Fault-Tolerant Real-Time Scheduling for Embedded Systems

In this paper, we investigated the problem of developing scheduling techniques for uniprocessor real-time systems that enhances energy saving while still tolerating up to k transient faults to preserve the system’s reliability. Two scheduling algorithms are proposed: The first scheduler is an extension of an optimal fault-free energy-efficient scheduling algorithm, named ES-DVFS. The second algorithm aims to decrease the consumption of energy by using the slack time for the recovery operation when faults occur. The experimental results show that the proposed approach significantly reduces the consumption of energy when compared to the previous schedulers.