Reliability guaranteed energy minimization on mixed-criticality systems

•Analyze resource demand of MC task set under reliability and deadline constraints.•Develop a heuristic approach to solve the formulated problem.•Evaluate the proposed approach through simulation under various scenarios.•Achieve up to 10% more energy saving comparing with the existing approaches.

This paper studies the energy minimization problem in mixed-criticality systems that have stringent reliability and deadline constraints. We first analyze the resource demand of a mixed-criticality task set that has both reliability and deadline requirements. Based on the analysis, we present a heuristic task scheduling algorithm that minimizes system’s energy consumption and at the same time also guarantees system’s reliability and deadline constraints. Extensive experiments are conducted to evaluate and validate the performance of the proposed algorithm. The empirical results show that the algorithm further improves energy saving by up to 10% compared with the approaches proposed in our earlier work.