In this paper, we propose a system-level optimization approach for mixed-criticality distributed real-time systems with safety and energy considerations. We firstly depict a mixed-criticality distributed task model for real-time applications, in which the safety of the system is influenced by dynamic voltage and frequency scaling (DVFS). Due to the huge complexity of solving the problem optimally, a heuristic algorithm is proposed to approach the system-level optimization through a quasi-static scheduling strategy. The experiments demonstrate the efficiency of the proposed approach, which can obtain energy consumption while guaranteeing the system safety requirements.

中文翻译：

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混合临界分布式实时嵌入式系统的能量优化

在本文中，我们提出了一种具有安全和能源考虑的混合临界分布式实时系统的系统级优化方法。我们首先描述了一个用于实时应用的混合临界分布式任务模型，其中系统的安全性受到动态电压和频率缩放（DVFS）的影响。针对最优求解问题的巨大复杂性，提出一种启发式算法，通过准静态调度策略逼近系统级优化。实验证明了该方法的有效性，该方法可以在保证系统安全要求的同时获得能量消耗。