Energy Optimization of Mixed-Criticality Distributed Real-Time Embedded Systems

被引：1

作者：

Sun, Ruoxu ^{[1
]}

Zhan, Jinyu ^{[1
]}

Jiang, Wei ^{[1
]}

Dong, Qi ^{[1
]}

Ye, Yalan ^{[1
]}

机构：

[1] Univ Elect Sci Technol China, Sch Informat & Software Engn, Chengdu 610054, Peoples R China

来源：

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS | 2021年 / 30卷 / 05期

关键词：

Mixed-criticality; scheduling; security; energy consumption; distributed real-time system; DESIGN;

D O I：

10.1142/S0218126621500857

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：19

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