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Self-Repairing Hardware Architecture for Safety-Critical Cyber-Physical-Systems
arXiv - CS - Distributed, Parallel, and Cluster Computing Pub Date : 2019-10-30 , DOI: arxiv-1910.14127
Shawkat Khairullah and Carl Elks

Digital embedded systems in safety-critical cyber-physical-systems (CPSs) require high levels of resilience and robustness against different fault classes. In recent years, self-healing concepts based on biological physiology have received attention for the design and implementation of reliable systems. However, many of these approaches have not been architected from the outset with safety in mind, nor have they been targeted for the safety-related automation industry where the significant need exists. This study presents a new self-healing hardware architecture inspired by integrating biological concepts, fault tolerance techniques, and IEC 61131-3 operational schematics to facilitate adaption in automation and critical infrastructure. The proposed architecture is organised in two levels: the critical functions layer used for providing the intended service of the application and the healing layer that continuously monitors the correct execution of that application and generates health syndromes to heal any failure occurrence inside the functions layer. Finally, two industrial applications have been mapped on this architecture to date, and the authors believe the nexus of its concepts can positively impact the next generation of critical CPSs in industrial automation.

中文翻译:

用于安全关键网络物理系统的自修复硬件架构

安全关键网络物理系统 (CPS) 中的数字嵌入式系统需要针对不同故障类别的高水平弹性和鲁棒性。近年来,基于生物生理学的自愈概念因可靠系统的设计和实现而受到关注。然而,许多这些方法从一开始就没有考虑到安全性,也没有针对存在重大需求的安全相关自动化行业。这项研究提出了一种新的自愈硬件架构,其灵感来自于整合生物学概念、容错技术和 IEC 61131-3 操作原理图,以促进自动化和关键基础设施的适应。建议的架构分为两个层次:用于提供应用程序预期服务的关键功能层和持续监控该应用程序的正确执行并生成健康综合症以修复功能层内发生的任何故障的修复层。最后,迄今为止,该架构已经映射了两个工业应用程序,作者相信其概念的联系可以对工业自动化中的下一代关键 CPS 产生积极影响。
更新日期:2020-03-27
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