D2CyberSoft:可靠赛博车软误差分析的设计自动化工具

Arslan Munir, F. Koushanfar
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引用次数: 0

摘要

下一代汽车(也被称为网络汽车)将升级电子控制单元(ecu)的扩散,以实现新的分布式控制应用,如线控转向(SBW)、线控制动等。虽然电子嵌入式系统的使用提高了性能、驾驶舒适性、安全性和经济性;这种汽车系统的电子控制使这些系统容易受到软错误的影响,这可以大大降低这些系统的可用性。以最小的额外成本提高可靠性和可用性是汽车系统设计的主要挑战。在本文中,我们提出了d2cybersoft,一个网络汽车的设计自动化工具,帮助网络汽车设计师选择成本开销最小的设计,使安全关键的汽车功能不容易受到软错误的影响。D2CyberSoft通过提供内置模型,易于指定输入和易于解释输出来帮助设计人员。我们使用SBW作为案例研究,详细阐述了构成D2CyberSoft基础的马尔可夫模型。我们进一步提供了从D2CyberSoft获得的评估见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
D2CyberSoft: A design automation tool for soft error analysis of Dependable Cybercars
Next generation of automobiles (also known as cybercars) will escalate the proliferation of electronic control units (ECUs) to implement novel distributed control applications such as steer-by-wire (SBW), brake-by-wire, etc. Although the use of electronic embedded systems improves performance, driving comfort, safety, and economy for the customer; this electronic control of automotive systems makes these systems susceptible to soft errors, which can significantly reduce the availability of these systems. Enhancing reliability and availability at a minimum additional cost is a major challenge in automotive systems design. In this paper, we propose D2CyberSoft-a design automation tool for cybercars that facilitate cybercar designers in selecting designs with minimum cost overhead to make safety-critical automotive functions less vulnerable to soft errors. D2CyberSoft aids designers by providing built-in models, easy to specify inputs, and easy to interpret outputs. We elaborate Markov models that form the basis of D2CyberSoft using SBW as a case study. We further provide evaluation insights obtained from D2CyberSoft.
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