End-to-end Timing Model Extraction from TSN-Aware Distributed Vehicle Software

Bahar Houtan, Mehmet Onur Aybek, M. Ashjaei, M. Daneshtalab, Mikael Sjödin, S. Mubeen
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引用次数: 1

Abstract

Extraction of end-to-end timing information from software architectures of vehicular systems to support their timing analysis is a daunting challenge. To address this challenge, this paper presents a systematic method to extract this information from vehicular software architectures that can be distributed over several electronic control units connected by Time-Sensitive Networking (TSN) networks. As a proof of concept, the proposed extraction method is applied to an industrial component model, namely the Rubus Component Model (RCM), and its toolchain. Furthermore, the usability of the proposed method is demonstrated in an industrial use case from the vehicular domain.
基于tsn感知的分布式车辆软件端到端时序模型提取
从车辆系统的软件架构中提取端到端定时信息以支持其定时分析是一项艰巨的挑战。为了应对这一挑战,本文提出了一种系统的方法,从车辆软件架构中提取这些信息,这些信息可以分布在通过时间敏感网络(TSN)网络连接的多个电子控制单元上。作为概念验证,将提出的提取方法应用于工业组件模型,即Rubus组件模型(RCM)及其工具链。此外,在车辆领域的一个工业用例中验证了所提出方法的可用性。
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