论文标题
估计汽车网络物理系统的端到端潜伏期
Estimating End-to-End Latencies in Automotive Cyber-physical Systems
论文作者
论文摘要
当今汽车系统中的控制器网络由各种总线协议连接的100多个ECU组成。整个系统的无缝操作需要这些ECU的经过固定的相互作用。因此，为了确保安全性和舒适性，性能分析是工程过程的固有部分。 手动进行此类分析很昂贵，缓慢且容易出错。 因此，工具支持至关重要，并且已经提出了许多方法。 但是，大多数工作仅限于网络潜伏期或软件潜伏期，这会导致通信堆栈不同层之间过渡的分析差距。这里介绍的工作介绍了一种缩小此差距的方法。 此外，我们讨论了不同方法的整合以获得端到端潜伏分析。
Controller networks in today's automotive systems consist of more than 100 ECUs connected by various bus protocols. Seamless operation of the entire system requires a well-orchestrated interaction of these ECUs. Consequently, to ensure safety and comfort, a performance analysis is an inherent part of the engineering process. Conducting such an analysis manually is expensive, slow, and error prone. Tool support is therefore crucial, and a number of approaches have been presented. However, most work is limited to either network latencies or software latencies which results in an analysis gap at the transition between different layers of the communication stack. The work presented here introduces an approach to close this gap. Furthermore, we discuss the integration of different methods to obtain an end-to-end latency analysis.
