基于复杂硬件/软件平台的航电案例时序分析

Franck Wartel, Leonidas Kosmidis, A. Gogonel, Andrea Baldovin, Z. Stephenson, B. Triquet, E. Quiñones, Code Lo, E. Mezzetti, I. Broster, J. Abella, L. Cucu-Grosjean, T. Vardanega, F. Cazorla
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引用次数: 51

摘要

一般而言,概率时序分析(PTA)及其基于测量的变体MBPTA已被证明有助于估计最坏情况执行时间(WCET)。MBPTA依赖于特定的硬件和软件支持来随机化和/或上限执行时间变化的一些来源,以大大减少对用户提供的信息的需求,从而用概率取代不确定性。MBPTA已被证明对特定的单核处理器设计是有效的。然而,特定的硬件特性和多核通常对MBPTA在工业质量开发中的应用提出了挑战。虽然针对这些挑战的解决方案已经在基准测试中得到了验证,但它们还没有在实际应用程序中得到验证,实际应用程序的时间分析比简单的基准测试更具挑战性。本文讨论了MBPTA在实际航电系统中的应用,包括:(1)纯软件单核解决方案和(2)纯硬件多核解决方案和arinc653操作系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Timing analysis of an avionics case study on complex hardware/software platforms
Probabilistic Timing Analysis (PTA) in general and its measurement-based variant called MBPTA in particular have been shown to facilitate the estimation of the worst-case execution time (WCET). MBPTA relies on specific hardware and software support to randomise and/or upper bound a number of sources of execution time variation to drastically reduce the need for user-provided information, thus replacing uncertainty by probabilities. MBPTA has been proven effective for specific single-core processor designs. However, particular hardware features and multicores in general challenge MBPTA application in industrial-quality developments. While solutions to those challenges have been proven on benchmarks, they have not been proven yet on real-world applications, whose timing analysis is far more challenging than that of simple benchmarks. This paper discusses the application of MBPTA to a real avionics system in the context of (1) software-only single-core solutions and (2) hardware-only multicore solutions with an ARINC 653 operating system.
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