Safe tasks: Run time verification of the RTFM-lang model of computation

Marcus Lindner, Andreas Lindner, P. Lindgren
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引用次数: 0

Abstract

Embedded systems for critical applications are typically specified with requirements on predictable timing and safety. While ensuring predictable timing, the RTFM-lang (Real-Time For the Masses) model of computation (MoC) currently lacks memory access protection among real-time tasks. In this paper, we discuss how to safely verify task execution given a specification using the RTFM-MoC. Furthermore, an extension to the RTFM-core infrastructure is outlined and tested with use cases of embedded development. We propose a method for run time verification exploiting memory protection hardware. For this purpose, we introduce memory resources to the declarative language RTFM-core allowing compliance checks. As a proof of concept, compiler support for model analysis and automatic generation of run time verification code is implemented together with an isolation layer for the RTFM-kernel. With this verification foundation, functional run time checks as well as further overhead assessments are future research questions.
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安全任务:RTFM-lang计算模型的运行时验证
关键应用的嵌入式系统通常指定具有可预测的时间和安全性要求。在确保可预测的时序的同时,RTFM-lang (Real-Time For the mass)计算模型(MoC)目前缺乏实时任务之间的内存访问保护。在本文中,我们讨论了如何使用RTFM-MoC安全地验证给定规范的任务执行。此外,还概述了rtfm核心基础架构的扩展,并使用嵌入式开发的用例进行了测试。我们提出了一种利用内存保护硬件进行运行时验证的方法。为此,我们将内存资源引入声明性语言RTFM-core,允许进行遵从性检查。作为概念的证明,编译器支持模型分析和自动生成运行时验证代码,并与rtfm内核的隔离层一起实现。有了这个验证基础,功能运行时检查以及进一步的开销评估是未来的研究问题。
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