{"title":"Safe tasks: Run time verification of the RTFM-lang model of computation","authors":"Marcus Lindner, Andreas Lindner, P. Lindgren","doi":"10.1109/ETFA.2016.7733550","DOIUrl":null,"url":null,"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.","PeriodicalId":6483,"journal":{"name":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"29 1","pages":"1-8"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2016.7733550","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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。