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Synthesizing Real-Time Schedulability Tests using Evolutionary Algorithms: A Proof of Concept

机译:使用进化算法综合实时可调度性测试:概念验证

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This paper assesses the potential for mechanised assistance in the formulation of schedulability tests. The novel idea is to use evolutionary algorithms to semi-automate the process of deriving response time analysis equations. The proof of concept presented in this paper focuses on the synthesis of mathematical expressions for the schedulability analysis of messages on Controller Area Network (CAN). This problem is of particular interest, since the original analysis developed in the early 1990s was later found to be flawed. Further, as well as known exact tests that have been formally proven, there are a number of useful sufficient tests of pseudo-polynomial complexity and closed-form polynomial-time upper bounds on response times that provide useful comparisons.
机译:本文评估了在可调度性测试的制定中机械化援助的潜力。新颖的想法是使用进化算法使导出响应时间分析方程的过程半自动化。本文提出的概念证明集中在用于控制器区域网络(CAN)上的消息的可调度性分析的数学表达式的合成上。由于1990年代初期进行的原始分析后来被发现存在缺陷,因此这个问题特别引起人们的注意。此外,以及已经被正式证明的已知精确测试,存在许多有用的足够的伪多项式复杂度测试和响应时间上的封闭式多项式时间上限,这些测试可提供有用的比较。

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