COBRA-HPA:执行混合程序分析的块生成工具

T. Huybrechts, Yorick De Bock, Haoxuan Li, P. Hellinckx
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引用次数: 8

摘要

在实时系统中,任务的最坏情况执行时间(WCET)是一个重要的值。调度器使用此指标,以便在截止日期之前安排所有任务。然而,代码和硬件架构对执行时间和WCET有很大的影响。因此,存在不同的分析方法来确定WCET,每种方法都有自己的优点和/或缺点。在本文中,提出了一种混合方法,它结合了两种常见分析技术的优势。双层混合模型将任务代码分成所谓的基本块。可以通过在每个块上执行执行时间测量并静态地组合这些结果来确定WCET。本文提出的COBRA-HPA框架是为了促进混合块模型的创建和自动化测量/分析过程。此外,还对该框架的实现和性能进行了详细的讨论。总之,与静态和基于测量的方法相比,COBRA-HPA框架的结果显示,混合方法在保持良好的WCET预测的同时,显著减少了分析工作量。
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COBRA-HPA: a block generating tool to perform hybrid program analysis
The Worst-Case Execution Time (WCET) of a task is an important value in real-time systems. This metric is used by the scheduler in order to schedule all tasks before their deadlines. However, the code and hardware architecture have a significant impact on the execution time and thus the WCET. Therefore, different analysis methodologies exist to determine the WCET, each with their own advantages and/or disadvantages. In this paper, a hybrid approach is proposed which combines the strengths of two common analysis techniques. The two-layer hybrid model splits the code of tasks into so-called basic blocks. The WCET can be determined by performing execution time measurements on each block and statically combining those results. The COBRA-HPA framework presented in this paper is developed to facilitate the creation of hybrid block models and automate the measurements/analysis process. Additionally, an elaborated discussion on the implementation and performance of the framework is given. In conclusion, the results of the COBRA-HPA framework show a significant reduction in analysis effort while keeping sound WCET predictions for the hybrid method compared to the static and measurement-based approach.
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