面向高完整性实时系统的标准化性能监控库

J. Giesen, E. Mezzetti, J. Abella, F. Cazorla
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引用次数: 0

摘要

复杂处理器的使用在高完整性系统(HIS)中变得无处不在。为了处理处理器日益增加的复杂性,性能监视计数器(pmc)越来越多地用于对软件行为进行推理并提供必要的证据来支持软件认证。然而,在卫生系统中使用pmc是最近的事,因此远未标准化。因此,软件工程师被迫求助于高度定制的、特定于平台的PMC控制寄存器的低级编程,这既容易出错又耗时。为了弥补这一差距,我们建议在主流领域建立一个标准化的性能监控解决方案PAPI库,并开发一个PMC阅读库(PRL),用于配置和收集可跟踪事件,同时捕获HIS的特定需求和特性。我们在参考汽车配置中实例化了PRL,以显示PRL满足关键的HIS需求:可忽略的占用空间、有限且可预测的开销,以及通过过滤中断和上下文切换的影响来准确收集硬件事件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PRL: Standardizing Performance Monitoring Library for High-Integrity Real-Time Systems
The use of complex processors is becoming ubiquitous in High-Integrity Systems (HIS). To deal with processor’s increased complexity, Performance Monitoring Counters (PMCs) are increasingly used to reason on software behavior and provide the necessary evidence to support software certification. However, the use of PMCs in HIS is relatively recent and hence far from being standardized. As a result, software engineers are forced to resort to highly-customized, low-level programming of platform-specific PMC control registers, which is both error prone and time consuming. To cover this gap, we propose building on the PAPI library, a standardized performance monitoring solution in the mainstream domain, and develop a PMC Reading Library (PRL) for configuring and collecting traceable events while capturing HIS specific requirements and peculiarities. We instantiate PRL in a reference automotive configuration to show that PRL meets key HIS requirements: negligible footprint, limited and predictable overhead, and accuracy collecting hardware events by filtering out the impact of interrupts and context switches.
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