从ROS应用程序的AADL模型介绍CPU负载分析:一个用例

E. Senn, L. Bourdon
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引用次数: 2

摘要

即使在据称功能强大的多核处理器平台上运行,机器人软件也可能表现出较低的性能。找出原因是保证任务成功的关键。本文提出了一种基于机器人操作系统(ROS)的机器人应用的加工资源需求分析方法。AADL(体系结构分析和设计语言)语言用于对应用软件、硬件以及软件组件在硬件上的部署进行建模。由于该语言的一些特性,对处理器负载的分析以及对MIPS需求和MIPS容量的检查都是用OSATE2工具完成的。为了设置这些属性,需要基于常见的Linux性能计数工具对应用程序的硬件和软件组件进行快速分析。最终的准确性足以允许对部署选项进行快速验证,并有助于思考或重新思考软件与硬件架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introducing CPU load Analysis from AADL Models for ROS applications : a use case
Robotic software can exhibit low performances even while running on allegedly powerful multi-core processor platforms. To find why is essential to guarantee the success of a mission. This paper presents an approach to analyze the processing resource demand of a ROS (Robotic Operating System) based robotic application. The AADL (Architecture Analysis and Design Language) language is used to model the application software, the hardware, and the deployment of the software components onto the hardware. The analysis of processor loads, and the checking of MIPS demand against MIPS capacity, is done with the OSATE2 tool, thanks to a few properties of the language. To set up those properties, a rapid profiling of the hardware and of the software components of the application is done, based on common Linux performance counting tools. The final accuracy is good enough to allow for a fast verification of the deployment options, and to help thinking or rethinking the software vs hardware architectures.
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