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Real-Time Performance Analysis of Processing Systems on ROS 2 Executors

  • Yue Tang
  • , Nan Guan
  • , Xu Jiang*
  • , Xiantong Luo
  • , Wang Yi
  • *此作品的通讯作者
  • Northeastern University China
  • City University of Hong Kong
  • Uppsala University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

ROS (Robot Operating System) is one of the most popular robotic software development frameworks. Robotic systems in safety-critical domains are usually subject to hard realtime constraints, so timing behaviors must be formally modeled and analyzed to guarantee that real-time constraints are always honored at run-time. Although a series of analysis techniques has been proposed to analyze the timing performance of ROS 2, the state-of-the-art still generates pessimistic results for ROS 2 systems modeled as DAG (Directed Acyclic Graph). This paper focuses on the analysis of such systems, and proposes techniques to analyze the timing performance in a more precise manner. Experiments with both randomly generated workload and a case study are conducted to evaluate and demonstrate our results.

源语言英语
主期刊名Proceedings - 29th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2023
出版商Institute of Electrical and Electronics Engineers Inc.
80-92
页数13
ISBN(电子版)9798350321760
DOI
出版状态已出版 - 2023
已对外发布
活动29th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2023 - San Antonio, 美国
期限: 9 5月 202312 5月 2023

丛书

姓名Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS
2023-May
ISSN(印刷版)1545-3421

会议

会议29th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2023
国家/地区美国
San Antonio
时期9/05/2312/05/23

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