Volume 9 Number 10 (Oct. 2014)
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JSW 2014 Vol.9(10): 2685-2692
doi: 10.4304/jsw.9.10.2685-2692

Research on Real-time Performance Testing Methods for Robot Operating System

Ming Huang 1 , Shujie Guo 2 , Xu Liang 1 , Xudong Song 3

  • 1 Software Technology Institute, Dalian Jiao Tong University, Dalian, China
  • 2 Mechanical Engineering Institute, Dalian Jiao Tong University, Dalian, China
  • 3 Computer Science Department, Database System Research Group Lab

Abstract

To test real-time performance of RGMP-ROS, a robot operating system, this paper takes an in-depth study of the basic functions of real-time operating system kernel. By analyzing the main factors that affect the real-time performance of an operating system, we propose a set of real-time performance testing methods based on mixed load. This paper introduces the concept of the calibration procedure program. Takes the average execution time of the program as the standard time unit to normalize the test results of each test indicator, so as to shield the effect of the hardware test environment on the test results to a certain extent. While testing task preemption time and interrupt response time, we use background tasks that can trigger banning preemption or disabling interrupts to simulate the load, which makes the test results more real and reliable.

Keywords

  • Operating System
  • Real-time performance
jsw0910-25

How to Cite

Copied

Ming Huang, Shujie Guo, Xu Liang, and Xudong Song, "Research on Real-time Performance Testing Methods for Robot Operating System," Journal of Software, vol. 9, no. 10, pp. 2685-2692, 2014. https://doi.org/ 10.4304/jsw.9.10.2685-2692

Copyright & License

Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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