Improving the Reliability of Real-Time Hardware and Software Systems


Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Russian Automation Conference, RusAutoCon 2021

Год издания: 2021

Идентификатор DOI: 10.1109/RusAutoCon52004.2021.9537381

Адрес в архиве электронных ресурсов СФУ:

Ключевые слова: hardware and software complex, n-version programming, queuing theory, real-time system, reliability

Аннотация: The article aims to optimize the reliability of multiprocessor hardware and software systems with n-version software designed for real-time control systems. The reliability of real-time systems is critical. The reliability of the hardware and software complex of the control system can be ensured by means of hardware redundancy and Показать полностьюthe use of an n-version approach in software development. To find the composition of the hardware and software system that provides the specified reliability, it is proposed to use a mathematical model that takes into account the failures and recovery of hardware and software components of the computing system. At the same time, with such an approach to ensuring reliability, the cost of developing and operating a control system may increase unreasonably. Further, an optimization problem is formulated in which maximization of reliability is chosen as the optimality criterion, and the performance and cost criteria are translated into constraints. There is the conclusion that this problem can be effectively solved with the help of evolutionary optimization methods. © 2021 IEEE.

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Журнал: Proceedings - 2021 International Russian Automation Conference, RusAutoCon 2021

Номера страниц: 469-473

Издатель: Institute of Electrical and Electronics Engineers Inc.


  • Efimov S. (Reshetnev Siberian State University of Science and Technology, Dept. of Information and Control Systems, Krasnoyarsk, Russian Federation)
  • Terskov V. (Siberian Federal University, Dept. of Fundamental Natural Science Education, Krasnoyarsk, Russian Federation)
  • Yarkov K. (Krasnoyarsk Institute of Railway Transport, Branch of the Irkutsk State University of Communications, Dept. of Personnel Management, Krasnoyarsk, Russian Federation)

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