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Efimov S.
Terskov V.
Yarkov K.
2021-11-04T07:07:19Z
2021-11-04T07:07:19Z
2021
https://elib.sfu-kras.ru/handle/2311/144772
Доклад, тезисы доклада, статья из сборника материалов конференций.
2021 International Russian Automation Conference, RusAutoCon 2021, 5 September 2021 through 11 September 2021.
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 the 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.
Institute of Electrical and Electronics Engineers Inc.
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116137813&doi=10.1109%2fRusAutoCon52004.2021.9537381&partnerID=40&md5=6e03ec3bcba54d3e3f8f7079a83ce94c
hardware and software complex
n-version programming
queuing theory
real-time system
reliability
Improving the Reliability of Real-Time Hardware and Software Systems
Conference Item
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
469-473
10.1109/RusAutoCon52004.2021.9537381
Proceedings - 2021 International Russian Automation Conference, RusAutoCon 2021
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638507847-277169250


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