Monoversion techniques for increasing the fault tolerance of software systems for monitoring the parameters of technological processes

Описание

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

Конференция: International Scientific Conference on Applied Physics, Information Technologies and Engineering, APITECH 2020

Год издания: 2020

Идентификатор DOI: 10.1088/1742-6596/1679/3/032099

Аннотация: The article discusses the current monoversion techniques in solving the problem of increasing the fault tolerance of software. The subject of research is the system of environmental monitoring of the technological process. Model examples demonstrate the algorithmization of the programming approaches used. As the first technique, a Показать полностьюprogramming technique using Checkpoint is presented. The second technique is the programming technique using Checksums. Both techniques are designed to increase the fault tolerance of the developed specialized software systems. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1679, Is. 3

Номера страниц: 32099

ISSN журнала: 17426588

Издатель: IOP Publishing Ltd

Персоны

  • Kovalev I.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Krasnoyarsk State Agrarian University, 90 Mira pr., Krasnoyarsk, 660049, Russian Federation)
  • Saramud M.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Saramud M.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Testoyedov N.A. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, JSC Academician M.F. Reshetnev ISS Zheleznogorsk, Krasnoyasrk region, Russian Federation)
  • Tynchenko Y.A. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)

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