Methodological approaches to increase the fault tolerance of software system in multiversion environments

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: 10.1088/1742-6596/1679/5/052088

Аннотация: The article considers the approach to develop of adaptive n-variant software based on versioning. The technological process is presented as a model of functionality. This article proposes approach based on the segmentation of versions functionality. Note that approach is aimed at increasing the unit algorithmic fullness of the versПоказать полностьюion. It is shown that spatially-distributed architecture of model is formed using the proposed approach. The article presents approach to form logical functional levels that is focused on prioritization of functional tasks taking into account the system operational needs. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1679, Is. 5

Номера страниц: 52088

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, Federal State Budgetary Educational Institution of Higher Education, "Krasnoyarsk State Agrarian University", 90 Mira Av., Krasnoyarsk, 660049, Russian Federation, Krasnoyarsk Science and Technology City Hall, The Russian Union of Scientific and Engineering Associations, 61 Uritskogo street, 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)
  • Lifar A.S. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)

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