Bio-inspired information technology for multi-version design of highly reliable software systems | Научно-инновационный портал СФУ

Bio-inspired information technology for multi-version design of highly reliable software systems

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

Конференция: 1st International Conference on Advances in Material Science and Technology, CAMSTech 2020

Год издания: 2020

Идентификатор DOI: 10.1088/1757-899X/919/5/052011

Аннотация: The main result of the research is the creation of a new model of multiversion design of highly reliable software systems, which allows taking into account the real-time mode in the operation of programs that are part of reliability critical applications. The problem of multiversion design of the highly reliable software systems is presented in the form of the well-known problem of covering the set, which made it possible to use bioinspired algorithms, in particular, ant colony algorithms, to solve it. The decision rule of the ant colony algorithm has been modified, which provides support for the implementation of bioinspired information technology, taking into account changes in the structure of the software system in real time. The proposed model and the performed modifications of the ant colony algorithm are the basis for the creation of new tools that implement software and algorithmic support for the effective multiversion design of the highly reliable software systems in real time. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: Vol. 919, Is. 5

Номера страниц: 52011

ISSN журнала: 17578981

Издатель: IOP Publishing Ltd

Авторы

  • Kovalev I.V. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Krasnoyarsk State Agrarian University, 90, Mira pr., Krasnoyarsk, 660049, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation, China Aviation Industry General Aircraft Zhejiang Institute Co., Ltd, China)
  • Kovalev D.I. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Krasnoyarsk State Agrarian University, 90, Mira pr., Krasnoyarsk, 660049, Russian Federation, Krasnoyarsk Science and Technology City Hall, 61, Uritskogo Str., Krasnoyarsk, 660049, 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 Information Satellite Systems, 52 Lenin street, Zheleznogorsk, Krasnoyarsk region, 662972, Russian Federation)
  • Voroshilova A.A. (Krasnoyarsk Science and Technology City Hall, 61, Uritskogo Str., Krasnoyarsk, 660049, Russian Federation)
  • Kuznetsov A.S. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Koltashev A.A. (JSC Academician M F Reshetnev Information Satellite Systems, 52 Lenin street, Zheleznogorsk, Krasnoyarsk region, 662972, Russian Federation)

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