SHS Web of Conf.
Volume 44, 2018IV International Scientific Conference “The Convergence of Digital and Physical Worlds: Technological, Economic and Social Challenges” (CC-TESC2018)
|Number of page(s)||8|
|Published online||05 June 2018|
Application of methods of organizing complex expert examinations for increasing reliability and failure robustness of information systems and complexesa
1 Peter the Great St. Petersburg Polytechnic University, Institute of Computer Sciences and Technologies, 195251, Politeсhnicheskaya st., 29, Russian Federation
2 Peter the Great St. Petersburg Polytechnic University, Institute of Industrial Management, Economics and Trade, 195251, Politeсhnicheskaya st., 29, Russian Federation
* Corresponding author: firstname.lastname@example.org
The article provides a review of approaches and methods used by Russian and foreign authors for solving tasks of increasing reliability and failure robustness of information systems (IS) and hardware and software complexes. The methods of organizing complex expert examinations (МОСEE) are described and the possibility and necessity of МОСEE combined application for analyzing reliability and failure robustness of IS, their components and hardware and software complexes are proven. The following methods and models were used to perform a comprehensive assessment: PATTERN methodology, G.S. Pospelov’s method of solving matrices, models based on the information approach of А. А. Denisov. A number of modifications of the above МОСEE is offered; methodology of system analysis for solving a task of assessing reliability of information system and its components has been developed; a conceptual model of methodology of developing new solutions in the field of IS and IT has been built.
The research is carried out with the financial support of the Ministry of Education and Science of Russia within the framework of the Federal Program “Research and Development in Priority Areas for the Development of the Russian Science and Technology Complex for 2014-2020”. Subsidy agreement No. 14.581.21.0023, 03.10.2017, The unique identifier is RFMEFI58117X0023
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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