Authors
Glushenko S.
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Degree
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PhD of Economics, Associate Professor, Rostov State University of Economics |
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E-mail
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gs-gears@yandex.ru |
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Location
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Rostov-on-Don |
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Articles
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Quality analysis of information system microservices based on fuzzy modelThe paper deals with the analysis of the microservices architecture quality, which is one of the fundamental
software trends to the development and maintenance of modern information systems. The selection
of the optimal set of microservices implementing information system business processes with a
given level of service quality is an important task to improve the efficiency of the system. The solution
of this problem occurs under conditions of high uncertainty due to the lack of data, the complexity of
the description of the functional relationships, that determine the quality of microservices assigned to
business tasks of information system. Integral assessment of the quality of microservices depends on
functional (qualitative) and non-functional (quantitative) parameters, which adds complexity to the
solution of this problem. Existing approaches to the problem do not fully take into account all the factors
that determine such a choice. Implementation of continuous delivery of software components for
dynamic business processes can be carried out by different sets of microservices, the optimal choice,
and composition of which is a complex multi-alternative task. A fuzzy model is proposed for the selection
of a set of microservices with specified levels of service quality. An example shows the possibility
of the microservices-based architecture quality assessment using a fuzzy approach.
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