Models and Methods of Designing Data-Centric Microservice Architectures of Digital Enterprises

Abstract

The article is devoted to methods and models of designing systems for the digital transformation of industrial enterprises within the framework of the Industry 4.0 concept. The purpose of this work is to formalize a new notation for graphical modeling of the architecture of complex large-scale systems with data-centric microservice architectures and to present a variant of the reference model of such an architecture for creating an autonomously functioning industrial enterprise. The paper provides a list and justification for the use of functional components of a data-centric microservice architecture based on the analysis of modern approaches to building systems and the authors’ own results obtained during the implementation of a number of projects. The problems of using traditional graphical modeling notations to represent a data-centric microservice architecture are considered. Examples of designing a model of such an architecture for a mining enterprise are given.

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“…The listed additional functional requirements, generally speaking, can be replicated to any modern software system as part of the digital transformation of industry in the concept of Industry 4.0. In our earlier works, we gave both a justification for the need for such requirements and an example of their implementation in the form of a reference meta-model of the architecture of an industrial enterprise, DEA 1.0 (Digital Enterprise Architecture) [33]. The proposed model of data-centric microservice architecture formalizes the ways of building functional components of the system and the processes of information exchange between such components through specialized services, conventionally combined by the general term "Digital Platform", which is also consistent with the results of scientific and engineering research in international and domestic practice [24][25][26]29,31,34].…”