ABOUT ONE APPROACH TO BUILDING DATA COLLECTION SYSTEMS IN CYBER-PHYSICAL SYSTEMS BUILT ON FOG COMPUTING PLATFORMS

The modern stage of development of technology is characterized by an increase in the complexity of created anthropogenic systems, a constant expansion of the scope of application of information technologies and an increase in the intellectual level of created anthropogenic systems and the emergence of new paradigms for building information-oriented systems such as cyber-physical systems, the Internet of things, cloud and fog systems. Modern information-oriented systems often have a dynamic structure and implement complex behavior. Data collection in such systems is a non-trivial task. The paper proposes a model approach to building information collection systems in multilevel cyber-physical systems built on fog computing platforms. Models are proposed to be built in terms of knowledge. To describe the structure and behavior graph models are used It is proposed to use multi-level relatively finite state automata to control the models. A distinctive feature of the proposed approach is the ability to automatically build models.

Authors: S. A. Abbas, A. I. Vodyaho, N. A. Zhukova , M. A. Chervontsev, Aung Myo Thaw

Direction: Informatics, Computer Technologies And Control

Keywords: Cyber-physical systems, fog platforms, data collection systems, model knowledge

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