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Keywords = multi-level relative finite state operational automaton

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24 pages, 2238 KB  
Article
About One Approach to Using Dynamic Models to Build Digital Twins
by Alexander Ivanovich Vodyaho, Nataly Alexandrovna Zhukova, Yulia Alexandrovna Shichkina, Fahem Anaam and Saddam Abbas
Designs 2022, 6(2), 25; https://doi.org/10.3390/designs6020025 - 1 Mar 2022
Cited by 10 | Viewed by 3931
Abstract
The modern stage of technology development is characterized by the emergence of new paradigms for the construction of anthropogenic systems, such as cyber-physical systems, socio-cybernetic systems, etc. The task of data acquisition about the state of a multi-level system and managing the structure [...] Read more.
The modern stage of technology development is characterized by the emergence of new paradigms for the construction of anthropogenic systems, such as cyber-physical systems, socio-cybernetic systems, etc. The task of data acquisition about the state of a multi-level system and managing the structure and behavior of a system consisting of many thousands of elements of different physical nature is a complex task. This article describes one of possible approaches to solving the problem of data acquisition and management of the structure of a large-scale heterogeneous system. The proposed approach is based on the idea of using dynamic digital twins, which are dynamic models of the observed system. This approach was used for the development of systems in various subject domains, in particular, in production management systems built on the Industry 4.0 principle, in the development of a technical support system for cable television networks and in the development of support systems for the construction of educational trajectories. Full article
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30 pages, 36489 KB  
Article
Using the Context-Sensitive Policy Mechanism for Building Data Acquisition Systems in Large Scale Distributed Cyber-Physical Systems Built on Fog Computing Platforms
by Alexander Vodyaho, Nataly Zhukova, Igor Kulikov and Saddam Abbas
Computers 2021, 10(8), 101; https://doi.org/10.3390/computers10080101 - 18 Aug 2021
Cited by 2 | Viewed by 2917
Abstract
The article deals with the use of context-sensitive policies in the building of data acquisition systems in large scale distributed cyber-physical systems built on fog computing platforms. It is pointed out that the distinctive features of modern cyber-physical systems are their high complexity [...] Read more.
The article deals with the use of context-sensitive policies in the building of data acquisition systems in large scale distributed cyber-physical systems built on fog computing platforms. It is pointed out that the distinctive features of modern cyber-physical systems are their high complexity and constantly changing structure and behavior, which complicates the data acquisition procedure. To solve this problem, it is proposed to use an approach according to which the data acquisition procedure is divided into two phases: model construction and data acquisition, which allows parallel realization of these procedures. A distinctive feature of the developed approach is that the models are built in runtime automatically. As a top-level model, a multi-level relative finite state operational automaton is used. The automaton state is described using a multi-level structural-behavioral model, which is a superposition of four graphs: the workflow graph, the data flow graph, the request flow graph and the resource graph. To implement the data acquisition procedure using the model, the context-sensitive policy mechanism is used. The article discusses possible approaches to implementation of suggested mechanisms and describes an example of application. Full article
(This article belongs to the Special Issue Edge Computing for the IoT)
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