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Software Architecture of a Fog Computing Node for Industrial Internet of Things
In the design and development process of fog computing solutions for the Industrial Internet of Things (IIoT), we need to take into consideration the characteristics of the industrial environment that must be met. These include low latency, predictability, response time, and operating with hard real...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198567/ https://www.ncbi.nlm.nih.gov/pubmed/34073598 http://dx.doi.org/10.3390/s21113715 |
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author | Ungurean, Ioan Gaitan, Nicoleta Cristina |
author_facet | Ungurean, Ioan Gaitan, Nicoleta Cristina |
author_sort | Ungurean, Ioan |
collection | PubMed |
description | In the design and development process of fog computing solutions for the Industrial Internet of Things (IIoT), we need to take into consideration the characteristics of the industrial environment that must be met. These include low latency, predictability, response time, and operating with hard real-time compiling. A starting point may be the reference fog architecture released by the OpenFog Consortium (now part of the Industrial Internet Consortium), but it has a high abstraction level and does not define how to integrate the fieldbuses and devices into the fog system. Therefore, the biggest challenges in the design and implementation of fog solutions for IIoT is the diversity of fieldbuses and devices used in the industrial field and ensuring compliance with all constraints in terms of real-time compiling, low latency, and predictability. Thus, this paper proposes a solution for a fog node that addresses these issues and integrates industrial fieldbuses. For practical implementation, there are specialized systems on chips (SoCs) that provides support for real-time communication with the fieldbuses through specialized coprocessors and peripherals. In this paper, we describe the implementation of the fog node on a system based on Xilinx Zynq UltraScale+ MPSoC ZU3EG A484 SoC. |
format | Online Article Text |
id | pubmed-8198567 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81985672021-06-14 Software Architecture of a Fog Computing Node for Industrial Internet of Things Ungurean, Ioan Gaitan, Nicoleta Cristina Sensors (Basel) Article In the design and development process of fog computing solutions for the Industrial Internet of Things (IIoT), we need to take into consideration the characteristics of the industrial environment that must be met. These include low latency, predictability, response time, and operating with hard real-time compiling. A starting point may be the reference fog architecture released by the OpenFog Consortium (now part of the Industrial Internet Consortium), but it has a high abstraction level and does not define how to integrate the fieldbuses and devices into the fog system. Therefore, the biggest challenges in the design and implementation of fog solutions for IIoT is the diversity of fieldbuses and devices used in the industrial field and ensuring compliance with all constraints in terms of real-time compiling, low latency, and predictability. Thus, this paper proposes a solution for a fog node that addresses these issues and integrates industrial fieldbuses. For practical implementation, there are specialized systems on chips (SoCs) that provides support for real-time communication with the fieldbuses through specialized coprocessors and peripherals. In this paper, we describe the implementation of the fog node on a system based on Xilinx Zynq UltraScale+ MPSoC ZU3EG A484 SoC. MDPI 2021-05-26 /pmc/articles/PMC8198567/ /pubmed/34073598 http://dx.doi.org/10.3390/s21113715 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ungurean, Ioan Gaitan, Nicoleta Cristina Software Architecture of a Fog Computing Node for Industrial Internet of Things |
title | Software Architecture of a Fog Computing Node for Industrial Internet of Things |
title_full | Software Architecture of a Fog Computing Node for Industrial Internet of Things |
title_fullStr | Software Architecture of a Fog Computing Node for Industrial Internet of Things |
title_full_unstemmed | Software Architecture of a Fog Computing Node for Industrial Internet of Things |
title_short | Software Architecture of a Fog Computing Node for Industrial Internet of Things |
title_sort | software architecture of a fog computing node for industrial internet of things |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198567/ https://www.ncbi.nlm.nih.gov/pubmed/34073598 http://dx.doi.org/10.3390/s21113715 |
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