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Fog computing at industrial level, architecture, latency, energy, and security: A review
The industrial applications in the cloud do not meet the requirements of low latency and reliability since variables must be continuously monitored. For this reason, industrial internet of things (IIoT) is a challenge for the current infrastructure because it generates a large amount of data making...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7150518/ https://www.ncbi.nlm.nih.gov/pubmed/32300668 http://dx.doi.org/10.1016/j.heliyon.2020.e03706 |
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author | Caiza, Gustavo Saeteros, Morelva Oñate, William Garcia, Marcelo V. |
author_facet | Caiza, Gustavo Saeteros, Morelva Oñate, William Garcia, Marcelo V. |
author_sort | Caiza, Gustavo |
collection | PubMed |
description | The industrial applications in the cloud do not meet the requirements of low latency and reliability since variables must be continuously monitored. For this reason, industrial internet of things (IIoT) is a challenge for the current infrastructure because it generates a large amount of data making cloud computing reach the edge and become fog computing (FC). FC can be considered as a new component of Industry 4.0, which aims to solve the problem of big data, reduce energy consumption in industrial sensor networks, improve the security, processing and storage real-time data. It is a promising growing paradigm that offers new opportunities and challenges, beside the ones inherited from cloud computing, which requires a new heterogeneous architecture to improve the network capacity for delivering edge services, that is, providing computing resources closer to the end user. The purpose of this research is to show a systematic review of the most recent studies about the architecture, security, latency, and energy consumption that FC presents at industrial level and thus provide an overview of the current characteristics and challenges of this new technology. |
format | Online Article Text |
id | pubmed-7150518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-71505182020-04-16 Fog computing at industrial level, architecture, latency, energy, and security: A review Caiza, Gustavo Saeteros, Morelva Oñate, William Garcia, Marcelo V. Heliyon Article The industrial applications in the cloud do not meet the requirements of low latency and reliability since variables must be continuously monitored. For this reason, industrial internet of things (IIoT) is a challenge for the current infrastructure because it generates a large amount of data making cloud computing reach the edge and become fog computing (FC). FC can be considered as a new component of Industry 4.0, which aims to solve the problem of big data, reduce energy consumption in industrial sensor networks, improve the security, processing and storage real-time data. It is a promising growing paradigm that offers new opportunities and challenges, beside the ones inherited from cloud computing, which requires a new heterogeneous architecture to improve the network capacity for delivering edge services, that is, providing computing resources closer to the end user. The purpose of this research is to show a systematic review of the most recent studies about the architecture, security, latency, and energy consumption that FC presents at industrial level and thus provide an overview of the current characteristics and challenges of this new technology. Elsevier 2020-04-08 /pmc/articles/PMC7150518/ /pubmed/32300668 http://dx.doi.org/10.1016/j.heliyon.2020.e03706 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Caiza, Gustavo Saeteros, Morelva Oñate, William Garcia, Marcelo V. Fog computing at industrial level, architecture, latency, energy, and security: A review |
title | Fog computing at industrial level, architecture, latency, energy, and security: A review |
title_full | Fog computing at industrial level, architecture, latency, energy, and security: A review |
title_fullStr | Fog computing at industrial level, architecture, latency, energy, and security: A review |
title_full_unstemmed | Fog computing at industrial level, architecture, latency, energy, and security: A review |
title_short | Fog computing at industrial level, architecture, latency, energy, and security: A review |
title_sort | fog computing at industrial level, architecture, latency, energy, and security: a review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7150518/ https://www.ncbi.nlm.nih.gov/pubmed/32300668 http://dx.doi.org/10.1016/j.heliyon.2020.e03706 |
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