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...
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doaj-e56f8dbc1f774230a66874d22614043b2020-11-25T02:07:42ZengElsevierHeliyon2405-84402020-04-0164e03706Fog computing at industrial level, architecture, latency, energy, and security: A reviewGustavo Caiza0Morelva Saeteros1William Oñate2Marcelo V. Garcia3Electronic Engineering, Universidad Politecnica Salesiana (UPS), 170146, Quito, Ecuador; Corresponding author.Electronic Engineering, Universidad Politecnica Salesiana (UPS), 170146, Quito, EcuadorElectronic Engineering, Universidad Politecnica Salesiana (UPS), 170146, Quito, EcuadorDepartment of Systems Engineering and Automation, Basque Country University (UPV/EHU), 48013, Bilbao, SpainThe 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.http://www.sciencedirect.com/science/article/pii/S240584402030551XComputer scienceIndustry 4.0Cloud computingFog nodesFog computingSmart factories |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gustavo Caiza Morelva Saeteros William Oñate Marcelo V. Garcia |
spellingShingle |
Gustavo Caiza Morelva Saeteros William Oñate Marcelo V. Garcia Fog computing at industrial level, architecture, latency, energy, and security: A review Heliyon Computer science Industry 4.0 Cloud computing Fog nodes Fog computing Smart factories |
author_facet |
Gustavo Caiza Morelva Saeteros William Oñate Marcelo V. Garcia |
author_sort |
Gustavo Caiza |
title |
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_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_sort |
fog computing at industrial level, architecture, latency, energy, and security: a review |
publisher |
Elsevier |
series |
Heliyon |
issn |
2405-8440 |
publishDate |
2020-04-01 |
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. |
topic |
Computer science Industry 4.0 Cloud computing Fog nodes Fog computing Smart factories |
url |
http://www.sciencedirect.com/science/article/pii/S240584402030551X |
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