Open Access
Fog computing at industrial level, architecture, latency, energy, and security: A review
Publication type: Journal Article
Publication date: 2020-04-08
PubMed ID:
32300668
Multidisciplinary
Abstract
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.
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Metrics
86
Total citations:
86
Citations from 2024:
21
(24.42%)
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GOST
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Caiza G. et al. Fog computing at industrial level, architecture, latency, energy, and security: A review // Heliyon. 2020. Vol. 6. No. 4. p. e03706.
GOST all authors (up to 50)
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Caiza G., Saeteros M., Oñate W., Garcia M. V. Fog computing at industrial level, architecture, latency, energy, and security: A review // Heliyon. 2020. Vol. 6. No. 4. p. e03706.
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RIS
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TY - JOUR
DO - 10.1016/j.heliyon.2020.e03706
UR - https://doi.org/10.1016/j.heliyon.2020.e03706
TI - Fog computing at industrial level, architecture, latency, energy, and security: A review
T2 - Heliyon
AU - Caiza, Gustavo
AU - Saeteros, Morelva
AU - Oñate, William
AU - Garcia, Marcelo V
PY - 2020
DA - 2020/04/08
PB - Elsevier
SP - e03706
IS - 4
VL - 6
PMID - 32300668
SN - 2405-8440
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2020_Caiza,
author = {Gustavo Caiza and Morelva Saeteros and William Oñate and Marcelo V Garcia},
title = {Fog computing at industrial level, architecture, latency, energy, and security: A review},
journal = {Heliyon},
year = {2020},
volume = {6},
publisher = {Elsevier},
month = {apr},
url = {https://doi.org/10.1016/j.heliyon.2020.e03706},
number = {4},
pages = {e03706},
doi = {10.1016/j.heliyon.2020.e03706}
}
Cite this
MLA
Copy
Caiza, Gustavo, et al. “Fog computing at industrial level, architecture, latency, energy, and security: A review.” Heliyon, vol. 6, no. 4, Apr. 2020, p. e03706. https://doi.org/10.1016/j.heliyon.2020.e03706.