A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing

The state-of-the-art technologies in new generation information technologies (New IT) greatly stimulate the development of smart manufacturing. In a smart manufacturing environment, more and more devices would be connected to the Internet so that a large volume of data can be obtained during all pha...

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Main Authors: Qinglin Qi, Fei Tao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8740963/
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spelling doaj-2526f686524a41c289ee23273f782a4e2021-03-29T23:57:37ZengIEEEIEEE Access2169-35362019-01-017867698677710.1109/ACCESS.2019.29236108740963A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud ComputingQinglin Qi0https://orcid.org/0000-0002-3247-0440Fei Tao1https://orcid.org/0000-0002-9020-0633School of Automation Science and Electrical Engineering, Beihang University, Beijing, ChinaSchool of Automation Science and Electrical Engineering, Beihang University, Beijing, ChinaThe state-of-the-art technologies in new generation information technologies (New IT) greatly stimulate the development of smart manufacturing. In a smart manufacturing environment, more and more devices would be connected to the Internet so that a large volume of data can be obtained during all phases of the product lifecycle. Cloud-based smart manufacturing paradigm facilitates a new variety of applications and services to analyze a large volume of data and enable large-scale manufacturing collaboration. However, different factors, such as the network unavailability, overfull bandwidth, and latency time, restrict its availability for high-speed and low-latency real-time applications. Fog computing and edge computing extended the compute, storage, and networking capabilities of the cloud to the edge, which will respond to the above-mentioned issues. Based on cloud computing, fog computing, and edge computing, in this paper, a hierarchy reference architecture is introduced for smart manufacturing. The architecture is expected to be applied in the digital twin shop floor, which opens a bright perspective of new applications within the field of manufacturing.https://ieeexplore.ieee.org/document/8740963/Cloud computingdigital twinedge computingfog computinghierarchical architecturesmart manufacturing
collection DOAJ
language English
format Article
sources DOAJ
author Qinglin Qi
Fei Tao
spellingShingle Qinglin Qi
Fei Tao
A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing
IEEE Access
Cloud computing
digital twin
edge computing
fog computing
hierarchical architecture
smart manufacturing
author_facet Qinglin Qi
Fei Tao
author_sort Qinglin Qi
title A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing
title_short A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing
title_full A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing
title_fullStr A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing
title_full_unstemmed A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing
title_sort smart manufacturing service system based on edge computing, fog computing, and cloud computing
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description The state-of-the-art technologies in new generation information technologies (New IT) greatly stimulate the development of smart manufacturing. In a smart manufacturing environment, more and more devices would be connected to the Internet so that a large volume of data can be obtained during all phases of the product lifecycle. Cloud-based smart manufacturing paradigm facilitates a new variety of applications and services to analyze a large volume of data and enable large-scale manufacturing collaboration. However, different factors, such as the network unavailability, overfull bandwidth, and latency time, restrict its availability for high-speed and low-latency real-time applications. Fog computing and edge computing extended the compute, storage, and networking capabilities of the cloud to the edge, which will respond to the above-mentioned issues. Based on cloud computing, fog computing, and edge computing, in this paper, a hierarchy reference architecture is introduced for smart manufacturing. The architecture is expected to be applied in the digital twin shop floor, which opens a bright perspective of new applications within the field of manufacturing.
topic Cloud computing
digital twin
edge computing
fog computing
hierarchical architecture
smart manufacturing
url https://ieeexplore.ieee.org/document/8740963/
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