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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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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