JOURNAL ARTICLE

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

Qinglin QiFei Tao

Year: 2019 Journal:   IEEE Access Vol: 7 Pages: 86769-86777   Publisher: Institute of Electrical and Electronics Engineers

Abstract

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.

Keywords:
Cloud computing Computer science Edge computing Distributed computing Unavailability Utility computing Engineering Cloud computing security Operating system

Metrics

326
Cited By
31.62
FWCI (Field Weighted Citation Impact)
45
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Digital Transformation in Industry
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Industrial Vision Systems and Defect Detection
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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