4.6 Article

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

Journal

IEEE ACCESS
Volume 7, Issue -, Pages 86769-86777

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2923610

Keywords

Cloud computing; digital twin; edge computing; fog computing; hierarchical architecture; smart manufacturing

Funding

  1. National Natural Science Foundation of China [51875030]
  2. National Key Research and Development Program of China [2016YFB1101700]
  3. Beijing Science and Technology Project [Z181100003118001]
  4. Academic Excellence Foundation of BUAA

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available