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

Qinglin Qi, Fei Tao

IEEE Access · 2019 · 338 citations · 41 references

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TL;DR

New information technologies drive smart manufacturing, where expanding device connectivity generates large data volumes and cloud-based paradigms enable large‑scale collaboration, yet network constraints limit real‑time applications, prompting the extension of cloud capabilities to the edge through fog and edge computing. The paper proposes a hierarchical reference architecture for smart manufacturing. The architecture integrates cloud, fog, and edge computing to extend compute, storage, and networking capabilities to the manufacturing edge. It is expected to be applied to digital twin shop floors, opening new manufacturing applications.

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.

References

41