Name
Abstract | ||
|---|---|---|
Recently, the industries converge to the integration of the industry 4.0 paradigm to keep responding to the variable market demands. This integration is realized by the adoption of several components of the industry 4.0 such as IoT, Big Data and Cloud Computing, etc. Several difficulties concerning the integration of data management were encountered during first level of Industry 4.0 integration because of the unexpected quantity of data generated by IoT devices. The Fog computing can be considered as a new component of Industry 4.0 to resolve this kind of problem. However its implementation in the industrial field faces several challenges from different natures. This paper explains the role of Fog Computing solution to enhance the Cloud layer (distribution, low latency, real-time,. . . ) and studies its ability to be implemented in manufacturing systems. The Fog Manufacturing is introduced as the new industrial Fog vision. The challenges preventing the Fog Manufacturing implementation are studied and the links between each other are justified. A future use case is described to carry out the solutions given to satisfy the Fog Manufacturing challenges. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/FiCloud.2018.00056 | 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud) |
Keywords | Field | DocType |
Fog Computing, Industry 4.0, IoT, Cloud Computing, Fog Manufacturing | Edge computing,Computer science,Server,Fog computing,Latency (engineering),Industry 4.0,Data management,Big data,Cloud computing,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5386-7504-5 | 0 | 0.34 |
References | Authors | |
14 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Imen Bouzarkouna | 1 | 0 | 0.34 |
| M'Hammed Sahnoun | 2 | 9 | 1.54 |
| Nouha Sghaier | 3 | 0 | 0.34 |
| David Baudry | 4 | 15 | 4.23 |
| Christian Gout | 5 | 91 | 12.24 |