A Novel Cloud-based Fog Computing Network Architecture for Smart Factory Big data Applications
Dae Jun Ahn, Jongpil Jeong, Sunpyo Lee · 2018
Research on the cloud system is increasing among the various ways to deal with the data generated by Smart Factory. In this paper, we propose Cloud-Fog computing network architecture that can be efficiently used to store, analyze, and utilize the accumulated data in smart factories. Build and evaluate system modeling and test bed based on the proposed architecture. As a result, the cloud developed in the open stack can be used for smart factory operation, analyzing various types of data, and checking the status of real-time processing through a dashboard, making it the most suitable structure for a smart factory environment requiring real-time performance.