A Study on Big Data Cluster in Smart Factory using Raspberry-Pi
Chae-Soo Kim, Seung-Beom Son · 2018
In smart factory, the IoT (Internet of things) is applied to capture the data generated by the production facility, store and analyze data generated in real time using Big Data technology. A parallel distributed processing system for big data analysis and processing requires a large-capacity server and a high cost to build infrastructure. In acquisition of shop floor data, Raspberry-Pi which is a low cost single board computer is very efficient device for big data clustering. In this paper, we show an case study on the feasibility of Raspberry-Pi as a big data cluster in smart factory.