An M2M Data Analysis Service System based on Open Source Software Environment

Abstract

In the Machine-to-Machine (M2M) system, which connects devices to the Internet and provides various remote services, there are many applications that need to carry the stock-type data analysis and the flow-type data analysis at the same time. However, because the stock-type data analysis and the flow-type data analysis are provided as independent systems, it is difficult to combine them. In this paper, we propose a method to process stock-type data analysis and flow-data analysis simultaneously by linking the M2M gateways to the M2M server. In this study, we implemented a prototype system using open source software, such as SQLite and R, to evaluate performance and functions of the proposed method.