An M2M data analysis service system based on open source software environment

Shinji Kitagami, Moriki Yamamoto, Makoto Imamura, Hidetoshi Kambe, Hisao Koizumi, Takuo Suganuma

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1521-1528+14
JournalIEEJ Transactions on Electronics, Information and Systems
Volume133
Issue number8
DOIs
Publication statusPublished - 2013

Keywords

  • DSMS
  • Demand Response
  • Flow-type data analysis
  • R
  • SQLite
  • Stock-type data analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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