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

Shinji Kitagami, Moriki Yamamoto, Hisao Koizumi, Takuo Suganuma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Data analysis in a Machine-to-Machine (M2M) service system should concurrently satisfy three requirements, massive data analysis, real-time data analysis, and deep data analysis. However, for this purpose, it is necessary to introduce costly software products such as a Data Stream Management System (DSMS) into M2M service system. In this paper, we propose an M2M data analysis service system using open source software environments, such as SQLite and R, for small-and medium-sized M2M service system. In this study, we evaluate the proposed system based on an application scenario assuming a demand response system smart grid, and extract challenges for the future.

Original languageEnglish
Title of host publicationProceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013
Pages953-958
Number of pages6
DOIs
Publication statusPublished - 2013 Aug 19
Event27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013 - Barcelona, Spain
Duration: 2013 Mar 252013 Mar 28

Publication series

NameProceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013

Other

Other27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013
CountrySpain
CityBarcelona
Period13/3/2513/3/28

Keywords

  • Accumulated data analysis
  • DSMS
  • Demand response
  • R
  • SQLite
  • Stream data analysis

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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