An M2M Data Analysis Service System Based on Open Source Software Environments

Author

Kitagami, S. ; Yamamoto, Manabu ; Koizumi, Hirotaka ; Suganuma, Toshio

Author_Institution

Mitsubishi Electr. Corp., Kamakura, Japan

fYear

2013

fDate

25-28 March 2013

Firstpage

953

Lastpage

958

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.

Keywords

data analysis; database management systems; programming environments; public domain software; real-time systems; DSMS; M2M data analysis service system; SQLite; data stream management system; deep data analysis; demand response system; machine-to-machine service system; massive data analysis; open source software environment; real-time data analysis; small-and medium-sized M2M service system; smart grid; software product cost; Data analysis; Distributed databases; Load management; Logic gates; Power demand; Real-time systems; Servers; Accumulated data analysis; DSMS; Demand response; R; SQLite; Stream data analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on

Conference_Location

Barcelona

Print_ISBN

978-1-4673-6239-9

Electronic_ISBN

978-0-7695-4952-1

Type

conf

DOI

10.1109/WAINA.2013.124

Filename

6550518