Title :
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
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;
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
DOI :
10.1109/WAINA.2013.124
