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

被引：4

作者：

Kitagami, Shinji ^{[1
,2
]}

Yamamoto, Moriki

Koizumi, Hisao ^{[4
]}

Suganuma, Takuo ^{[3
]}

机构：

[1] Mitsubishi Electr Corp, Kamakura, Kanagawa, Japan

[2] Tohoku Univ, Grad Sch Informat Sci, Sendai, Miyagi, Japan

[3] Tohoku Univ, Grad Sch Informat Sci, Cybersci Ctr, Sendai, Miyagi, Japan

[4] Tokyo Denki Univ, Saitama, Japan

来源：

2013 IEEE 27TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA) | 2013年

关键词：

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

D O I：

10.1109/WAINA.2013.124

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：953 / 958

页数：6

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