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 language | English |
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| Title of host publication | Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013 |
| Pages | 953-958 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2013 Aug 19 |
| Event | 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013 - Barcelona, Spain Duration: 2013 Mar 25 → 2013 Mar 28 |
Publication series
| Name | Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013 |
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Other
| Other | 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013 |
|---|---|
| Country | Spain |
| City | Barcelona |
| Period | 13/3/25 → 13/3/28 |
Keywords
- Accumulated data analysis
- DSMS
- Demand response
- R
- SQLite
- Stream data analysis
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
UN SDGs
This output contributes to the following Sustainable Development Goal(s)
