Design and implementation of data management scheme to enable efficient analysis of sensing data

Yuichi Hashi, Kazuyoshi Matsumoto, Yoshinori Seki, Masahiro Hiji, Toru Abe, Takuo Suganuma

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

ICT supports smart communities in their aim to build efficient and sustainable social infrastructure. To realize a smart community, it is necessary to manage and analyze data about the community including large volumes of sensing data, meta-data, as well as information on data sources and consent for use, all of which are interrelated. We propose a data management scheme capable of both high-speed search of large volumes of data for analysis, and flexible search of data which changes depending on the collection environment. A major characteristic of our scheme is that it combines a schema-free, document-oriented database and an graph database suited for flexible search. We implement proposed data management scheme, and evaluate a performance of the search for sensing data. As the result, searching time of large volumes of sensing data is very high-speed. We believe that proposed data management scheme is able to minimize the the time required for analysis.

本文言語English
ホスト出版物のタイトルProceedings - IEEE International Conference on Autonomic Computing, ICAC 2015
編集者Philippe Lalanda, Samuel Kounev, Ada Diaconescu, Lucy Cherkasova
出版社Institute of Electrical and Electronics Engineers Inc.
ページ319-324
ページ数6
ISBN(電子版)9781467369701
DOI
出版ステータスPublished - 2015 9月 14
イベント12th IEEE International Conference on Autonomic Computing, ICAC 2015 - Grenoble, France
継続期間: 2015 7月 72015 7月 10

出版物シリーズ

名前Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015

Other

Other12th IEEE International Conference on Autonomic Computing, ICAC 2015
国/地域France
CityGrenoble
Period15/7/715/7/10

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • ソフトウェア
  • 制御およびシステム工学

フィンガープリント

「Design and implementation of data management scheme to enable efficient analysis of sensing data」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル