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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Autonomic Computing, ICAC 2015
EditorsPhilippe Lalanda, Samuel Kounev, Ada Diaconescu, Lucy Cherkasova
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages319-324
Number of pages6
ISBN (Electronic)9781467369701
DOIs
Publication statusPublished - 2015 Sep 14
Event12th IEEE International Conference on Autonomic Computing, ICAC 2015 - Grenoble, France
Duration: 2015 Jul 72015 Jul 10

Publication series

NameProceedings - IEEE International Conference on Autonomic Computing, ICAC 2015

Other

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

Keywords

  • Data Management
  • Internet of Things
  • NOSQL
  • Sensing Data
  • Smart Community

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software
  • Control and Systems Engineering

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  • Cite this

    Hashi, Y., Matsumoto, K., Seki, Y., Hiji, M., Abe, T., & Suganuma, T. (2015). Design and implementation of data management scheme to enable efficient analysis of sensing data. In P. Lalanda, S. Kounev, A. Diaconescu, & L. Cherkasova (Eds.), Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015 (pp. 319-324). [7266987] (Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAC.2015.58