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 · 2015
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.