Design and Implementation of Data Management Scheme to Enable Efficient Analysis of Sensing Data

Authors: 
Yuichi Hashi
Kazuyoshi Matsumoto
Yoshinori Seki
Masahiro Hiji
Toru Abe
Takuo Suganuma
Organization: 
Hitachi Solutions East Japan, Ltd; Tohoku University
Published in: 
Proceedings of 2015 IEEE 12th International Conference on Autonomic Computing
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.