TY - GEN
T1 - Design and implementation of data management scheme to enable efficient analysis of sensing data
AU - Hashi, Yuichi
AU - Matsumoto, Kazuyoshi
AU - Seki, Yoshinori
AU - Hiji, Masahiro
AU - Abe, Toru
AU - Suganuma, Takuo
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/14
Y1 - 2015/9/14
N2 - 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.
AB - 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.
KW - Data Management
KW - Internet of Things
KW - NOSQL
KW - Sensing Data
KW - Smart Community
UR - http://www.scopus.com/inward/record.url?scp=84961827251&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84961827251&partnerID=8YFLogxK
U2 - 10.1109/ICAC.2015.58
DO - 10.1109/ICAC.2015.58
M3 - Conference contribution
AN - SCOPUS:84961827251
T3 - Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015
SP - 319
EP - 324
BT - Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015
A2 - Lalanda, Philippe
A2 - Kounev, Samuel
A2 - Diaconescu, Ada
A2 - Cherkasova, Lucy
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE International Conference on Autonomic Computing, ICAC 2015
Y2 - 7 July 2015 through 10 July 2015
ER -