Paper Info
Title
Design and Implementation of Data Management Scheme to Enable Efficient Analysis of Sensing Data
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.
Year
DOI
Venue
2015
10.1109/ICAC.2015.58
International Conference on Autonomic Computing
Keywords
Field
DocType
Smart Community, Internet of Things, NOSQL, Data Management, Sensing Data
Data warehouse,Data modeling,Data administration,Data quality,Computer science,Database design,Data virtualization,Data model,Data management,Database,Distributed computing
Conference
Citations 
PageRank 
References 
1
0.35
1
Authors
6
Name
Order
Citations
PageRank
Yuichi Hashi121.85
Kazuyoshi Matsumoto210.69
Yoshinori Seki310.35
Masahiro Hiji495.96
Toru Abe569.68
Takuo Suganuma634161.14