Open AccessAn Analysis Technique of Evacuation Simulation Using an Array DBMS
Author(s) -
Yusuke Kawai,
Jing Zhao,
Katsuaki Sugiura,
Yoshiharu Ishikawa,
Yoshinori Wakita
Publication year - 2018
Publication title -
journal of disaster research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.332
H-Index - 18
eISSN - 1883-8030
pISSN - 1881-2473
DOI - 10.20965/jdr.2018.p0338
Subject(s) - relational database management system , computer science , database , scale (ratio) , relational database , data management , data model (gis) , artificial intelligence , physics , quantum mechanics
Today, large-scale simulations are thriving because of the increase of computating performance and storage capacity. Understanding the results of these simulations is not easy, and hence, support for interactive and exploratory analysis is becoming more important. This study focuses on spatio-temporal simulations and attempts to develop an analysis technology to support them. It uses a database system for supporting interactive analysis of large-scale data. Since the data gained via spatio-temporal simulations is not suitable for management in a relational DBMS (RDBMS), this study uses an array DBMS , a type of DBMS that has been garnering increased attention in recent years. An array DBMS is designed for the management of large-scale array data; it provides a logical model for array data, yet it also supports efficient query processing. SciDB is used as our specific array DBMS in this paper. This study targets disaster evacuation simulation data and demonstrates via experimentation that the query-processing functions offered by an array DBMS provide effective analysis support.