Open AccessResearch and Implementation of Geography Information Query System Based on HBase
Author(s) -
Lin Qian,
Jun Yu,
Guangli Zhu,
Hengmao Pang,
Ming Feng,
Wenda Lu,
Haiyang Chen,
Mingjie Xu,
Wei Chen Lin,
Zhu Mei
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/384/1/012168
Subject(s) - cloud computing , computer science , scalability , query optimization , query expansion , database , sargable , information system , information retrieval , distributed computing , data science , web search query , search engine , operating system , engineering , electrical engineering
With the rise of cloud computing research, the advantages of cloud computing and storage resources are discovered continuously: distributed computing, massive, dynamic and so on. Consequently, more and more application systems begin to migrate to the cloud platform. However, the difference between cloud platform and traditional single or multiple sever model bring certain challenges to the system development. In this thesis, a Geography information query system based on HBase was studied and implemented rellied on National Geography Public Welfare Project. The query system can make users to retrieve the information of sea wind and satellite images by the graphical interface. Through the effective application of query technology, the system can efficiently extract the concerned Geography data information for the fishery production and Geography disaster prevention. This thesis firstly displayed the Geography information query system with the running examples, and secondly tested and analized the HBase query optimization technology to vertify its great expandability and usability. Finally, the performance test of Geography information query system indicated that the system had high scalability and high reliability in the cloud environment.