Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: IOP Conference Series: Earth and Environmental Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.