Research and Implementation of Geography Information Query System Based on Improved B-Order Algorithm

Abstract

With the rise of cloud computing research, 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 relied 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. In the implement process of Geography information query system, this thesis studied and optimized the query technology. Firstly, in the query process of NearGoos data, B-order was used to divide the two-dimensional space and combine the sort features of rowkey in the table of HBase to optimize the spatial query. By improving the B-order algorithm, this algorithm made the query efficiency increase two orders of magnitude than before.