GIS Spatial Data Integration Based on Grid Computing

Abstract

Multi-source heterogeneous spatial data has been the obstacle of the spatial information sharing. So, in the network environment, how to integrate multi-sources heterogeneous spatial data has become a hot and difficult problem of GIS. This article aimed to solve the problem by grid computing technology, and put forward a model of multi-sources heterogeneous spatial data integration based on it. Use Globus Toolkit and OGSA-DAI to establish a heterogeneous data integration platform. Based on the platform, various heterogeneous data sources can be connected seamlessly. Each data source node can be registered on it for data sharing. The platform can also harmonize and manage all data source nodes, and provide users with a unified and transparent access interface. With the existing grid middleware tool Globus Toolkit and OGSA-DAI, grid development tools can be packaged, thereby shielding the complexity of grid theory and the tools. Integrate a number of distribution, independent heterogeneous data sources into a specific environment, realize the unification inquirment on these multi-database systems, shielding the differences of database structures, operating environments, network distribution and concrete Physical location to ensure the independence of each database node and data security.