A grid-based approach to massive geospatial data management

As various geospatial data are providing people with more and more convenience of daily lives, it's significant to research on managing the increasingly growing geospatial data. This paper proposes a grid-based approach to geospatial data management. There are three layers in our approach. At the storage layer, a shared grid environment is built for massive geospatial data storage. At the logical layer, a geo-middleware that consists of a server, a geospatial operating library and a client toolkit, is developed to enable the geospatial data access and integration. At the application layer, using some mature open-source projects, a prototype system is designed to demonstrate our approach. The feasibility and practicability of our approach is verified by a practical cased. In a word, this grid-based approach has great potential to be improved as a novel solution for massive geospatial data management in the future.