Design of a grid-based geo-computation data infrastructure

The research purchases more orders to the geo-computation data infrastructure. It should be distributed, platform-independent, extensible, robust, and can one-stop serve the applications. In this paper, based on grid technology, an SOA based 4-layered data infrastructure which is built up by data nodes, data sources, data agencies, client libraries, and other components is proposed. It adopts an XML based extensible data operating language as the operating language for the data sources. Furthermore, some data sources and data agencies are designed and implemented; and based on them, a prototype of the data infrastructure is constructed and tested. The test shows that the grid-based data infrastructure can share different sources, types and formats of geo-computation data and make it easier to build up geo-computation applications.