Study On Data Access And Integration Technologies Of Spatial Data Grid

Data Grid is the distributed management of large-scale data and the infrastructure analysis; it has implemented uniform storage, management, access and transmission of distributed, heterogeneous data. Apply Data Grid to the interoperability field of spatial data,is a new attempt that solve the problem of sharing spatial data effectively and making full use of it.This thesis dose research on data access and integration technology of Spatial Data Grid .The main contributions can be summarized as following:This thesis discusses the support technology of Spatial Data Grid, including Web services, Open Grid Services Architecture (OGSA) and Web Services Resource Framework (WSRF), puts forward Spatial Data Grid four-tier architecture: Resource Layer, Basic Service Layer, Service Layer, and Application Layer.In the Spatial Grid environment, which is based on the Metadata Standard ISO 19115 and the OGC Catalogue services for Web (CSW) criterion, a Spatial Metadata Catalogue Services is designed and implemented.For the storage distributing and variety of data storage format, this thesis puts forward a framework expression and integration spatial data based on GML which analyzes the status of the spatial data interoperability method, implements a service-oriented spatial data access and integrated approach by expanding the OGSA-DAI. This thesis also designs and implements the access and integration interfaces for the spatial data files, GML database, spatial database, and discusses in the grid environment, that OGSA-DAI/GML is the best option to solve the problem of spatial data interoperability.Based on GT4, designes and develops a prototype system of Spatial Data Grid, and implements the data registration function of the Metadata Catalogue Service , data files and GML database access and integration, validates the feasibility of data access and integration method based on OGSA-DAI/GML.