Key technniques of distributed geospatial information operations

In order to improve spatial operations efficiency of massive data in distributed environment and to solve the interactive design problems of spatial analysis processing module designed to service agreement with the underlying database, spatial data models, map display and so on. For the status quo that there is no GIS software for a practical analysis of distributed computing, we have carried out in-depth study combined with the distributed characteristics of spatial data and information. The distributed geospatial information operation framework was designed in this paper. The basic characteristics of distributed computing are analyzed in this paper. The author of this paper discussed the distributed computing spatial information technology system form following aspects: apace computing task decomposition, distributed spatial data classification method, sharing data replication strategy, the data partitioning strategy based on the load and the caching mechanism of space computing framework, based on this framework, the author has developed the system for resolving the practical problems. In this paper, the proposed distributed computing framework suitable for distributed spatial analysis has solved the key technical problems of distributed spatial analysis computing framework. And it is accordant with "service-oriented" thinking, takes into account the heterogeneity of spatial data sources, and the distributed spatial computing among the different systems on different platforms. The dynamic load scheduling has improved the static data partitioning method, it avoids the load imbalance problem in the phase of static data partitioning. It solved the efficiency of large-scale spatial data operations in the complex distributed environment in practical applications. At last, based on the software, we do the distributed clipping computing environment test of the classic space experiments, a detailed result has given at the last of the article, it has shown that, the frame- - work is designed novelty, and can reduce the spatial computing time in the distributed environments extremely.