Platform Stability Test for Efficient Processing of Land Resource Services based on Amazon AWS Architecture and ISAR Images

Abstract

In order to realize the multi-level grid management and efficient processing of massive land resource data, a land resource multi-level grid management platform LR-MGSP based on the cloud server Amazon AWS architecture and iSAR images is designed. In terms of caching and incremental statistics, the strategies and methods to improve the processing performance of the platform are discussed, the distributed storage strategy of spatial data, the task allocation model of virtual computing nodes, the dynamic map publishing strategy based on tiles, and the efficient processing combined with parallel database and Model.