Doctoral thesis-Research and study on the key technologies of efficient land resource service platform based on cloud computing

Zhejiang University Fonres

The research of text mainly includes the following aspects: 1. Summarizing the basic theory and application results of cloud computing. It focuses on the basic architecture of cloud computing, key technology theory and 4 successful commercial cloud computing platform reference architectures. 2, analyze the key technologies of cloud computing, and put forward the key technology of corresponding cloud GIS platform: Distributed storage strategy of spatial data, task assignment model of Virtual computing node, dynamic Map Publishing strategy based on tile, and efficient processing model combining parallel database with MapReduce. 3, the design realizes the prototype platform and carries on the 4 Group Contrast test experiment. The 3 functional modules of the land resources cloud platform are realized and demonstrated: Cloud Resource management module, Land business integration subsystem and universal client. The 4 key technologies of land resource cloud Platform were tested by selecting the vector and raster data of large data.

Key words: GIS cloud computing Service-oriented framework land resource management high performance parallel computing distributed Storage Policy MapReduce Programming mode Drayd

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