Research on the integration of high resolution remote sensing storage and computing with dual-state cloud support

Research on the integration of high resolution remote sensing storage and computing with dual-state cloud support

Zhejiang University Li Rongya

The main contents of this paper are as follows: (1) A new dual-state cloud storage model for high resolution remote sensing is proposed R Cloud first, the development and advantages of cloud computing are studied, and the technology architecture of the mainstream cloud platform is analyzed. Then, taking the progress of memory hardware as the main line, this paper analyzes the evolution of memory storage and computing technology. Finally, a dual-state cloud model, which combines cloud computing and memory cloud, is proposed to build a high-performance high resolution remote sensing storage and computing platform by combining the stability of the hard disk cloud and the memory cloud. (2) The integrated strategy and technical approach of high resolution remote sensing storage with dual-state cloud support are designed under the premise of integration, this paper studies the organization and storage mode of remote sensing data in dual-state cloud environment, designs a flexible and extensible metadata information management mechanism, realizes the parallel computing task scheduling of multiple cluster nodes under the dual-state cloud, A "read-Calculate-write" asynchronous pipelining model is proposed, and the processing speed of high resolution remote sensing image of cluster nodes is further improved by using GPU kernel computing. (3) to carry out the design and experiment of the integrated prototype system for high resolution remote sensing storage using a variety of advanced technologies in the field of computational science, a prototype system is designed and implemented based on the integration strategy and the key technology of the high resolution remote sensing applications, and the use of terabytes of multiple sources, Multi-resolution three kinds of high resolution remote sensing images have realized the reliability of data storage, the storage ability of the system and the ability of image processing, and proved the performance of the integration of high resolution remote sensing in dual-state cloud.

Research on the integration of high resolution remote sensing storage and computing with dual-state cloud support