Research On Key Technologies Of Remote Sensing Cloud Computing Infrastructure

Today's society,the continuous development of information technology,cloud computing continues to spread,cloud computing is slowly deep into our lives in all areas of work.In the field of remote sensing,with the development of ground observation technology,a series of main and passive sensors with high spectral resolution,high spatial resolution,high time resolution,multi-polarization and multi-angle are launched.So the remote sensing data acquisition and update cycle is shortened,the timeliness is getting stronger and stronger,leading to the explosive growth of the volume of data.How to effectively use and deal with these high scores of data,the traditional spatial information system in the calculation,storage,service and performance is a huge challenge.This paper takes the cloud infrastructure in remote sensing cloud system as the research object,summarizes the development trend of domestic and foreign related technologies,and analyzes the remote sensing cloud service platform system based on cloud computing.Combined with open source tools OpenStack and SaltStack provide virtual machine based on the cloud computing model,developed a remote sensing cloud infrastructure in the construction of key technologies for remote sensing cloud platform users to provide a more personalized,open,flexible and efficient and efficient services.First of all,this paper analyzes the function of remote sensing cloud system platform based on cloud computing,and puts forward the research purpose and research content according to the background of the subject.The functions of the cloud computing environment in the remote sensing cloud system are designed and implemented,including user customization service and user cluster monitoring service.It mainly refers to the installation of the system in the computing environment,the automatic deployment of the software,the dynamic scheduling,monitoring and management of the resources,To provide users with a convenient remote sensing data processing computing environment,storage platform.And finally realized the remote sensing virtual environment personalized,large-scale production services.Second,have provided users with one-click installation for some of the deployment and maintenance are very difficult remote sensing business software for a modular production.Effective solution to the remote sensing users must master the considerable computer technology in order to correctly install some complex remote sensing software problems.And through the Ganglia system of running the system load the resource load data,the system operating conditions for the system for automatic resource scheduling and on-demand Distribution basis.Finally,in the realization of system operation,on the basis of summarizing the current research results and deficiencies,and the following research work prospects.