随着空间信息产业的发展,空间信息服务的需求越来越多,系统的可扩展性、可靠性和可用性的要求越来越高,为此提出了一种基于云计算的空间信息服务系统.系统的设计遵循应用即服务的思想,采用分布式文件系统、分布式数据库、并行编程模型(Map/Reduce)和工作流等技术,支持海量数据存储、资源目录和交换体系以及并行程序处理,可提供从数据到处理功能的一体化服务.最后以植被净初级生产力计算服务为例,对系统设计和关键技术进行了验证.实验证明,本系统具有可行性,能满足空间信息服务的多种需求.%With the development of spatial information industry, there are more and more needs for spatial information serv-ices. The system requirement for scalability, reliability and availability is increasing. Thus this paper proposed a new spatial information service system based on cloud computing. The design of the system followed the principle of application as a serv-ice. At the implementation of the prototype, made full use of the distributed file system, distributed database, workflow and Map/Reduce parallel program diagram to support massive data management, resource directory, exchange system and parallel processing. The system could provide integrated service. Finally used the example of NPP computing service to verify the de-sign of system and key technologies. The experiment shows the system is reasonable and can provide multiple spatial informa-tion services.
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