气象基础设施云平台关键设计与实现

为适配气象业务科研应用对算力、存储资源的需求特点，采用分布式计算、分布式存储、虚拟化技术搭建气象基础设施云平台，并根据不同的业务类别、网络区域、资源服务对象针对性地设计云平台资源分区，以及每个分区需具备的云资源及功能。设计的云平台涵盖IaaS层、PaaS层功能，通过软件定义方式池化硬件资源，形成具备云计算、大数据支撑特征的资源池，为众多气象应用端部署、气象大数据业务提供虚拟主机、物理算力、数据存储资源。实际运行效果表明设计的气象基础设施云平台能够适应数据处理规模与时效性要求不断提升的业务发展需求。

Key Design and Implementation of Cloud Platform for Meteorological Infrastructure

In order to adapt to the requirements of computing power and storage resources for scientific research applications of meteorological operations, the cloud platform of meteorological infrastructure is built by using distributed computing, distributed storage and virtualization technology. And the cloud platform resource partition is designed according to different business categories, network partition, resource service objects, and each partition needs to have cloud resources. The designed cloud platform covers the functions of the IaaS layer and PaaS layer. The supporting hardware architecture is mainly distributed architecture, which provides physical computing power, virtual host and distributed storage to support meteorological big data business and much meteorological application deployment. The operation can meet the functional and performance requirements of meteorological applications for intensive infrastructure resources.