ZHANG Changliang,HE Xingting,XIE Yinhai,et al.Research and Application of Key Technologies of Meteorological Information Infrastructure Cloud Platform[J].Journal of Chengdu University of Information Technology,2022,37(05):551-557.[doi:10.16836/j.cnki.jcuit.2022.05.011]
气象信息基础设施云平台关键技术研究与应用
- Title:
- Research and Application of Key Technologies of Meteorological Information Infrastructure Cloud Platform
- 文章编号:
- 2096-1618(2022)05-0551-07
- Keywords:
- infrastructure cloud platform; virtualization; hyperfusion; cloud security; heterogeneous management
- 分类号:
- TN91
- 文献标志码:
- A
- 摘要:
- 对四川气象虚拟化数据中心现状以及业务应用场景进行深入分析,基于软件定义数据中心的虚拟化、云计算、分布式和超融合技术,设计气象信息基础设施云平台的总体框架,研究计算虚拟化、存储虚拟化、网络虚拟化、云安全防护、VMware异构管理和统一云管平台构建等关键技术和实现方法,通过各类资源的“池化”改造,设计实现气象信息基础设施云平台。经过业务测试和全省推广应用,云平台的资源集约化和服务能力显著提高,实现气象基础设施资源的统一调度、业务快速上线、资源灵活调度、容灾备份和自动化运维管理,大力提升业务运行稳定性和IT资源利用效率。
- Abstract:
- This paper deeply analyzes the current situation and business application scenarios of Sichuan meteorological virtualization data center, designs the overall technical framework of meteorological information infrastructure cloud platform based on the virtualization, cloud computing, distributed and super fusion technologies of software defined data center, and studies computing virtualization, storage virtualization, network virtualization, cloud security protection key technologies and methods such as VMware heterogeneous management and the construction of unified cloud management platform, design and implement the meteorological information infrastructure cloud platform through the "pooling" transformation of various resources. After testing and provincial promotion and application, the resource intensification and service capacity of the cloud platform have been significantly improved, realizing the unified scheduling of meteorological infrastructure resources, rapid business online, flexible resource scheduling, disaster recovery backup and automatic operation and maintenance management, and greatly improving the stability of business operation and the utilization efficiency of it resources.
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备注/Memo
收稿日期:2022-02-08
基金项目:中国气象局山洪地质灾害防治气象保障工程资助项目2018(141023025000170007); 高原与盆地暴雨旱涝灾害四川省重点实验室科技发展基金资助项目(2018-青年-14)