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高性能气象数据存储集群及在线扩展技术应用
引用本文:赵春燕,孙英锐,董峰,刘立明.高性能气象数据存储集群及在线扩展技术应用[J].计算技术与自动化,2013(3):117-121.
作者姓名:赵春燕  孙英锐  董峰  刘立明
作者单位:国家气象信息中心,北京100081
摘    要:为了满足气象数据快速增长和高效应用的业务需求,设计采用基于SAN和GPFS的高性能存储集群进行数据存储,并随着数据量的快速增长,实现灵活在线扩展以满足数据存储需求.结合国家级气象资料存储检索系统、省级风能资源数据库共享服务系统和风能资源数值模拟系统的存储设计,阐述基于SAN和GPFS技术的存储集群架构,并重点介绍存储集群的在线扩展技术的实现.基于SAN和GPFS的存储集群在线扩展技术包含在线扩展服务器节点、在线扩展存储容量和在线扩展文件系统容量三方面,实现了气象数据存储系统随着业务数据变化的灵活扩展,使系统具备优秀的扩展性和适应性.

关 键 词:气象数据存储  存储集群  SAN  GPFS集群  在线扩展

Application of High Performance Meteorological Data Storage Cluster and Online Extension
ZHAO Chun-yan,SUN Ying-rui,DONG Feng,LIU Li-ming.Application of High Performance Meteorological Data Storage Cluster and Online Extension[J].Computing Technology and Automation,2013(3):117-121.
Authors:ZHAO Chun-yan  SUN Ying-rui  DONG Feng  LIU Li-ming
Affiliation:(National Meteorological Information Center, Beijing 100081,China)
Abstract:In order to meet the rapid growth and efficient application of meteorological data, it is based on SAN and GPFS to design a high-performance storage cluster for data storage, and with the rapid growth of the amount of data, to achieve flexible online extension is very important. With the storage design of National meteorological data storage and retrieval system, wind energy resource data shared system and wind energy resources numerical simulation system,to explain the SAN and GPFS based storage cluster architecture, and highlights it's flexible online extension technology. Online extension technology based on SAN and GPFS storage cluster include server node, storage capacity and file system capacity extension, and makes the meteorological data storage system flexible to the business data changes, the system has excellent scalability and adaptability.
Keywords:meteorological data storage  storage cluster  SAN  GPFS cluster  online extension
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