[1]韩同欣*,向筱铭*,杨 雪.面向场景优化的气象信息化资源池架构设计[J].计算机技术与发展,2022,32(S2):136-141.[doi:10. 3969 / j. issn. 1673-629X. 2022. S2. 024]
 HAN Tong-xin*,XIANG Xiao-ming*,YANG Xue.Framework System of National and Provincial Meteorological Information Infrastructure Resource Pool for Scenario Optimization[J].,2022,32(S2):136-141.[doi:10. 3969 / j. issn. 1673-629X. 2022. S2. 024]
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面向场景优化的气象信息化资源池架构设计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年S2期
页码:
136-141
栏目:
应用前沿与综合
出版日期:
2022-12-11

文章信息/Info

Title:
Framework System of National and Provincial Meteorological Information Infrastructure Resource Pool for Scenario Optimization
文章编号:
1673-629X(2022)S2-0159-06
作者:
韩同欣1* 向筱铭23* 杨 雪23
1. 国家气象信息中心,北京 100081;
2. 四川省气象探测数据中心,四川 成都 610072;
3. 高原与盆地旱涝灾害四川省重点实验室,四川 成都 610072
Author(s):
HAN Tong-xin1* XIANG Xiao-ming23* YANG Xue23
1. National Meteorological Information Center,Beijing 100081,China;
2. Sichuan Meteorological Observation and Data Centre,Chengdu 610072,China;
3. Heavy Rain and Drought-Flood Disasters in Plateau and Basin KeyLaboratory of Sichuan Province,Chengdu 610072,China
关键词:
资源池云计算虚拟化分布式存储分布式数据库并行计算
Keywords:
resource poolcloud computingvirtualizationdistributed storagedistributed databaseparallel computing
分类号:
TP31;P409
DOI:
10. 3969 / j. issn. 1673-629X. 2022. S2. 024
摘要:
针对气象业务中日益增长的海量气象数据收集、加工、存储和服务对计算资源和存储资源的需求,采用云计算技术建立弹性可扩展的基础设施资源池是一种高效和可靠的技术方案。 论文在对气象业务需求场景进行分析的基础上,设计了气象信息化基础设施资源池体系架构,包括虚拟化资源池设计、分布式物理资源池设计、数据存储池设计和资源池管理平台设计。 并对使用该架构体系的安徽、浙江、内蒙等省份应用效益情况进行了分析,结果表明,该体系有效提高了气象 IT 资源的利用率和交付速度,为近年来气象业务现代化的建设提供了不可或缺的算力保障和支撑。
Abstract:
In view of the increasing demand for computing resources and storage resources for the collection, processing, storage andservice of massive meteorological data in meteorological business,it is an efficient and reliable technical scheme to establish an elastic andscalable infrastructure resource pool by using cloud computing technology. Based on the analysis of the demand scenarios ofmeteorological business,the resource pool architecture of meteorological information infrastructure is designed,including virtual resourcepool design,distributed physical resource pool design, data storage pool design and resource pool management platform design. Theresults show that the system effectively improves the utilization and delivery speed of meteorological IT resources,and provides an indispensable computational guarantee and support for the modernization of meteorological business in recent years.

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更新日期/Last Update: 2022-10-10