[1]秦运龙,张冰松,祝赢,等.基于分布式框架的气象预报服务系统[J].计算机技术与发展,2019,29(05):178-181.[doi:10. 3969 / j. issn. 1673-629X. 2019. 05. 037]
　QIN Yun-long,ZHANG Bing-song,ZHU Ying,et al.Weather Forecast System Based on Framework of Distributed Services[J].,2019,29(05):178-181.[doi:10. 3969 / j. issn. 1673-629X. 2019. 05. 037]
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基于分布式框架的气象预报服务系统()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年05期
页码:
178-181
栏目:
应用开发研究
出版日期:
2019-05-10

文章信息/Info

Title:
Weather Forecast System Based on Framework of Distributed Services
文章编号:
1673-629X(2019)05-0178-04
作者:
秦运龙1; 张冰松1; 祝赢2; 王迎迎1
1. 湖北省气象信息与技术保障中心,湖北 武汉 430074;2. 武汉中心气象台,湖北 武汉 430074
Author(s):
QIN Yun-long1; ZHANG Bing-song1; ZHU Ying2; WANG Ying-ying1
1. Hubei Meteorological Information and Technical Support Center,Wuhan 430074,China;2. Wuhan Central Meteorological Observatory,Wuhan 430074,China
关键词:
负载均衡; 分布式处理; 分布式存储; 消息队列
Keywords:
load balancing; distributed processing; distributed storage; message queuing
分类号:
TP39
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 05. 037
摘要:
随着气象现代化的不断发展,气象服务产品不断丰富,气象观测数据呈现爆炸式增长,各种气象服务系统集约化程度较低,系统并发访问、处理及检索显示效率较低。 因此,建立集约、高效的预报服务系统成为业务发展的迫切需求。文中提出了气象预报服务系统,该系统采用 Nginx+Apache 应用方案,Storm 分布式数据处理技术,Cassandra 和 HBase 分布式数据存储技术,RabbitMQ 消息队列统一数据分发技术,分别针对网页负载均衡、动静分离响应,大数据分布式并发预处理,数据分类分布式存储,跨平台、高效、可靠的数据分发等服务进行优化设计,实现了针对长江流域、省、市、县用户的高并发、高处理能力、高可靠性的预报服务系统。 该系统的建成极大地提高了气象预报、服务的工作效率,为今后的气象业务发展提供了较好的基础平台。
Abstract:
With the continuous development of the meteorological modernization, the meteorological service products are constantly enriched,the meteorological observation data are increasing with the explosive growth,the intensification degree of various meteorological service system is low,and the efficiency of concurrent access,processing and retrieval display of the system is low. Therefore,the establishment of intensive and efficient forecasting service system has become an urgent need for business development. We put forward a weather forecast service system which adopts Nginx+Apache application scheme,Storm distributed data processing technology,Cassandra and HBase distributed data storage technology and RabbitMQ message queue unified data distribution technology to carry out optimization design respectively for web load balancing,separation of dynamic and static response,big data distributed concurrent preprocessing,classification of data distributed storage,cross-platform,efficient and reliable data distribution and other services,realizing the forecast servicesystem with high concurrency,high processing capacity and reliability for Yangtze River Basin,province,city and county users. The construction of the system has greatly improved the efficiency of weather forecasting and service,and provided a foundation for future meteorological business development.

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更新日期/Last Update: 2019-05-10