[1]陈刚锐,葛莹,艾斯卡尔·阿不力米提,等. GIS云计算系统实例的框架结构研究[J].计算机技术与发展,2017,27(06):99-105.
 CHEN Gang-rui,GE Ying,ASKAR Ablimit,et al. Investigation on Architecture of a GIS Cloud Computing Instance[J].,2017,27(06):99-105.
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 GIS云计算系统实例的框架结构研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年06期
页码:
99-105
栏目:
智能、算法、系统工程
出版日期:
2017-06-10

文章信息/Info

Title:
 Investigation on Architecture of a GIS Cloud Computing Instance
文章编号:
1673-629X(2017)06-0099-07
作者:
 陈刚锐葛莹艾斯卡尔·阿不力米提赵慧慧
 河海大学 地球科学与工程学院
Author(s):
 CHEN Gang-ruiGE YingASKAR AblimitZHAO Hui-hui
关键词:
 GIS云计算系统实例ArcGISServer应用服务器可扩展性高可用性
Keywords:
 GIS Cloud Computing InstanceArcGIS Server Application Serversscalabilityhigh availability
分类号:
TP301
文献标志码:
A
摘要:
 云计算具有可扩展性和高可用性的特点,能够快速配置和调度服务资源,按需为用户提供弹性的GIS服务.基于典型实例剖析了GIS云计算系统的框架结构,介绍了与GIS云计算系统框架结构相关的Web应用服务器工作原理,讨论分析了所用典型实例中云计算系统各组件的地位与作用.从可扩展性和高可用性的角度对GIS云计算系统框架结构的实现方式进行了较为深入、全面的探讨,归纳了负载均衡与动态扩展在向GIS服务提供自适应性计算资源和提高云计算系统容错性方面以及面临用户数量与地理空间数据使用量增加时在保持云计算系统高性能与高资源利用方面的作用以及相关方法,总结了借助云计算技术自动获得弹性计算资源和构建高效稳定GIS应用的技术途径与手段.
Abstract:
 Cloud Computing has the reliable,available and scalable characteristics,which can rapidly allocate cloud service resources and provide elastic and on-demand GIS services.The infrastructure of a typical GIS Cloud Computing Instance has been analyzed.The technical principle of the Web Application Servers has been presented.The offered functionality of each component container in Cloud Computing has been revealed.Furthermore,in terms of the characters of high availability and scalability,the technologies of GIS Cloud Computing Instance have been specifically discussed.How Cloud Computing provides the adaptive computing resources and controls the fault tolerance of this system instance for GIS services through the load balancing and dynamic scalability has been surveyed.Cloud Computing enables GIS applications to maintain sustainability of its high performance and high resource utilization once the number of users and the use of geospatial data increase.Therefore by means of the technology of Cloud Computing GIS services can automatically obtain elastic computing resources and build efficient and stable GIS applications.

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更新日期/Last Update: 2017-07-26