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地理国情海量数据云存储技术设计研究
引用本文:朱力维,王志强,王军. 地理国情海量数据云存储技术设计研究[J]. 东北测绘, 2014, 0(6): 131-133,139
作者姓名:朱力维  王志强  王军
作者单位:[1]国家测绘地理信息局管理信息中心,北京100830 [2]黑龙江第三测绘工程院,黑龙江哈尔滨150025 [3]黑龙江测绘地理信息局,黑龙江哈尔滨150081
摘    要:研究了地理国情海量数据特征及数据内容,针对目前数据存储中存在的问题,研究了云存储概念及相关的关键技术,采用HDFS技术提出了云环境下地理国情海量数据组织与资源共享的云存储模型,通过云应用服务接口访问云存储服务,能够有效解决地理国情数据资源海量存储和服务问题,为地理国情数据管理方式的转变提供借鉴。

关 键 词:地理国情  海量数据  云存储  HDFS

The Technology Design Research Based on Massive Data Cloud Storage of Geographical National Conditions
ZHU Li -wei,WANG Zhi -qiang,WANG Jun. The Technology Design Research Based on Massive Data Cloud Storage of Geographical National Conditions[J]. Geomatics & Spatial Information Technology, 2014, 0(6): 131-133,139
Authors:ZHU Li -wei  WANG Zhi -qiang  WANG Jun
Affiliation:1. Management Information Center, State Bureau of Surveying Mapping & Geoinformation, Beijing 100830, China; 2. The Third Surveying and Mapping Engineering Institute of Heilongjiang, Harbin 150025, China; 3. Heilongjiang Administration of Surveying, Mapping and Geoinformation, Harbin 150081, China)
Abstract:This research has geographic conditions mass data features and the data content .For current data storage problems , this research studies cloud storage concept and the related key technologies , and HDFS technology used has cloud environment for geographic conditions mass data organization and resources shared by cloud storage model , through cloud service interface access application by cloud storage service , which can effective settle geographic conditions data resources mass storage and service problems for geographic conditions data management way serving reference to data transformation .
Keywords:geographic national conditions  massive data  cloud storage  HDFS
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