| 云计算核心技术分布式计算及应用于地理国情普查的思考 |
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| 引用本文： | 龚强.云计算核心技术分布式计算及应用于地理国情普查的思考[J].测绘与空间地理信息,2015(4):17-20. |
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| 作者姓名： | 龚强 |
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| 作者单位： | 中国地震局工程力学研究所，黑龙江哈尔滨150080; 黑龙江省有色金属地质勘查局，黑龙江哈尔滨150090 |
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| 基金项目： | 地震工程远程协同试验系统的软件研究与开发(0618001)资助 |
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| 摘 要： | 分布式计算源于并行计算。并行计算是同时使用多种计算资源,执行多个指令,协同解决大规模计算问题的过程。分布式计算是把一个需要巨大计算能力才能解决的问题分解成许多小的部分,然后,将其分配给许多计算机去处理,最后,把这些计算结果综合起来以服务用户。采用分布式计算的工作方式,其可用性和系统容错能力明显提高。在地理国情普查中,对地表覆盖影像分割时,利用分布式计算技术,既可提高分割的正确率,又可提高分割速度。利用分布式计算方法,还可以更好地解决地理国情大数据存储和文件处理,以及动态调整、协议和应用接口访问等诸多服务问题。
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| 关 键 词： | 地理国情普查 云计算 分布式计算 应用 |
Thought on Distributed Computing of Cloud Comp uting Cro e Technology and Its Application in Geographic National Conditions Census |
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| GONG Qiang.Thought on Distributed Computing of Cloud Comp uting Cro e Technology and Its Application in Geographic National Conditions Census[J].Geomatics & Spatial Information Technology,2015(4):17-20. |
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| Authors: | GONG Qiang |
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| Institution: | GONG Qiang;Institute of Engineering Mechanics,China Earthquake Administration;Heilongjiang Survey Bureau of Non-ferrous Geology; |
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| Abstract: | Distributed computing is derived from parallel computing.Parallel computing is the process which simultaneously uses mul-tiple computing resources, executes multiple instructions and collaboratively solves large-scale computing problems.Distributed com-puting is to decompose a problem which is required huge computing power to solve into many small parts, then assign these parts to many computers to deal with, finally synthesize these calculation results and serve users with the final results.Using distributed com-puting work, its availability and system fault tolerance are obviously improved.Using distributed computing technology to break up the land cover image can improve the segmentation accuracy rate and the segmentation speed in geographic national conditions census.U-sing distributed computing method can better resolve data storage and documents processing of geographic national conditions, as well as the dynamic adjustment, protocols, application interface to access and many other service problems. |
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| Keywords: | geographic national conditions census cloud computing distributed computing application |
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