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一种基于网格优化的空间数据访问与存储研究 被引量:4

A Geospatial Data Access and Storage Solution Based on Grid Optimization
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摘要 目前,由于用户、WPS服务器和数据资源总是分布在多个地点,在广域网环境(WAN)下通过传统的超文本传输协议、网络文件系统协议和文件传送协议访问和存储GIS地理空间数据往往会遇到等待时间较长、效果不佳等问题。为了获得类似本地访问的性能,在优化算法的基础上开发了基于WAN/网格优化的Grid Jet协议作为WPS服务器和客户端间的底层引擎,该协议通过采用远程文件并行访问等技术对软件使用方式不做任何改变。最终,对上述协议算法利用现实世界中的Py WPS和Google Earth进行仿真测试和分析,对超过10 000 km的发布/存档距离,基于Grid Jet协议的Py WPS和Google Earth性能比基于传统协议时的性能高出2~8倍。 As the users,WPS servers,and data resources are always distributed across different locations,,the problems such as long latency time and and frustration occur in wide area network(WAN) environments when accessing and archiving geospatial data from a GIS survey via conventional Hypertext Transport Protocol,Network File System Protocol,and File Transfer Protocol.To provide a"local-like"performance,a WAN/grid-optimized protocol known as"Grid Jet"developed at our lab is used as the underlying engine between WPS servers and clients,which utilizes serveral technologies including paralleling the remote le access.No change in the way of using software is required since the multi-streamed Grid Jet protocol remains fully compatible with the existing IP infrastructures.The simulation test and analysis results show that the performances of Py WPS and Google Earth based on Grid Jet protocol improve by a factor of two to eight compared with that based on conventional protocols for the distribution / archiving distance of over 10 000 km.
作者 杨毅
出处 《无线电通信技术》 2014年第6期43-46,共4页 Radio Communications Technology
基金 2013年四川省高等教育教改研究立项课题(2013SCJG219)
关键词 批量数据传输 数据存档 地理数据集 网格计算 Web处理服务 Bulk data transfer data archiving geodata set grid computing Web Processing Service(WPS)
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参考文献12

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