CiC: EAGER: CCollaborative: GIS Vector Data Overlay Processing on Azure Platform

CiC：EAGER：CCollaborative：Azure 平台上的 GIS 矢量数据叠加处理

• 批准号: 1048200
• 负责人: Sushil Prasad
• 金额: $ 20万
• 依托单位: Georgia State University Research Foundation, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1048200&HistoricalAwards=false
• 关键词: CiC; EAGER; CCollaborative; GIS; Vector

This collaborative project is focused on GIS vector-based spatial data overlay processing through cloud computing. Vector-based processing is considerably more complicated than raster data processing because raster data is based on regular grid-based fixed-size pixels, while vector features have irregular geometric shapes represented by a list of large number of vertices. GIS data files can be very large-scale huge and as such, computational requirements are significant. Cloud platforms such as Azure are appropriate for large-scale computing and storage capabilities. These capabilities combined with accessibility on-demand and other features have made cloud processing very desirable for GIS applications. This exploratory research will attempt to discover distributed algorithms and test their scalable implementations for GIS overlay processing on the Azure platform.

该合作项目的重点是通过云计算进行GIS矢量空间数据叠加处理。 基于矢量的处理比栅格数据处理复杂得多，因为栅格数据基于规则的基于网格的固定大小的像素，而矢量特征具有由大量顶点的列表表示的不规则几何形状。 GIS数据文件可以是非常大规模的巨大的，因此，计算需求是显着的。 Azure等云平台适合大规模计算和存储功能。 这些功能与按需访问和其他功能相结合，使得云处理对于GIS应用程序非常理想。 这项探索性研究将尝试发现分布式算法，并测试其在Azure平台上用于GIS叠加处理的可扩展实现。