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基于P2P的分布式矢量地理数据在线服务研究

Study on P2P-Based Distributed Vector Geo-Data Online Service
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摘要 研究P2P环境下矢量地理数据在线服务的关键技术,提出了一种基于Linking机制的矢量地理数据组织、分割及无损拓扑重建方法。通过将矢量要素各个层次的链接关系记录在Linking信息中,形成一种松散的分布式拓扑关系,并支持矢量数据无损重建。实验证明了该组织方式和相关算法的健壮性、高效性及完备性。 P2P technology offered a novel solution to spatial information online service and a good platform for sharing mass spatial data,it can avoid"single point of failure"and "hot spots bottleneck"problem,which exist in traditional centralized system of spatial information.P2P oriented raster geo-data online service has been widely applied,whereas vector geo-data online service still has many issues can′t be handled,such as vector geo-data organization pattern,segmentation,lossless reconstruction,etc.In this paper,the data organization of vector geo-data and distributed topology was especially researched deeply.The Hybrid Chord+Quadtree Indexing network was adopted to manage peers to improve query efficiency and realize load balancing.Key technology of P2P-oriented distributed vector geo-data online service was researched,and the pattern of vector geo-data organization based on Linking Mechanism,segmentation and lossless reconstruction were proposed in this research.This novel organization pattern recorded link relationship between all levels in the Linking information in tile in order to form a loosely distributed topology,and support lossless reconstruction.Tile was designed to be organized by"Tile-Geometry-LinkingNode"hierarchical model to form a distributed topology.Segmentation and lossless reconstruction method took advantage of linking information,to reconstruct the damaged Geometries.Comparative experiment shows that the organization and the associated algorithms to be robust,efficient and complete.
出处 《地理与地理信息科学》 CSSCI CSCD 北大核心 2010年第5期29-32,共4页 Geography and Geo-Information Science
基金 国家高技术研究发展计划(863计划)项目(2009AA12Z219 2007AA12Z207) 国家自然科学基金项目(40801149) 江苏省测绘科研项目(JSCHKY200810)
关键词 分布式GIS 矢量地理数据服务 Linking机制 拓扑 无损重建 distributed GIS vector geo-data services Linking Mechanism topology lossless reconstruction
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