摘要
并行R树空间索引结构中叶节点的大小是影响索引效率的主要因素,其确定方法是并行R树索引结构性能优劣的关键。本文讨论并设计了一种多层并行R树空间索引结构,文中以系统的查询响应时间作为性能评估指标,给出了并行R树叶节点大小的确定方法,并通过实验验证了该方法的有效性和适用性,同时也论证了本文所设计的多层并行R树索引结构是合理的和高效的。
The size of leaf node of parallel R-tree spatial indexing is one of the important factors for the efficiency of spatial indexing, and the evaluation method will determine the stand or fall of the performance of parallel R-tree spatial indexing. The paper discusses and designs a multi-tiers parallel R-tree spatial indexing structure under the distributed parallel computing environment, and using the response time of system query as the performance evaluation factor, gives the method for evaluating the size of leaf-node of parallel R-tree spatial indexing, and the availability and the applicability of the evaluation method has been validated sufficiently by experimenting. Simultaneously, the experiment proves that the structure of parallel R-tree spatial indexing is rational and high-performance.
出处
《测绘科学》
CSCD
北大核心
2008年第4期94-97,共4页
Science of Surveying and Mapping
基金
科技部863项目(2001AA136010)
关键词
并行空间索引
并行R树空间索引
并行GIS
分布式并行计算环境
parallel spatial indexing
parallel R-tree spatial indexing
parallel GIS
distributed parallel computing environment