分布式空间数据服务两级检索方法研究

发布时间：2018-08-22 19:46

【摘要】：针对当前分布式多尺度空间数据服务检索效率较低,无法满足集成应用需求的问题,该文提出一种基于两级空间索引结构的分布式多尺度空间数据索引方法,即以空间网格索引为基础,结合空间数据服务元数据管理,实现了空间数据服务及其空间对象的索引。在检索过程中,先通过一级索引检索出目标空间数据服务,再使用二级索引在目标服务内检索出目标数据对象。对二级索引结构和基于服务注册的检索效率的对比测试表明,该方法的效率优于服务注册方法,且随服务数量的增加,效率优势更显著;对单个服务的数据量对二级索引性能的影响进行测试,发现单个数据服务随着数据对象的增加,二级索引的检索时间逐渐增加,但总体检索时间基本可以满足多数应用需求。
[Abstract]:In order to solve the problem that the retrieval efficiency of distributed multi-scale spatial data service is low and unable to meet the needs of integrated applications, this paper proposes a distributed multi-scale spatial data indexing method based on two-level spatial index structure. Based on spatial grid index and metadata management of spatial data service, the index of spatial data service and its spatial objects is realized. In the retrieval process, the target spatial data service is first retrieved through the first-level index, and then the target data object is retrieved within the target service by using the second-level index. A comparative test of the secondary index structure and the retrieval efficiency based on service registration shows that the efficiency of this method is better than that of the service registration method, and with the increase of the number of services, the efficiency advantage is more significant. The effect of the data amount of a single service on the performance of the secondary index is tested. It is found that the retrieval time of the secondary index increases with the increase of the data object, but the total retrieval time can basically meet the needs of most applications.
【作者单位】：北京林业大学信息学院;国家农业信息化工程技术研究中心;农业部农业信息技术重点实验室;北京市农业物联网工程技术研究中心;
【基金】：国家科技支撑计划课题(2013BAJ05B01)
【分类号】：P208

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