%0 Journal Article
%T A Study of Performance Optimization Method for Massive Spaito-temporal Data Based on Spatio-temporal Partition Clustering<br>基于时空分区聚簇的海量时空数据性能优化方法研究
%A XIE Jiong
%A LIU Ren-yi
%A LIU Nan
%A <br>谢炯
%A 刘仁义
%A 刘南
%J 中国图象图形学报
%D 2006
%I 
%X Integrative management of massive spatio-temporal data and the relevant capabilities for time series analysis are important research targets of new generation GIS software architecture.At present,access efficiency of spatial and spatio-temporal data based on seamless massive table mechanism needs solid improvement.For managing massive spatio-temporal data effectively and improving spatio-temporal search performance,partitioning and clustering method of large object-relational database platform are extended to spatio-temporal dimension,and performance optimization method for massive spaito-temporal data based on spatio-temporal partition clustering is presented,which is based on extended relational spatio-temporal data model.The search efficiency test on single table of 2GB to 60GB shows that STPC provides better spaito-temporal search performance(about 10.1%) than the normal data organization methods.
%K massive spatio-temporal data
%K spatio-temporal partition
%K spaito-temporal clustering
%K spatio-temporal partition clustering<br>海量时空数据
%K 时空分区
%K 时空聚簇
%K 时空分区聚簇
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=D94B9A2E38791879&yid=37904DC365DD7266&vid=708DD6B15D2464E8&iid=9CF7A0430CBB2DFD&sid=C0C56F7E9227DF7D&eid=2AF38D6ACB828704&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=7