基于动态索引和缓冲池的空间数据服务优化技术  

Spatial Data Service Optimizing Based on Dynamic Index and Buffer Pool

作　　者：李欢[1] 汤晓安[1] 孙茂印[1] 

机构地区：[1]国防科技大学电子科学与工程学院,长沙410073

出　　处：《系统仿真学报》2008年第20期5593-5595,5599,共4页Journal of System Simulation

基　　金：国家863高技术计划资助项目(2003AA134010)

摘　　要：以提高海量空间数据服务的性能为目标,针对数据访问行为和数据索引机制进行了研究,基于人的因素对于数据的影响,提出了非均匀空间访问概念、基于关注度的动态索引和缓冲池技术,设计实现了双索引运行模式,并结合实际数据进行了仿真验证。结果表明,该方法可有效提高数据命中速度和总体服务性能。Aiming at the performance advance of spatial data service,data accessing behavior and index scheme were researched. Based on the influence from human to data,a non-uniform data accessing conception,dynamic index and buffer pool basing on attention degree were put forward,and a double-index application pattern was designed. Emulational experiments with real data prove that the methods can improve the data indexing speed and total service performance efficiently.

关 键 词：空间数据服务 关注度 动态索引 缓冲池 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]