网格空间数据库副本优化算法比较与仿真试验

The Research on Copies Optimization Algorithm of Grid Spatial Database

首先对网格空间数据库的几个副本优化算法,即中心站点读取空间数据文件算法、有删除的算法、预测文件价值的算法等进行了描述;其次对副本优化算法进行了作业量分别为500、1000、2000、5000的仿真试验,结果表明预测文件价值的算法为最优算法,能为网格空间数据库的建设奠定良好的基础,并为网格技术在空间数据库的应用提供可靠的依据.

First,several copies optimization algorithms such as the algorithm of central site reads space data files,the algorithm with deletion and the algorithm of forecasting files are described in the article.Second,the copies optimization algorithms with capacity of 500,1000,2000,5000 are tested.The results show that the algorithm of forecasting files value is the best one,which can lay a good foundation for the construction of grid spatial database and provide a reliable basis for the application of grid technology in the spatial database.