空间数据访问规律的动态统计算法  

Dynamic Statistical Algorithm of Spatial Data Access Laws

作　　者：潘少明[1] 徐正全[1] 刘小俊[1] 

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号430079

出　　处：《武汉大学学报（信息科学版）》2013年第6期734-736,741,共4页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金资助项目(41271398);国家973计划资助项目(2011CB302306)

摘　　要：根据日志信息得到的静态访问分布,不能真实反映系统当前的访问特征,而大规模分布式节点环境下,简单的复制和分发将带来不可承载的网络流量。为此,提出一种基于P2P的海量空间数据访问分布动态统计融合算法。通过节点映射和优选算法,充分利用节点闲置资源,优先选择服务能力"好"的节点进行统计信息的融合。实验表明,该算法能满足大规模节点下空间数据访问分布的动态融合要求,且效率较高。The tile access has dynamic features（server peer capability, storage device and hot tiles have dynamic features） and the Hotmap model based on the historical log information can not reflect the real system＇s current global information. Reproduction and distribution will produce a huge net- work flow rate in a large scale distributed nodes environment. A dynamic statistics algorithm for the distribution rule of the spatial data based on P2P is proposed to resolve above-mentioned problems. The service capabilities of the service nodes are calculated in this algorithm. The node agents with good service capabilities are chosen preferentially in the group to fuse dynamic statistical infor- mation. The experimental results show that the algorithm can meet the need of dynamic sta- tistics in large scale distributed modes environment with high efficiency.

关 键 词：空间数据 访问规律 动态统计 全局 P2P 

分 类 号：P208[天文地球—地图制图学与地理信息工程]