在分布式結(jié)構(gòu)環(huán)境中，Web GIS 在互聯(lián)網(wǎng)上的負(fù)載變得日益擁擠，且這種現(xiàn)象是動(dòng)
態(tài)發(fā)生的。要使Web 空間數(shù)據(jù)挖掘能正常工作，首先要解決負(fù)載平衡。結(jié)合智能Agent 在分布式領(lǐng)域的應(yīng)用的有利特性，提出了一個(gè)基于智能Agen 的Web 空間數(shù)據(jù)挖掘中有效負(fù)載均衡模型模型。實(shí)踐證明該模型能夠有效的提高查詢速度和保持全局網(wǎng)絡(luò)負(fù)載的良好性能。
關(guān)鍵字：Web 空間數(shù)據(jù)挖掘，GIS，負(fù)載均衡

A New Framework Of Effective Loading-Balancing Niuhonghui 1,Chenweijun 1,Shangyanling2 1（Anyang Normal University， henan an’yang 455000 ，China ) 2（College f Computer Beijing University of Technology, Beijing 100124 China)） Abstract: :In the structure of the distributed environment, the load of Web GIS on the Internet is becoming increasingly crowded, and the dynamics of this phenomenon is occurring,.To make room for Web spatial data mining to work, first of all to solve the load balancing. DistributedIntelligent Agent in combination in the field of application of the beneficial properties, we proposed a hybrid model framework. The experiment proved that this framework is effective on improving the inquiry speed and maintaining a good network-load performance.
Key words: Web Spatial Data Mining GIS Loading-Balancing