数据挖掘技术在网络负载均衡中的思考

企业信息化已成为企业在全球化竞争时代的生存之道。而信息化的基础在于一个完善高速的网络架构,并在这个架构上做到网络负载均衡。针对目前网络架构现状,从数据挖掘的角度提出一种负载均衡的方法,基于数据点对网络流量进行聚类,形成聚类数据。将这些聚类按时间序列预测其负载强度,使整个系统负载均衡。实验与分析结果表明了该方法的有效性。

Thinking of Data Mining Technology in the Network Load Balancing

Enterprise information technology has become the means for companies to survive in the era of global competition.The information is based on a complete and high-speed network architecture,which can enable the network to load balancing.According to the current condition of network architecture,a method of loading balancing is raised from the perspective of data mining.This method is based on clustering the network traffic,and then form the clustering data.By making these clustering to predict the load intensity in time series,the whole system will load balancing.Experimental and analytical results show that the method is effective.