基于遗传神经网络的主机负载预测方法研究  

Research on Host Load Prediction Based on Genetic Neural Network

作　　者：陈荣征[1] 李广松[1] 

机构地区：[1]广东纺织职业技术学院信息工程系,广东佛山528041

出　　处：《计算机时代》2009年第10期12-13,17,共3页Computer Era

摘　　要：准确预测主机负载是实现高效动态负载均衡的关键,也是判断负载是否出现异常的重要依据。文章分析了采用时间序列方法进行主机负载预测的不足,提出了基于遗传神经网络的主机负载预测方法,建立了预测模型,并对模型进行了实验评估。Predicting host load accurately is the key to achieve efficient load balancing,and it is also an important basis for judging whether there are abnormalities. The defects of time series method to predict host load are analyzed. The prediction method based on genetic neural network to predict host load is proposed and the prediction model is established. Also experimental assessment for the model is carried out.

关 键 词：负载预测 时间序列 遗传神经网络 模型评估 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] U491.113[自动化与计算机技术—计算机科学与技术]