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基于遗传神经网络的主机负载预测方法研究
引用本文:陈荣征,李广松.基于遗传神经网络的主机负载预测方法研究[J].计算机时代,2009(10):12-13,17.
作者姓名:陈荣征  李广松
作者单位:广东纺织职业技术学院信息工程系,广东,佛山,528041
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。

关 键 词:负载预测  时间序列  遗传神经网络  模型评估

Research on Host Load Prediction Based on Genetic Neural Network
CHEN Rong-zheng,LI Guang-song.Research on Host Load Prediction Based on Genetic Neural Network[J].Computer Era,2009(10):12-13,17.
Authors:CHEN Rong-zheng  LI Guang-song
Affiliation:(Dept. of Information Engineering, Guangdong Institute of Textile Technology, Foshan, Guangdong 528041, China)
Abstract: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.
Keywords:load prediction  time series  genetic neural network  model evaluation
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