Study on application server aging prediction based on wavelet network with hybrid genetic algorithm

被引：0
|
作者：
Ning, Meng Hai [1 ]
Yong, Qi [1 ]
Di, Hou [1 ]
Liang, Liu [2 ]
Hui, He [1 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China
[2] IBM China Res Lab, Beijing, Peoples R China
来源：
PARALLEL AND DISTRIBUTED PROCESSING AND APPLICATIONS | 2006年 / 4330卷
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Software aging is an important factor that affects the software reliability. According to the characteristic of performance parameters of application sever middleware, a new model for software aging prediction based on wavelet networks is proposed. The structure and parameters of wavelet network are optimized by hybridization of genetic algorithm and simulated annealing algorithm. The objective is to observe and model the existing resource usage time series of application server middleware to predict accurately future unknown resource usage value. Judging by the model, we can get the aging threshold before application server fails and rejuvenate the application server before systematic parameter value reaches the threshold. The experiments are carried out to validate the efficiency of the proposed model, and show that the aging prediction model based on wavelet network with hybrid genetic algorithm is superior to the neural network model and wavelet network model in the aspects of convergence rate and prediction precision.
引用
收藏
页码：573 / +
页数：2
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