Paper Info
Title
Software Aging Prediction Model Based on Fuzzy Wavelet Network with Adaptive Genetic Algorithm
Abstract
According to the characteristics of the operational behavior and runtime state of application sever, the resource consumption time series are observed and modeled by fuzzy wavelet network (FWN) with fuzzy logic inference and learning capability. The objective is to model the extracted data series of systematic performance parameters to predict software aging in application server. The dimensionality of input variables of FWN is reduced by principal components analysis (PCA), and the structure and parameters of FWN are optimized with adaptive genetic algorithm (GA). Judging by the model, we can get the aging threshold before application server failed and preventively maintenance 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 FWN with adaptive genetic algorithm is superior to the neural network (NN) model and wavelet network (WN) model in the aspects of convergence rate and prediction precision
Year
DOI
Venue
2006
10.1109/ICTAI.2006.104
ICTAI
Keywords
Field
DocType
neural network,data series,neural network model,wavelet network,fuzzy reasoning,software aging prediction model,learning (artificial intelligence),application server,software maintenance,fuzzy logic,fuzzy wavelet network,resource consumption time series,systems analysis,genetic algorithms,fuzzy logic inference,prediction precision,wavelet network model,principal component analysis,prediction model,adaptive genetic algorithm,convergence rate,time series,preventive maintenance,learning artificial intelligence
Data mining,Computer science,Fuzzy logic,Curse of dimensionality,Artificial intelligence,Software aging,Artificial neural network,Machine learning,Principal component analysis,Genetic algorithm,Wavelet,Application server
Conference
ISSN
ISBN
Citations 
1082-3409
0-7695-2728-0
6
PageRank 
References 
Authors
0.61
8
5
Name
Order
Citations
PageRank
Meng Hai Ning1102.38
Yong Qi261059.72
Hou Di3183.91
Chen Ying481.31
Ji-zhong Zhao594469.40