DocumentCode :
2631847
Title :
Prediction of performance anomalies in web-applications based-on software aging scenarios
Author :
Magalhaes, Joao Paulo ; Silva, Luis Moura
Author_Institution :
CIICESI, Porto Polytech. Inst., Felgueiras, Portugal
fYear :
2010
fDate :
2-2 Nov. 2010
Firstpage :
1
Lastpage :
7
Abstract :
The topic of this paper is about prediction of performance anomalies caused by software aging. We have developed a framework for detection of performance anomalies that is targeted to web and component-based applications. In this study, we selected some amount of historical data previously collected and we conducted a correlation analysis with this data. The resulting dataset was then submitted to some Machine-Learning (ML) classification algorithms. The best algorithms were selected according to the accuracy and precision. In a second step, we induced some synthetic aging scenarios (memory leaks and CPU contention) in the application and we tried to do estimation of the system parameters by using time-series analysis. With the estimated values we conducted a classification with the three previous ML algorithms. From the initial results we observed that combining the estimation of parameters supported by time-series models with ML classification techniques provides some good results on the prediction of performance anomalies. We also observed that there is no single ML algorithm that can be applied effectively to predict the response time for all the web-transactions.
Keywords :
Internet; learning (artificial intelligence); object-oriented programming; security of data; software performance evaluation; time series; component-based applications; correlation analysis; machine-learning classification algorithms; performance anomalies; software aging; time-series analysis; web-applications; Aging; Algorithm design and analysis; Correlation; Estimation; Prediction algorithms; Software; Software algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Aging and Rejuvenation (WoSAR), 2010 IEEE Second International Workshop on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-61284-344-5
Type :
conf
DOI :
10.1109/WOSAR.2010.5722095
Filename :
5722095
Link To Document :
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