Multilayer feedforward networks are universal approximators
Neural Networks
Queueing networks and Markov chains: modeling and performance evaluation with computer science applications
Fundamentals of Artificial Neural Networks
Fundamentals of Artificial Neural Networks
Pinpoint: Problem Determination in Large, Dynamic Internet Services
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
Software Rejuvenation: Analysis, Module and Applications
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
Software Aging Prediction Model Based on Fuzzy Wavelet Network with Adaptive Genetic Algorithm
ICTAI '06 Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence
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This paper investigates the use of Artificial Neural Networks (ANN) to mine and predict patterns in software aging phenomenon. We analyze resource usage data collected on a typical long-running software system: a web server. A Multi-Layer Perceptron feed forward Artificial Neural Network was trained on an Apache web server dataset to predict future server swap space and physical free memory resource exhaustion through ANN univariate time series forecasting and ANN nonlinear multivariate time series empirical modeling. The results were benchmarked against those obtained from non-parametric statistical techniques, parametric time series models and other empirical modeling techniques reported in the literature.