Optimizing Hidden Markov Model for Failure Prediction– Comparison of Gaine’s optimization and Minimum message length Estimator

Abstract

Computer systems are prone to failures. Failures are caused by faults that occur in a system. As faults are unknown and cannot be measured, they produce error messages on their detection. The approach presented here is to create a Hidden Markov Model from the given data of error sequence and describes two techniques, Gaines algorithm and Minimum message… (More)

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Cite this paper

@inproceedings{Muthumani2011OptimizingHM, title={Optimizing Hidden Markov Model for Failure Prediction– Comparison of Gaine’s optimization and Minimum message length Estimator}, author={N. Muthumani and Antony Selvadass Thanamani}, year={2011} }