Using Hidden Semi-Markov Models for Effective Online Failure Prediction

@article{Salfner2007UsingHS,
  title={Using Hidden Semi-Markov Models for Effective Online Failure Prediction},
  author={Felix Salfner and Miroslaw Malek},
  journal={2007 26th IEEE International Symposium on Reliable Distributed Systems (SRDS 2007)},
  year={2007},
  pages={161-174}
}
A proactive handling of faults requires that the risk of upcoming failures is continuously assessed. One of the promising approaches is online failure prediction, which means that the current state of the system is evaluated in order to predict the occurrence of failures in the near future. More specifically, we focus on methods that use event-driven sources such as errors. We use hidden semi-Markov models (HSMMs)for this purpose and demonstrate effectiveness based on field data of a commercial… CONTINUE READING
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