Dynamic syslog mining for network failure monitoring

@inproceedings{Yamanishi2005DynamicSM,
  title={Dynamic syslog mining for network failure monitoring},
  author={Kenji Yamanishi and Yuko Maruyama},
  booktitle={KDD},
  year={2005}
}
Syslog monitoring technologies have recently received vast attentions in the areas of network management and network monitoring. They are used to address a wide range of important issues including network failure symptom detection and event correlation discovery. Syslogs are intrinsically dynamic in the sense that they form a time series and that their behavior may change over time. This paper proposes a new methodology of dynamic syslog mining in order to detect failure symptoms with higher… CONTINUE READING
Highly Cited
This paper has 170 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 110 extracted citations

170 Citations

01020'08'11'14'17
Citations per Year
Semantic Scholar estimates that this publication has 170 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-3 of 3 references

A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains

  • L. E. Baum, T. Petrie, G. Soules, N. Weiss
  • The Annals of Statistics,
  • 1970
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…