Software Aging and Multifractality of Memory Resources

@inproceedings{Shereshevsky2003SoftwareAA,
  title={Software Aging and Multifractality of Memory Resources},
  author={Mark Shereshevsky and Jonathan Crowell and Bojan Cukic and Vijai Gandikota and Yan Liu},
  booktitle={DSN},
  year={2003}
}
We investigate the dynamics of monitored memory resource utilizations in an operating system under stress using quantitative methods of fractal analysis. In the experiments, we recorded the time series representing various memory related parameters of the operating system. We observed that parameters demonstrate clear multifractal behavior. The degree of fractality of these time series tends to increase as the system workload increases. We conjecture that the Hölder exponent that measures the… CONTINUE READING

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References

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SHOWING 1-10 OF 25 REFERENCES

Goševa-Popstojanova. Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule

  • K. K. Trivedi T. Dohi
  • Proceedings of the Pacific Rim International…
  • 2000
1 Excerpt

A methodology for detection and estimation of software aging

  • A. Van Moorsel
  • Proceedings of the 9th International Symposium on…
  • 1998
1 Excerpt

Modulation and fractal models for speech analysis and recognition

  • Petros Maragos
  • Proceedings of COST-249 Meeting,
  • 1998
1 Excerpt

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