Quantifying Machine Availability in Networked and Desktop Grid Systems

@inproceedings{Brevik2003QuantifyingMA,
  title={Quantifying Machine Availability in Networked and Desktop Grid Systems},
  author={John Brevik and Daniel Nurmi and Richard Wolski},
  year={2003}
}
  • John Brevik, Daniel Nurmi, Richard Wolski
  • Published 2003
In this paper, we examine the problem of predicting machine availability in desktop and enterprise computing environments. Predicting the duration that a machine will run until it restarts (availability duration) is critically useful to application scheduling and resource characterization in federated systems. We describe one parametric model fitting technique and two non-parametric prediction techniques, comparing their accuracy in predicting the quantiles of empirically observed machine… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 30 CITATIONS

Flexible resource allocation for reliable virtual cluster computing systems

  • 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
  • 2011
VIEW 7 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Using queue structures to improve job reliability

VIEW 10 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Governance of Cloud-hosted Web Applications

VIEW 2 EXCERPTS
CITES METHODS & BACKGROUND

Failure Data Analysis of HPC Systems

  • ArXiv
  • 2013
VIEW 1 EXCERPT
CITES BACKGROUND

Modeling and tolerating heterogeneous failures in large parallel systems

  • 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
  • 2011
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 19 REFERENCES

A longitudinal survey of Internet host reliability

  • Proceedings. 14th Symposium on Reliable Distributed Systems
  • 1995
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Experiences with predicting resource performance on-line in computational grid settings

  • SIGMETRICS Performance Evaluation Review
  • 2003
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Adaptive Computing on the Grid Using AppLeS

  • IEEE Trans. Parallel Distrib. Syst.
  • 2003
VIEW 1 EXCERPT