Deriving Parameters for Open and Closed QN Models of Operational Systems Through Black Box Optimization

@inproceedings{Awad2017DerivingPF,
  title={Deriving Parameters for Open and Closed QN Models of Operational Systems Through Black Box Optimization},
  author={Mahmoud Awad and Daniel A. Menasc{\'e}},
  booktitle={ICPE},
  year={2017}
}
Black-box modeling techniques are used when modeling computer systems with unknown internal structure or behavior and/or when it is not feasible or too time consuming to monitor a running computer system. The main challenge in these situations lies in estimating values for the parameters of these models, especially the values of service demands at the various devices for each transaction class. These estimates have to be compliant with the input-output relationships observed through… CONTINUE READING

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Key Quantitative Results

  • The experimental results show how parameterizing the model at lower load levels (20% CPU utilization) can be used to predict the system’s performance at higher load levels within 5% error in resource utilization and 20% error in mean response time.

Citations

Publications citing this paper.
SHOWING 1-4 OF 4 CITATIONS

Continuous Performance Testing in Virtual Time

  • 2019 IEEE International Conference on Software Architecture Companion (ICSA-C)
  • 2019
VIEW 1 EXCERPT
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Moving Horizon Estimation of Service Demands in Queuing Networks

  • 2018 IEEE 26th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)
  • 2018
VIEW 1 EXCERPT
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References

Publications referenced by this paper.
SHOWING 1-3 OF 3 REFERENCES

A Proof for the Queuing Formula: L = λ W

J.D.C. Little
  • Operations Research. 9 (3), 1961, pp 383–387.
  • 1961
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL