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Keynote Paper: Parametric Uncertainty Propagation through Dependability Models

Publication ,  Conference
Okamura, H; Dohi, T; Trivedi, K
Published in: Proceedings - 8th Latin-American Symposium on Dependable Computing, LADC 2018
July 2, 2018

The uncertainty propagation is to investigate the effect of errors in model input parameters on the system output measure in probability models. In this paper, we present a moment-based approach of the uncertainty propagation of model input parameters. The presented approach requires only the fist two moments of model parameters, and has an advantage in terms of computation over the closed-form, numerical and sampling-based approaches for uncertainty propagation. The paper presents the properties of moment-based approach by comparing the existing Bayes estimation for the uncertainty propagation in a simple reliability model. An availability model of a server with virtual machines is used to illustrate the applicability of our method in practical problems.

Duke Scholars

Published In

Proceedings - 8th Latin-American Symposium on Dependable Computing, LADC 2018

DOI

ISBN

9781538684894

Publication Date

July 2, 2018

Start / End Page

10 / 18
 

Citation

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Okamura, H., Dohi, T., & Trivedi, K. (2018). Keynote Paper: Parametric Uncertainty Propagation through Dependability Models. In Proceedings - 8th Latin-American Symposium on Dependable Computing, LADC 2018 (pp. 10–18). https://doi.org/10.1109/LADC.2018.00011
Okamura, H., T. Dohi, and K. Trivedi. “Keynote Paper: Parametric Uncertainty Propagation through Dependability Models.” In Proceedings - 8th Latin-American Symposium on Dependable Computing, LADC 2018, 10–18, 2018. https://doi.org/10.1109/LADC.2018.00011.
Okamura H, Dohi T, Trivedi K. Keynote Paper: Parametric Uncertainty Propagation through Dependability Models. In: Proceedings - 8th Latin-American Symposium on Dependable Computing, LADC 2018. 2018. p. 10–8.
Okamura, H., et al. “Keynote Paper: Parametric Uncertainty Propagation through Dependability Models.” Proceedings - 8th Latin-American Symposium on Dependable Computing, LADC 2018, 2018, pp. 10–18. Scopus, doi:10.1109/LADC.2018.00011.
Okamura H, Dohi T, Trivedi K. Keynote Paper: Parametric Uncertainty Propagation through Dependability Models. Proceedings - 8th Latin-American Symposium on Dependable Computing, LADC 2018. 2018. p. 10–18.

Published In

Proceedings - 8th Latin-American Symposium on Dependable Computing, LADC 2018

DOI

ISBN

9781538684894

Publication Date

July 2, 2018

Start / End Page

10 / 18