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Integration of Quantification of Margins and Uncertainties Methodology into Parallel Discrete Event Simulator Framework

James Leek | 18-ERD-025

Executive Summary

Our goal is to improve event simulation models of highly complex, real-world systems, such as computer networks and orbital debris, by incorporating the ability to quantify uncertainties into a numerical simulation framework. This will enable scientists to determine a degree of confidence in the simulation-based predictions that support national efforts in cyber- and space security.

Publications, Presentations, Etc.

Leek, J. 2019. "Application of Uncertainty Quantification to Discrete Event Simulations."LLNL-PRES-761682.

Quinlan, K., et al. 2019. "Uncertainty Quantification for Parallel Discrete Event Simulation." LLNL-POST-773060.

––– . 2019. "Uncertainty Quantification for Parallel Discrete Event Simulation." LLNL-PRES-781760.

Tong, C. and J. Leek. 2019. "Uncertainty Quantification for Discrete Event Simulations." LLNL-PRES-761621.