Abstract
Obtaining data for the training of failure prediction algorithms has long been an issue. A framework for automating the generation of this data for the training and deployment of these algorithms has recently been introduced. Unfortunately, the framework was only tested on a single deprecated operating system. In order to generalize the approach a few key functions must be performed, one of which being realistic workload generation. Unfortunately, a workload generator capable of generating sufficient workload has not been developed for a Microsoft Windows active directory environment. This paper introduces a tool that makes the implementation of this new framework possible on a modern Microsoft operating system. We present data generated by the tool to demonstrate its efficacy, and finish with several extensions and applications.
The views expressed herein are solely those of the authors and do not reflect the official policy or position of the U.S. Air Force, the Department of Defense, or the U.S. Government.
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Acknowledgements
This work was supported by the U.S. National Security Agency, National Information Assurance Education and Training Program (Alice Shafer and Glenn Ellisonn, Program Managers).
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Jordan, P., Van Patten, D., Peterson, G., Sellers, A. (2018). Distributed PowerShell Load Generator (D-PLG): A Tool for Generating Dynamic Network Traffic. In: Obaidat, M., Ören, T., Merkuryev, Y. (eds) Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2016. Advances in Intelligent Systems and Computing, vol 676. Springer, Cham. https://doi.org/10.1007/978-3-319-69832-8_6
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DOI: https://doi.org/10.1007/978-3-319-69832-8_6
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