Distributed PowerShell Load Generator (D-PLG): A Tool for Generating Dynamic Network Traffic

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.