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

Paul Jordan, Chip Van Patten, Gilbert Peterson, Andrew Sellers

2016

Abstract

Recently, a framework has been developed to automate the training of prediction algorithms but has only been tested on one system. In order to generalize the approach a few key functions must be performed. One of these functions is load generation. Unfortunately, a valid load generator has not been developed for a Microsoft Windows active directory environment. In this paper we introduce and detail a tool that we have developed to make the implementation of this new framework possible in a Microsoft domain, we present data generated by our tool to demonstrate its efficacy, and finish with several extensions and applications for our tool.

Download


Paper Citation


in Harvard Style

Jordan P., Van Patten C., Peterson G. and Sellers A. (2016). Distributed PowerShell Load Generator (D-PLG): A New Tool for Dynamically Generating Network Traffic . In Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-199-1, pages 195-202. DOI: 10.5220/0005961501950202

in Bibtex Style

@conference{simultech16,
author={Paul Jordan and Chip Van Patten and Gilbert Peterson and Andrew Sellers},
title={Distributed PowerShell Load Generator (D-PLG): A New Tool for Dynamically Generating Network Traffic},
booktitle={Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2016},
pages={195-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005961501950202},
isbn={978-989-758-199-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Distributed PowerShell Load Generator (D-PLG): A New Tool for Dynamically Generating Network Traffic
SN - 978-989-758-199-1
AU - Jordan P.
AU - Van Patten C.
AU - Peterson G.
AU - Sellers A.
PY - 2016
SP - 195
EP - 202
DO - 10.5220/0005961501950202