Name
Title | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-69832-8_6 | SIMULATION AND MODELING METHODOLOGIES, TECHNOLOGIES AND APPLICATIONS, SIMULTECH 2016 |
Keywords | Field | DocType |
Network traffic generator,Load generator,Machine learning,Online failure prediction. | Dynamic network analysis,Microsoft Windows,Software deployment,Computer science,Workload,Real-time computing,Prediction algorithms,Active directory,Deprecated,Distributed computing,Embedded system | Conference |
Volume | ISSN | Citations |
676 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul L. Jordan | 1 | 0 | 0.68 |
| Donald Van Patten | 2 | 0 | 0.34 |
| Gilbert L. Peterson | 3 | 251 | 38.75 |
| Andrew J. Sellers | 4 | 0 | 0.34 |