@article{10.1145/3488375,
author = {Adeleke, Oluwamayowa Ade and Bastin, Nicholas and Gurkan, Deniz},
title = {Network Traffic Generation: A Survey and Methodology},
year = {2022},
issue_date = {February 2023},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {55},
number = {2},
issn = {0360-0300},
url = {https://doi.org/10.1145/3488375},
doi = {10.1145/3488375},
abstract = {Network traffic workloads are widely utilized in applied research to verify correctness and to measure the impact of novel algorithms, protocols, and network functions. We provide a comprehensive survey of traffic generators referenced by researchers over the last 13 years, providing in-depth classification of the functional behaviors of the most frequently cited generators. These classifications are then used as a critical component of a methodology presented to aid in the selection of generators derived from the workload requirements of future research.},
journal = {ACM Comput. Surv.},
month = jan,
articleno = {28},
numpages = {23},
keywords = {Network, packet, traffic, workload, generator, experiment, survey, analysis}
}