Network Traffic Generation: A Survey and Methodology

被引：26
作者：
Adeleke, Oluwamayowa Ade [1 ]
Bastin, Nicholas [1 ]
Gurkan, Deniz [1 ]
机构：
[1] Univ Houston, 4730 Calhoun Rd, Houston, TX 77204 USA
来源：
ACM COMPUTING SURVEYS | 2023年 / 55卷 / 02期
基金：
美国国家科学基金会;
关键词：
Network; packet; traffic; workload; generator; experiment; survey; analysis;
D O I：
10.1145/3488375
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
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页数：23
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