Network Traffic Generation: A Survey and Methodology-Reference-Cited by-同舟云学术

Network Traffic Generation: A Survey and Methodology

Published:2022-01-18 Issue:2 Volume:55 Page:1-23
ISSN:0360-0300
Container-title:ACM Computing Surveys
language:en
Short-container-title:ACM Comput. Surv.

Author:

Adeleke Oluwamayowa Ade¹,Bastin Nicholas¹,Gurkan Deniz¹^ORCID

Affiliation:

1. University of Houston, Houston, Texas

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.

Funder

National Science Foundation (NSF) Division of Computer and Network Systems

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3488375

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