Network Traffic Generation: A Survey and Methodology
Oluwamayowa Ade Adeleke, Nicholas Bastin, Deniz Gurkan
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.
Topics & Concepts
Computer scienceWorkloadCorrectnessMeasure (data warehouse)Component (thermodynamics)Selection (genetic algorithm)Traffic generation modelData miningArtificial intelligenceComputer networkAlgorithmOperating systemThermodynamicsPhysicsNetwork Traffic and Congestion ControlNetwork Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting