Project publication · Applied Sciences
Summary
The article presents an algorithm for generating proprietary Internet video traffic datasets, with greater control over traceability and data interpretation.
Main contribution
The proposal addresses the shortage of transparent datasets for analyzing video traffic. By generating data in a controlled way, it facilitates the evaluation of traffic-classification models and tools.
Resultados y alcance
El algoritmo genera tráfico de vídeo propietario con patrones controlables y etiquetas útiles para entrenar y comparar clasificadores. La validación reproduce características temporales y volumétricas relevantes, aunque la representatividad queda vinculada a las aplicaciones y condiciones utilizadas para construir los perfiles.
Link with BoND1
BoND1 includes the analysis of networks and services over advanced connectivity infrastructures. Understanding and characterizing video traffic helps design more robust management mechanisms for IoT and B6G networks with heterogeneous demands.
Project publication Applied Sciences
Summary
The article presents an algorithm to generate proprietary datasets of video traffic on the Internet, with greater control over traceability and interpretation of the data.
Bibliometric indicators
- JCR area
- Engineering, Multidisciplinary
- JCR year
- 2025
- Scholar query
- 26 October 2026
Main contribution
The proposal responds to the scarcity of transparent data sets to analyze video traffic. By generating data in a controlled way, it facilitates the evaluation of traffic classification models and tools.
Results and scope
The algorithm generates proprietary video traffic with controllable patterns and labels useful for training and comparing classifiers. Validation reproduces relevant temporal and volumetric characteristics, although representativeness is linked to the applications and conditions used to build the profiles.
Link with BoND1
BoND1 includes the analysis of networks and services on advanced connectivity infrastructures. Understanding and characterizing video traffic helps design more robust management mechanisms for IoT and B6G networks with heterogeneous demands.