A Novel Proprietary Internet Video Traffic Dataset Generation Algorithm

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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.

Arquitectura del algoritmo de generación de datasets de tráfico de vídeo en Internet
Figure from the original article. Source: Applied Sciences/MDPI, reproduced without modification under CC BY 4.0.

Authors: Tianhua Chen, Elans Grabs, Aleksandrs Ipatovs, Maria-Dolores Cano

Journal: Applied Sciences

DOI: 10.3390/app15020515

Funding: PID2023-148214OB-C21.

UPCT Repository: http://hdl.handle.net/10317/23390

Bibliometric indicators

JCR quartileQ2
Impact factor2.5
Google Scholar citations2
JCR area
Engineering, Multidisciplinary
JCR year
2024
Scholar query
21 May 2026

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.

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.

DOI Publisher UPCT Repository
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