A Novel Proprietary Internet Video Traffic Dataset Generation Algorithm

• DOI: 10.3390/app15020515
• Publication Date: 2025-01-07T15:45:55Z
• Authors: Tianhua Chen; Elans Grabs; Aleksandrs Ipatovs; Maria-Dolores Cano
• Keywords: Interpretability; Benchmark (surveying)

Considering the exponential growth of network traffic, particularly driven by over-the-top (OTT) streaming applications, video category traffic constitutes a significant portion overall traffic. However, most research has focused on categorization and diversity using benchmark datasets, with limited attention paid to Additionally, there is lack proprietary Internet few datasets available often transparency interpretability. This paper introduces novel framework for generating addressing existing gaps in dataset quality consistency. We propose nYFTQC algorithm, which enables creation fifteen detailed specifically designed analysis. The proposed demonstrate superior performance metrics, including completeness, consistency, transparency. comprehensive approach enhances accuracy interpretability sample analysis, providing valuable resources future