Statistical modeling of videostreaming traffic in a virtualized mobile network using open source software platforms

Authors

DOI:

https://doi.org/10.15665/rp.v23i2.3705

Keywords:

CDF, emerging technologies, mobile network, PDF, statistical characterization, videostreaming

Abstract

5G technology allows deploying mobile networks through Free and Open Source Software (FOSS) platforms, capable of supporting large volumes of information, mainly generated by videostreaming, which represents more than 75% of the traffic. This paper analyzes the statistical behavior of video traffic in a virtualized mobile network, using the Probability Density Function (PDF) and the Cumulative Distribution Function (CDF), obtained by characterizing the actual video traffic consumed in a virtualized mobile network. The methodology comprises three phases: in the first, the experimental scenario is implemented and configured; in the second, real traffic traces with H.264 and H.265 encodings are captured and processed; and in the third, goodness-of-fit tests are performed to identify the PDF and CDF that describe the traffic behavior. As results, the audio and video transfer rate curves, as well as the PDFs and CDFs of the Group of Pictures (GOP) frame components are presented. In addition, the experimental scenario and a comparison of the computational resource consumption for each encoding are included. The importance of these technologies for traffic characterization.

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Published

2025-08-22

Issue

Vol. 23 No. 2 (2025): Julio - Diciembre

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Articles

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Copyright (c) 2025 Santiago Martinez Ardila, Claudia Tatiana Arcila-Pineda, Wilmar Yesid Campo-Muñoz, David Alejandro Monedero Ortiz

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