2026-06-04T03:21:09Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/183412026-02-03T12:21:30Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Vaca-Rubio, Cristian J.
author
Gómez-Paredes, Gerardo
author
Aguayo-Torres, María del Carmen
author
López-Martínez, Francisco Javier
2019-09-13T07:39:59Z
2019-09-13T07:39:59Z
2019-09-13
https://hdl.handle.net/10630/18341
We present a statistical characterization of the segment size distribution of video streaming services based on dynamic adaptive streaming over HTTP (DASH). We first obtain the empirical distributions from traffic captures of available data sets encoded with different quality and segment size duration. Then, we determine the distributions that provide a better fit to the empirical data. We show that Weibull and truncated logistic distributions are adequate to modeling the chunk size distributions for a wide range of video qualities and segment size duration. Results are used to develop a source model for DASH traffic, implementing a synthetic generator of DASH-like video traces.
eng
Transmisión digital
Statistical Characterization of the Chunk Size Distribution in DASH
conference output
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URL
https://riuma.uma.es/bitstreams/ec8a27d4-4e8a-486f-b253-04fab44f76ee/download
File
MD5
a8d26bcb3c73efcfef61d65833b9abb6
350508
application/pdf
URSI-Cristian-Fin.pdf