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YouTube Traffic Content Analysis in the Perspective of Clip Category and Duration

Li, Jie; Wang, Hantao; Aurelius, Andreas; Du, Manxing LU ; Arvidsson, Åke and Kihl, Maria LU (2013) Fourth International Conference on Network of the Future (NoF'13) In [Host publication title missing]
Abstract
In this work, we study YouTube traffic characteristics in a medium-sized Swedish residential municipal network that has 2600 mainly FTTH broadband-connected households. YouTube traffic analyses were carried out in the perspective of video clip category and duration, in order to understand their impact on the potential local network caching gains. To the best of our knowledge, this is the first time systematic analysis of YouTube traffic content in the perspective of video clip category and duration in a residential broadband network. Our results show that the requested YouTube video clips from the end users in the studied network were imbalanced in regarding the video categories and durations. The dominating video category was Music, both... (More)
In this work, we study YouTube traffic characteristics in a medium-sized Swedish residential municipal network that has 2600 mainly FTTH broadband-connected households. YouTube traffic analyses were carried out in the perspective of video clip category and duration, in order to understand their impact on the potential local network caching gains. To the best of our knowledge, this is the first time systematic analysis of YouTube traffic content in the perspective of video clip category and duration in a residential broadband network. Our results show that the requested YouTube video clips from the end users in the studied network were imbalanced in regarding the video categories and durations. The dominating video category was Music, both in terms of the total traffic share as well as the contribution to the overall potential local network caching gain. In addition, most of the requested video clips were between 2-5 min in duration, despite video clips with durations over 15 min were also popular among certain video categories, e.g. film videos. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
[Host publication title missing]
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
Fourth International Conference on Network of the Future (NoF'13)
external identifiers
  • Scopus:84894117768
project
EIT_EFRAIM Eco system for future media distribution
LCCC
language
English
LU publication?
yes
id
56bc43da-507c-4893-acd5-2d02eaf7eccb (old id 3957522)
date added to LUP
2013-08-05 13:38:04
date last changed
2016-10-13 04:42:28
@misc{56bc43da-507c-4893-acd5-2d02eaf7eccb,
  abstract     = {In this work, we study YouTube traffic characteristics in a medium-sized Swedish residential municipal network that has 2600 mainly FTTH broadband-connected households. YouTube traffic analyses were carried out in the perspective of video clip category and duration, in order to understand their impact on the potential local network caching gains. To the best of our knowledge, this is the first time systematic analysis of YouTube traffic content in the perspective of video clip category and duration in a residential broadband network. Our results show that the requested YouTube video clips from the end users in the studied network were imbalanced in regarding the video categories and durations. The dominating video category was Music, both in terms of the total traffic share as well as the contribution to the overall potential local network caching gain. In addition, most of the requested video clips were between 2-5 min in duration, despite video clips with durations over 15 min were also popular among certain video categories, e.g. film videos.},
  author       = {Li, Jie and Wang, Hantao and Aurelius, Andreas and Du, Manxing and Arvidsson, Åke and Kihl, Maria},
  language     = {eng},
  publisher    = {ARRAY(0x9a07388)},
  series       = {[Host publication title missing]},
  title        = {YouTube Traffic Content Analysis in the Perspective of Clip Category and Duration},
  year         = {2013},
}