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well-know and largely used infra-structure and have no changes in the stack
protocol. Despite all these research efforts, enforcing video availability in large
peer-assisted VoD systems remains a challenging issue.
2.2 On the Track of YouTube Popularity Growth Curves
and High Quality Videos
A fair reproduction of user interactions to Internet videos is essential to evaluate
peer-assisted VoD systems properly. Hence, we study in this work a workload
that combines YouTube traces [ 14 ] to well-known videos' access patterns [ 33 ].
We are particularly interested in reproducing realistic popularity growth curves,
considering advanced coding setting and common VoD demand patterns.
We study the data crawled by Figueiredo et al. [ 14 ], whose datasets are cur-
rently available online 3 . The dataset allows us to characterize the growth pat-
terns of YouTube videos. In particular, they analysed three types of YouTube
videos sets: videos that appear on YouTube top list, videos that were banned
from YouTube due to copyrights violations, and videos that were randomly
selected through API calls. They crawled once a number of videos' daily fea-
tures. For each video, there are up to 100 daily measurements, or daily available
samples, per feature. In this work, we are mostly interested in the measurements
of view data feature, that depicts the popularity growth curve of a video through
a array of cumulative number of daily views ranging from 0 to the total number
of views.
In order to reproduce realistic, high quality videos encodings, we consider the
YouTube advanced encoding settings 4 . Table 1 depicts the set of high definition
(HD) video encodings that we use in this work.
Table 1. Advanced encoding settings for YouTube videos used in this work.
Type Video bitrate Mono audio bitrate Stereo audio bitrate 5.1 Audio bitrate
1080p 50 Mbps
128 kbps
384 kbps
512 kbps
720p
30 Mbps
128 kbps
384 kbps
512 kbps
480p
15 Mbps
128 kbps
384 kbps
512 kbps
360p
5 Mbps
128 kbps
384 kbps
512 kbps
2.3
Investigating Network Resources Provision for Internet Videos
Replication schemes have become an important building block for Internet video
providers to improve content availability and meet consumers' expectations. An
3 The Tube over Time: Characterizing Popularity Growth of YouTube Videos. http://
www.vod.dcc.ufmg.br/traces/youtime/data/ , January 2013.
4 Advanced encoding settings for YouTube videos. http://support.google.com/
youtube/bin/answer.py?hl=en-GB&answer=1722171 , June 2014.
 
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