NetFlix and Twitch Traffic Characterization
Date
2015-09-30
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Abstract
Streaming video content is the largest contributor to inbound network traffic at the University of Calgary.
Over five months, from December 2014 - April 2015, over 2.7 petabytes of traffic on 49 billion connections was observed.
This thesis presents traffic characterizations for two large video streaming services, namely NetFlix and Twitch.
These two services contribute a significant portion of inbound bytes.
NetFlix provides TV series and movies on demand.
Twitch offers live streaming of video game play.
These services share many characteristics, including asymmetric connections, content delivery mechanisms, and content popularity patterns.
This thesis sheds light on the usage of modern video streaming services on an edge network.
It's one of only a few studies to utilize long-term network-level data.
To the best of our knowledge, it's one of the first studies that uses network-level data for Twitch traffic characterization, and content characterization for NetFlix and Twitch.
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Computer Science
Citation
Laterman, M. (2015). NetFlix and Twitch Traffic Characterization (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27074