NetFlix and Twitch Traffic Characterization
| atmire.migration.oldid | 3694 | |
| dc.contributor.advisor | Williamson, Carey | |
| dc.contributor.advisor | Arlitt, Martin | |
| dc.contributor.author | Laterman, Michel | |
| dc.date.accessioned | 2015-09-30T16:44:08Z | |
| dc.date.available | 2015-11-20T08:00:43Z | |
| dc.date.issued | 2015-09-30 | |
| dc.date.submitted | 2015 | en |
| dc.description.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. | en_US |
| dc.identifier.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 | en_US |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/27074 | |
| dc.identifier.uri | http://hdl.handle.net/11023/2562 | |
| dc.language.iso | eng | |
| dc.publisher.faculty | Graduate Studies | |
| dc.publisher.institution | University of Calgary | en |
| dc.publisher.place | Calgary | en |
| dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | |
| dc.subject | Computer Science | |
| dc.subject.classification | Network | en_US |
| dc.subject.classification | measurement | en_US |
| dc.subject.classification | NetFlix | en_US |
| dc.subject.classification | Twitch | en_US |
| dc.subject.classification | video-streaming | en_US |
| dc.subject.classification | DASH | en_US |
| dc.title | NetFlix and Twitch Traffic Characterization | |
| dc.type | master thesis | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | University of Calgary | |
| thesis.degree.name | Master of Science (MSc) | |
| ucalgary.item.requestcopy | true |