Longitudinal Analysis of Major Video Streaming Services in the US
| dc.contributor.advisor | Rejaie, Reza | |
| dc.contributor.author | Hooshmand, Donna | |
| dc.contributor.author | Hooshmand, Donna | |
| dc.contributor.author | Rejaie, Reza | |
| dc.date.accessioned | 2020-08-11T17:28:15Z | |
| dc.date.available | 2020-08-11T17:28:15Z | |
| dc.date.issued | 2020 | |
| dc.description | Project files are comprised of 1 page pdf and presentation recording in mp4 format. | |
| dc.description.abstract | This study relies on several years of NETFLOW data for exchanged traffic between the University of Oregon network (UOnet) and the Internet to perform a longitudinal analysis on the characteristics of popular Internet Applications. We develop techniques to identify connections related to video streams from their NETFLOW records. We then investigate how the fraction of UOnet traffic associated with (i.e. popularity of) major video streaming applications (e.g. YoutTube, Netflix, Amazon Prime), the basic characteristics of their video (e.g. bandwidth and duration) and their delivery mechanism have evolved over the past few years. Our empirical findings will offer valuable insights into important practical aspects of video streams services and their evolution over time. | en_US |
| dc.description.sponsorship | NSF-REU | |
| dc.format.mimetype | video/mp4 | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.orcid | https://orcid.org/0000-0001-9980-4786 | |
| dc.identifier.uri | https://hdl.handle.net/1794/25469 | |
| dc.language.iso | en_US | |
| dc.publisher | University of Oregon | |
| dc.rights | Creative Commons CC0 | |
| dc.subject | data analysis | en_US |
| dc.subject | video streaming | en_US |
| dc.subject | computer science | en_US |
| dc.subject | internet | en_US |
| dc.subject | networking | en_US |
| dc.title | Longitudinal Analysis of Major Video Streaming Services in the US | |
| dc.type | Presentation |