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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Torres, R. Finamore, A. Jin Ryong Kim Mellia, M. Munafo, M.M. Rao, Sanjay |
| Copyright Year | 2011 |
| Abstract | In this paper, we conduct a detailed study of the YouTube CDN with a view to understanding the mechanisms and policies used to determine which data centers users download video from. Our analysis is conducted using week-long datasets simultaneously collected from the edge of five networks - two university campuses and three ISP networks - located in three different countries. We employ state-of-the-art delay-based geolocation techniques to find the geographical location of YouTube servers. A unique aspect of our work is that we perform our analysis on groups of related YouTube flows. This enables us to infer key aspects of the system design that would be difficult to glean by considering individual flows in isolation. Our results reveal that while the RTT between users and data centers plays a role in the video server selection process, a variety of other factors may influence this selection including load-balancing, diurnal effects, variations across DNS servers within a network, limited availability of rarely accessed video, and the need to alleviate hot-spots that may arise due to popular video content. |
| Starting Page | 248 |
| Ending Page | 257 |
| File Size | 443556 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781612843841 |
| ISSN | 10636927 |
| DOI | 10.1109/ICDCS.2011.43 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-20 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Servers YouTube IP networks Google Europe Geology Internet internet services Content distribution networks Web |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Hardware and Architecture Software |
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