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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Al Tamimi, A.K. Jain, R. Chakchai So-In |
| Copyright Year | 2010 |
| Description | Author affiliation: Dept. of Computer Science and Engineering, Washington University in St. Louis, USA (Al Tamimi, A.K.; Jain, R.; Chakchai So-In) |
| Abstract | High definition video streams are gaining larger shares of the Internet usage for typical users on daily basis. This is an expected result of the current boom in the online standard and high definition (HD) video streaming services such as YouTube and Hulu. Because of these video streams' unique statistical characteristics and their high bandwidth requirements, they are considered to be a continuous challenge in both network scheduling and resource allocation fields. In this paper we provide a statistical analysis of over 50 high definition video traces that resembles wide varieties of high definition video traffic workloads. We performed both factor and cluster analysis on our collection of video traces to support a better understanding of video stream workload characteristics and their impact on network traffic. Additionally, we compare and evaluate different modeling approaches for high definition videos traces. |
| Starting Page | 596 |
| Ending Page | 601 |
| File Size | 893133 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424474912 |
| ISSN | 1945788X |
| e-ISBN | 9781424474936 |
| DOI | 10.1109/ICME.2010.5583026 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-19 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Autoregressive processes High definition video Streaming media Mathematical model Encoding Correlation Analytical models Communication Networks Workload Characterization Factor Analysis Video Clustering Multimedia Communications |
| Content Type | Text |
| Resource Type | Article |
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