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| Content Provider | ACM Digital Library |
|---|---|
| Author | Yu, Hongliang Zhao, Ben Y. Zheng, Weimin Zheng, Dongdong |
| Abstract | Video-on-demand over IP (VOD) is one of the best-known examples of "next-generation" Internet applications cited as a goal by networking and multimedia researchers. Without empirical data, researchers have generally relied on simulated models to drive their design and developmental efforts. In this paper, we present one of the first measurement studies of a large VOD system, using data covering 219 days and more than 150,000 users in a VOD system deployed by China Telecom. Our study focuses on user behavior, content access patterns, and their implications on the design of multimedia streaming systems. Our results also show that when used to model the user-arrival rate, the traditional Poisson model is conservative and overestimates the probability of large arrival groups. We introduce a modified Poisson distribution that more accurately models our observations. We also observe a surprising result, that video session lengths has a weak inverse correlation with the video's popularity. Finally, we gain better understanding of the sources of video popularity through analysis of a number of internal and external factors. |
| Starting Page | 333 |
| Ending Page | 344 |
| Page Count | 12 |
| File Format | |
| ISSN | 01635980 |
| DOI | 10.1145/1218063.1217968 |
| Journal | ACM SIGOPS Operating Systems Review (OPSR) |
| Volume Number | 40 |
| Issue Number | 4 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1975-04-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Video-on-demand Poisson distribution Modeling User behavior |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Hardware and Architecture Information Systems |
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