Abstract
To fully utilize the resources with soft real-time video-on-demand servers, statistical admission control is widely used. There have been several models to capture the nature of bit rate variability of the video data. However, when the video server employs caching, the resulting workload exhibits different characteristics. In this paper, we present a probabilistic model to analyze the video server workload. Our model enables the quantitative analysis of the disk load reduction induced by caching so that the caching effect can be reflected in the admission control. Using this model, it is possible to design a statistical admission control which provides a probabilistic guarantee for the jitter free playback.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2000 ACM Symposium on Applied Computing, SAC 2000 |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery |
| Pages | 579-584 |
| Number of pages | 6 |
| Volume | 2 |
| ISBN (Print) | 1581132409, 9781581132403 |
| DOIs | |
| Publication status | Published - 2000 |
| Externally published | Yes |
| Event | 2000 ACM Symposium on Applied Computing, SAC 2000 - Como, Italy Duration: 19 Mar 2000 → 21 Mar 2000 |
Other
| Other | 2000 ACM Symposium on Applied Computing, SAC 2000 |
|---|---|
| Country/Territory | Italy |
| City | Como |
| Period | 19/03/00 → 21/03/00 |
Keywords
- Admission control
- Caching
- Video-on-Demand