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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qudah, B. Sarhan, N.J. |
| Copyright Year | 1991 |
| Abstract | The required real-time and high-rate transfers for multimedia data severely limit the number of video streams that can be delivered concurrently. Resource-sharing techniques address this problem and can be classified into two main classes: stream merging and periodic broadcasting. We evaluate through extensive simulation major resource-sharing techniques from the two classes, considering different service models and video workloads. We utilize this extensive analysis in developing a workload-aware hybrid solution (WAHS) that combines the advantages of the best performers among resource-sharing techniques. Moreover, we propose a statistical cache management (SCM) approach and derive analytical models for optimal cache allocation to reduce further the demands on the disk I/O when various resource sharing techniques are used. |
| Sponsorship | IEEE Circuits and Systems Society |
| Starting Page | 386 |
| Ending Page | 396 |
| Page Count | 11 |
| File Size | 1400636 |
| File Format | |
| ISSN | 10518215 |
| Volume Number | 19 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Resource management Streaming media Merging Broadcasting Bandwidth Video sharing Multimedia communication Performance analysis Analytical models video streaming Cache management performance evaluation periodic broadcasting resource sharing stream merging video-on-demand (VOD) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Media Technology |
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