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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wust, C.C. Steffens, L. Bril, R.J. Verhaegh, W.F.J. |
| Copyright Year | 2004 |
| Description | Author affiliation: Philips Res. Labs., Eindhoven, Netherlands (Wust, C.C.; Steffens, L.; Bril, R.J.; Verhaegh, W.F.J.) |
| Abstract | Video processing in software is often characterized by highly fluctuating, content-dependent processing times, and a limited tolerance for deadline misses. We present an approach that allows close-to-average-case resource allocation to a single video processing task, based on asynchronous, scalable processing, and QoS adaptation. The QoS adaptation balances different QoS parameters that can be tuned by user-perception experiments: picture quality, deadline misses, and quality changes. We model the balancing problem as a discrete stochastic decision problem, and propose two closely related solution strategies, for which the processing-time statistics are determined offline and at run time, respectively. We enhance both strategies with a compensation for structural (non-stochastic) load fluctuations. Finally, we validate our approach by means of simulation experiments, and conclude that both enhanced strategies perform close to the theoretical optimum. |
| Sponsorship | Euromicro |
| Starting Page | 3 |
| Ending Page | 12 |
| File Size | 410537 |
| Page Count | 10 |
| File Format | |
| ISBN | 0769521762 |
| ISSN | 10683070 |
| DOI | 10.1109/EMRTS.2004.1310990 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-07-02 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Quality of service Fluctuations Stochastic processes Decoding Resource management Delay Laboratories Statistics Codecs Motion estimation |
| Content Type | Text |
| Resource Type | Article |
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