QoS control strategies for high-quality video processing

被引:11
作者
Wüst, CC [1 ]
Steffens, L [1 ]
Bril, RJ [1 ]
Verhaegh, WFJ [1 ]
机构
[1] Philips Res Labs, NL-5656 AA Eindhoven, Netherlands
来源
16TH EUROMICRO CONFERENCE ON REAL-TIME SYSTEMS, PROCEEDINGS | 2004年
关键词
soft real time; overload; multimedia; Quality of Service;
D O I
10.1109/EMRTS.2004.1310990
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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 off line 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.
引用
收藏
页码:3 / 12
页数:10
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