Real-time scheduling based on imprecise computation for scalable streaming media system over the Internet

Kui Gao , Wen Gao , Simin He , Yuan Zhang
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引用次数: 4

Abstract

This paper proposes a performance metrics and a real-time scheduling algorithm based on imprecise computation workload model for delivery of scalable streaming media, which can be adapted to network status and QoS requirement over the best-effort Internet. The scheduling task of a scalable streaming media is partitioned into two subtasks: the mandatory subtask for the base layer and the optional subtask for the enhancement layers. The imprecise computation workload model and real-time scheduling algorithm provide scheduling flexibility by trading off video quality reconstructed in client to meet the playback deadline. Thus, the better usage of available bandwidth and smoother playback are achieved.

基于不精确计算的可扩展流媒体系统实时调度
本文提出了一种基于不精确计算负载模型的可扩展流媒体传输的性能度量和实时调度算法,该算法能够适应互联网上的网络状态和QoS要求。可扩展流媒体的调度任务分为两个子任务:基础层的必选子任务和增强层的可选子任务。不精确的计算工作量模型和实时调度算法通过权衡客户端重构的视频质量来满足播放期限,从而提供了调度灵活性。因此,可以更好地利用可用带宽并实现更平滑的播放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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