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Slice-and-patch - an algorithm to support VBR video streaming in a multicast-based video-on-demand system

机译:切片和修补程序 - 一种支持基于组播视频的视频流中VBR视频流的算法

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In recent years, a number of sophisticated architectures have been proposed to provide VoD service using multicast transmissions. Compared to their unicast counterparts, these multicast VoD systems are highly scalable and can potentially serve millions of concurrent users. Nevertheless, these systems are designed for streaming constant-bit-rate (CBR) encoded videos and thus cannot benefit from the improved visual quality obtainable from variable-bit-rate (CBR) encoding techniques. To tackle this challenge, this paper presents a novel Slice-and-Patch (S&P) algorithm to support VBR video streaming in a multicast VoD system. Extensive trace-driven simulations are conducted to compare performance of the S&P algorithm with two other algorithms based on priority scheduling. Results show that the S&P algorithm outperforms the other two priority scheduling algorithms for most videos. Compared to the CBR counterpart serving videos of the same average bitrate, the S&P algorithm is able to support VBR video streaming with only 50% increase in latency. Given that VBR-encoded video can achieve visual quality comparable to CBR-encoded video at half the bitrate, this S&P algorithm can potentially achieve perform comparable to CBR-based systems when combined with VBR encoding techniques.
机译:近年来,已经提出了许多复杂的架构来使用多播传输提供VOD服务。与他们的单播相比,这些组播VOD系统是高度可扩展的,并且可以为数百万并发用户提供服务。然而,这些系统被设计用于流常规比特率(CBR)编码视频,因此不能从可变比特率(CBR)编码技术中获得的改进的视觉质量受益。为了解决这一挑战,本文提出了一种新颖的切片和曲线(标准普尔)算法,用于支持多播VOD系统中的VBR视频流。进行广泛的跟踪模拟,以基于优先级调度与两个其他算法的S&P算法的性能进行比较。结果表明,标准普尔算法优于大多数视频的其他两个优先级调度算法。与相同平均比特率的视频视频的CBR对应者相比,S&P算法能够支持VBR视频流,只有50%的延迟增加。鉴于VBR编码的视频可以实现与CBR编码视频相当的比特率的可视质量,该S&P算法可以在与VBR编码技术结合时潜在地实现与基于CBR的系统相当的。

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