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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-一种在基于组播的视频点播系统中支持VBR视频流的算法

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摘要

In recent years, a number of sophisticated architectures have been proposed to provide video-on-demand (VoD) service using multicast transmissions. Compared with 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 (VBR) encoding techniques. To tackle this problem, 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 were conducted to compare the 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 with the CBR counterpart serving videos of the same average bitrate, the S&P algorithm is able to support VBR video streaming with an increase in latency of only 50%. Given that VBR-encoded video can achieve visual quality comparable to that of CBR-encoded video at half the bitrate, this S&P algorithm can potentially achieve performance comparable to that of CBR-based systems when combined with VBR encoding techniques.
机译:近年来,已经提出了许多复杂的体系结构以使用多播传输来提供视频点播(VoD)服务。与单播同类产品相比,这些多播VoD系统具有高度的可扩展性,并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式传输恒定比特率(CBR)编码的视频,因此不能从可变比特率(VBR)编码技术获得的改进的视觉质量中受益。为了解决这个问题,本文提出了一种新颖的切片和修补(S&P)算法,以在组播VoD系统中支持VBR视频流。进行了广泛的跟踪驱动模拟,以比较S&P算法与其他两种基于优先级调度的算法的性能。结果表明,对于大多数视频,标准普尔算法优于其他两种优先级调度算法。与提供相同平均比特率的CBR对应视频相比,S&P算法能够支持VBR视频流传输,而延迟仅增加了50%。鉴于VBR编码的视频可以以一半的比特率获得与CBR编码的视频相当的视觉质量,因此,与VBR编码技术结合使用时,此S&P算法可以潜在地获得与基于CBR的系统相当的性能。

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