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On Providing Reliability Guarantees in Live Video Streaming with Collaborative Clients

机译:与合作客户在实时视频流中提供可靠性保证

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摘要

Although many overlay and P2P approaches have been proposed to assist large-scale live video streaming, how to ensure service quality and reliability still remains a challenging issue. Peer dynamics, especially unscheduled node departures, affect the perceived video quality at a peer node in two ways. In particular, the amplitude of quality fluctuations and the duration for which stable quality video is available at a node heavily depend on the nature of peer departures in the system. In this paper, we first propose a service quality model to quantify the quality and stability of a video stream in a P2P streaming environment. Based on this model, we further develop tree construction algorithms that ensure that every peer in the collaborative network receives a video stream with a statistical reliability guarantee on quality. A key advantage of the proposed approach is that we can now explicitly control the quality and stability of the video stream supplied to every node. This is the fundamental difference of our approach from existing approaches that provide stream stability by over-provisioning resources allocated to every peer. Also, the proposed tree construction schemes decide the position of a node in the delivery tree based on both its estimated reliability and upstream bandwidth contribution while striving to minimize the overall load on the server. Our simulations show that our algorithms use the server resources very efficiently while significantly improving the video stability at peers.
机译:尽管已经提出了许多覆盖和P2P方法来辅助大规模的实时视频流传输,但是如何确保服务质量和可靠性仍然是一个具有挑战性的问题。对等动态,尤其是计划外的节点偏离,以两种方式影响对等节点的感知视频质量。特别是,质量波动的幅度和在节点上可获得稳定质量视频的持续时间在很大程度上取决于系统中对等方偏离的性质。在本文中,我们首先提出一种服务质量模型,以量化P2P流环境中视频流的质量和稳定性。在此模型的基础上,我们进一步开发了树构建算法,以确保协作网络中的每个对等方都收到具有质量统计可靠性保证的视频流。提出的方法的主要优势在于,我们现在可以显式控制提供给每个节点的视频流的质量和稳定性。这是我们的方法与现有方法的根本区别,现有方法通过过量分配分配给每个对等方的资源来提供流稳定性。同样,提出的树构建方案基于节点的估计可靠性和上游带宽贡献来确定节点在交付树中的位置,同时努力使服务器上的总负载最小化。我们的仿真表明,我们的算法非常有效地使用了服务器资源,同时大大提高了对等端的视频稳定性。

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