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QoE-aware Bandwidth Allocation for Multiple Video Streaming Players over HTTP and SDN

机译:HTTP和SDN上多个视频流播放器的QoE感知带宽分配

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摘要

For many years, the most popular technique for Internet video streaming is hypertext transfer protocol-based adaptive streaming, known as HAS (HTTP Adaptive Streaming). However, a seamless viewing experience can not be just simply guaranteed by HAS only. In the management network, the adaptation of HAS copes with a huge challenge since client- driven schemes lead to unfair share of available bandwidth when multiple players request adaptive bitrates (i.e bandwidth) through a bottleneck network link. Each client’s requesting to maximize its needed bandwidth leads to the competition of network resources. This causes great QoE (Quality of Experience) reduction in terms of main metrics for each player: fairness, efficiency, and stability. In this paper, we propose an integration scheme of bitrate adaptation and Software Defined Networking-based resource allocation that can improve the QoE of competing clients. Our experiments show that the proposed scheme increases at least 20% up to 124% in terms of QoE scores compared with some existing methods as well as gains smoother viewing experience than the solutions of the traditional Internet.
机译:多年来,互联网视频流最流行的技术是基于超文本传输​​协议的自适应流,称为具有(HTTP自动流)。但是,只有只能保证无缝观看体验。在管理网络中,当多个播放器通过瓶颈网络链路请求自适应比特率(即带宽)时,由于客户驱动的方案导致可用带宽的不公平份额,因此对具有巨大挑战的调整具有巨大挑战。每个客户都要求最大化其所需的带宽导致网络资源的竞争。这导致QoE(经验质量)降低了每个玩家的主要指标:公平,效率和稳定性。在本文中,我们提出了比特率适应和软件定义的基于网络的资源分配的集成方案,可以改善竞争客户端的QoE。我们的实验表明,与一些现有方法相比,该方案在QoE分数方面增加了至少20%,最高124%,以及比传统互联网的解决方案更平滑的观看经验。

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