基于SDN架构改善家庭网络视频流

R. M. Abuteir, A. Fladenmuller, Olivier Fourmaux
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引用次数: 18

摘要

如今,网络视频是占主导地位的网络流量。DASH是一种自适应视频流技术,用于通过HTTP实现高质量的视频传输。在家庭网络中,多个视频流将竞争带宽,从而导致性能差并影响接收到的体验质量。本文介绍了一种在不修改客户端播放器和视频服务器的情况下,在家庭网络网关解决这一问题的新技术。我们设计的框架NAVS(网络辅助视频流)依赖于软件定义网络(SDN)的部署。NAVS基于采集的网络流量统计数据和视频流监控进行动态流量整形。NAVS实时为每个视频流动态分配带宽。NAVS方案已经通过几个指标进行了评估:带宽利用率,播放器的不稳定性以及客户端收到的平均视频质量。我们的结果表明,所有这些参数的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SDN Based Architecture to Improve Video Streaming in Home Networks
Nowadays, Internet video is the dominant internet traffic. DASH is an adaptive video streaming technique introduced to enable high quality video delivery over HTTP. In home networks, multiple video streams will compete for bandwidth, thus leading to poor performance and impacting the received quality of experience. In this paper we introduce a new technique to address this issue at the home network gateway without modifying neither the client player nor the video server. We design our framework NAVS (Network Assisted Video Streaming) relies on the deployment of Software Defined Networking (SDN). NAVS performs a dynamic traffic shaping based on the collected network traffic statistics and monitoring of video flows. NAVS dynamically allocates bandwidth for each video flow in real time. NAVS scheme has been evaluated over several metrics: bandwidth utilization, instability of players as well as the average video quality received by the clients. Our results demonstrate an improvement for all these parameters.
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