面向互联网视频流量的qos感知跨层架构

Safeen Qadir, A. Kist, Zhongwei Zhang
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引用次数: 7

摘要

视频应用和视频设备的出现极大地促进了互联网视频流量的增长。推荐视频速率调整的新机制,以提供增强的体验质量(QoE),同时为更多的会话腾出空间。本文介绍了一种面向Internet视频流量的跨层qos感知架构。提出应用层视频源通过动态控制传输比特率来适应网络环境;网络层的网络边缘通过视频感知的接纳控制来控制新会话的接受,从而保护活动视频会话的质量。特别是,它将寻求最有效的方式来接受新的视频会话和调整传输速率,以便在保持活动会话的QoE的同时为更多会话释放资源。拟议的框架将有助于为可预见的未来视频流量的急剧增长做好准备。仿真结果表明,与纯速率自适应结构相比,所提出的跨层结构保证了被接纳会话的QoE,并且更有效地利用了链路。
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QoE-aware cross-layer architecture for video traffic over Internet
The emergence of video applications and video capable devices have contributed substantially to the increase of video traffic on Internet. New mechanisms recommending video rate adaptation towards delivering enhanced Quality of Experience (QoE) at the same time making room for more sessions. This paper introduces a cross-layer QoE-aware architecture for video traffic over the Internet. It proposes that video sources at the application layer adapt their rate to the network environment by controlling their transmitted bit rate dynamically; and the edge of network at the network layer protects the quality of the active video sessions by controlling the acceptance of new session through a video-aware admission control. In particular, it will seek the most efficient way of accepting new video session and adapting transmission rates to free up resources for more session while maintaining the QoE of active sessions. The proposed framework will contribute to the preparation for the extreme growth of video traffic in the foreseeable future. Simulation results show that the proposed cross-layer architecture guarantees the QoE for the admitted sessions and utilizes the link more efficiently comparing to the rate adaptation only architecture.
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