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QoE感知的视频分发路径优化方法

Research on Video Distribution Strategy and Path Optimization for QoE Perception

中文摘要英文摘要

目前,视频流已成为当今网络流量的最大组成部分,随着互联网的快速发展并呈现爆炸性增长,加剧了网络拥塞,降低了网络性能。QoE感知视频分发和路径优化已成为当前视频网络性能优化的核心问题之一。针对这一问题,本文研究了QoE感知视频分发策略和路径优化方法。首先,基于用户感兴趣的视频对QoE模型进行改进,并验证其性能。其次,在内容分发网络(Content Delivery Network,CDN)中,基于改进的QoE模型指标设计视频分发策略,并使用k-means算法优化分发路径。最后,通过CDNsim仿真系统进行仿真实验。实验结果表明,本文提出的视频分发策略可以显著缩短服务器的响应时间,将命中率提高6%-10%,从而提高用户体验质量。

With the rapid development of the Internet, the continuous upgrading of the network infrastructure, a large amount of online video, making the Internet bear more and more pressure. Compared with the traditional network architecture, the Content Delivery Network (CDN) can improve the utilization of network bandwidth resources, especially the network bandwidth resources of the Backbone Network, improve the quality of network transmission, and can effectively reduce the load of the source server and improve the user\'s Quality of Experience (QoE). In this paper, we make QoE model improvements based on videos of interest to users, and propose a video distribution strategy for improved QoE model. Finally, the path of the distribution strategy is further optimized. We used the CDNsim simulation system to perform simulation experiments and verify the performance of the distribution strategy. The experimental results show that the video distribution strategy proposed in this paper has low response time and high hit rate, which makes QoE higher.

荣辉桂、张娜

通信电视电子技术应用

用户体验质量(QoE)内容分发网络(CDN)Nsim节点选择算法

Quality of ExperienceContent Delivery NetworkCDNsimNode selection algorithm

荣辉桂,张娜.QoE感知的视频分发路径优化方法[EB/OL].(2019-04-02)[2025-07-16].http://www.paper.edu.cn/releasepaper/content/201904-36.点此复制

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