IP网络上视频传输路径分析与建模的原型工具

Ming Yang, N. Bourbakis
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引用次数: 8

摘要

在最佳努力的IP网络中,数据包的延迟/丢失不可避免地降低了实时多媒体业务的感知质量,如IP语音(VoIP)、视频点播(VoD)等。流量轨迹的建模、原型化和分析一直是多媒体通信领域中非常重要和具有挑战性的课题。一般来说,丢包/延迟表现出时间依赖性。不同的原型工具,如伯努利模型、吉尔伯特模型、扩展吉尔伯特模型、马尔可夫模型等,已被提出建模网络轨迹。本研究设置一个视频点播服务器和三个客户端来模拟一个真实的视频点播系统。采用不同的模型对RTP/UDP/IP协议栈下获得的视频传输网络轨迹进行分析和建模。与其他工具相比,马尔可夫模型在损失运行分布和前向纠错(FEC)性能预测方面提供了最好的原型精度。马尔可夫模型作为一种功能强大的快速原型工具,对网络轨迹的建模和分析以及进一步提高ip上多媒体的服务质量非常有用
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A Prototyping Tool for Analysis and Modeling of Video Transmission Traces over IP Networks
In the best-effort IP network, packet delay/loss is inevitably degrade the perceptual quality of real-time multimedia service, such as Voice-over-IP (VoIP), video-on-demand (VoD), etc. Modeling, prototyping, and analysis of traffic traces have always been very important and challenging topics in the area of multimedia communication. In general, packet loss/delay exhibits temporal dependence. Different prototyping tools, such as Bernoulli model, Gilbert model, Extended Gilbert model, Markov model, etc, have been proposed to model network trace. In this research, one VoD server and three clients have been setup to simulate a real VoD system. Different models have been applied to analyze and model the video transmission network traces obtained under RTP/UDP/IP protocol stack. Compared to the other tools, Markov model offers the best prototyping precision, in the sense of loss-run distribution and forward error correction (FEC) performance prediction. As a powerful fast prototyping tool, Markov model is very useful to model and analyze network traces and further improve the QoS in multimedia-over-IP
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