Video traffic modeling is very important to the research of video traffic in the network with statistical properties.
视频流量建模对于研究具有特定统计特性的视频流在网络中的传输具有重要意义。
Modeling video traffic is an important prerequisite for any network performance simulating, but it is very difficult to build an uniform model for video traffic since video contents are variable.
视频业务流量模型是网络性能仿真的一个重要前置环节，但由于视频内容的千差万别，使得很难建立统一的视频业务流量模型。
The simulation results on modeling of MPEG-compressed video traffic demonstrate that TES models are able to characterize the burstiness of network traffic streams.
对MPEG视频业务的建模的仿真结果表明，TES模型能够很好地表征网络业务流的突发性。
For the frequently scene switching video traffic, it USES Markovian to simulate the switching among the scenes, and USES self-regression model to modeling inside the scene.
针对具有频繁场景切换的视频流，用马尔可夫链来模拟视频场景之间的切换，场景内部用自回归模型来建模。
For the frequently scene switching video traffic, it USES Markovian to simulate the switching among the scenes, and USES self-regression model to modeling inside the scene.
针对具有频繁场景切换的视频流，用马尔可夫链来模拟视频场景之间的切换，场景内部用自回归模型来建模。
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