首页> 外文会议>INFOCOM '94. Networking for Global Communications., 13th Proceedings IEEE >Video modeling within networks using deterministic smoothing at thesource
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Video modeling within networks using deterministic smoothing at thesource

机译:在网络中使用确定性平滑在网络内进行视频建模资源

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Video traffic is expected to become increasingly important withthe large scale deployment of broadband ISDN. In the literature, itsuggested that smoothing variable bit rate (VBR) video traffic beforetransmitting it onto the network would help reduce the probability ofpacket loss. The authors show why deterministic smoothing at the sourceapproximates the minimum achievable loss over the network end-to-end ofall possible smoothing schemes. Furthermore, they develop a powerful yetsimple analytical technique that can efficiently calculate the lossprobability at any point in a network carrying video traffic. Theyvalidate the analytical results using traces of actual video segments.The results can be used for admission control and traffic management.They find that in the case of highly correlated traffic such as video,the way to control loss is to ensure that the fraction of time thearrival process exceeds the service process is small
机译:预计视频流量将变得越来越重要 宽带ISDN的大规模部署。在文学中, 建议先对可变比特率(VBR)视频流量进行平滑处理 将其传输到网络上将有助于降低发生以下情况的可能性: 数据包丢失。作者证明了为什么从源头上进行确定性平滑 近似于网络端到端的最小可实现损耗 所有可能的平滑方案。此外,他们开发了强大而又强大的 简单的分析技术,可以有效地计算损失 网络中承载视频流量的任何点的概率。他们 使用实际视频片段的痕迹验证分析结果。 结果可用于准入控制和流量管理。 他们发现,在视频等高度相关的流量的情况下, 控制损失的方法是确保时间的百分比 到达过程超出服务过程的范围很小

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