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首页> 外文期刊>IEEE Journal on Selected Areas in Communications >Performance evaluation of 10Base-T and 100Base-T Ethernets carrying multimedia traffic
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Performance evaluation of 10Base-T and 100Base-T Ethernets carrying multimedia traffic

机译:承载多媒体流量的10Base-T和100Base-T以太网的性能评估

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摘要

The performance of 10Base-T and 100Base-T Ethernet segments carrying audio/video traffic is presented. End-to-end delay requirements suitable for a wide range of multimedia applications are considered (ranging from 20-500 ms). Given the specific nature of the network considered and the maximum latency requirement, some data is lost. Data loss at the receiver causes quality degradations in the displayed video in the form of discontinuities, referred to as glitches. We define various quantities characterizing the glitches, namely, the total amount of information lost in glitches, their duration, and the rate at which glitches occur. We study these quantities for various network and traffic scenarios, using a computer simulation model driven by real video traffic generated by encoding video sequences. We also determine the maximum number of video streams that can be supported for given maximum delay requirement and glitch rate. We consider various types of video contents (video conferencing, motion pictures, commercials), two encoding schemes (H.261 and MPEG-1), and two encoder control schemes [constant bit rate (CBR) and constant-quality variable bit rate (CQ-VBR)] and compare their results. Furthermore, we consider scenarios with mixtures of video and data traffic (with various degrees of burstiness), and determine the effect of one traffic type over the other.
机译:介绍了承载音频/视频流量的10Base-T和100Base-T以太网网段的性能。考虑了适用于多种多媒体应用的端到端延迟要求(范围为20-500 ms)。考虑到所考虑的网络的特定性质和最大延迟要求,某些数据将丢失。接收器处的数据丢失会以不连续的形式(称为毛刺)导致所显示视频的质量下降。我们定义了各种特征来表征故障,即故障中丢失的信息总量,持续时间以及故障发生的速率。我们使用计算机仿真模型研究各种网络和流量情况下的这些数量,该模型由对视频序列进行编码生成的实际视频流量驱动。我们还确定了在给定的最大延迟要求和毛刺率下可以支持的视频流的最大数量。我们考虑各种类型的视频内容(视频会议,电影,商业广告),两种编码方案(H.261和MPEG-1)以及两种编码器控制方案[恒定比特率(CBR)和恒定质量可变比特率( CQ-VBR)]并比较其结果。此外,我们考虑了视频和数据流量混合(具有不同程度的突发性)的场景,并确定了一种流量类型对另一种流量类型的影响。

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