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Why buffers in switching systems do not essentially improve QoS: An analytical case study for On-Off source traffic

机译:为什么交换系统中的缓冲区没有基本上改善QoS:用于开关源业务的分析案例研究

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Traffic models with a rate varying according to a Gaussian distribution are commonly used to evaluate statistical multiplexing in telecommunication systems. The superposition of a sufficient large number of homogeneous Markovian On-Off sources asymptotically approaches an Ornstein-Uhlenbeck process (OUP) which represents a Gaussian process with exponential autocorrelation function. We derive a simple expression for the bandwidth demand under QoS constraints which is close to numerical OUP/D/1 analysis results over the entire parameter region with relevance to applications. In comparison, results of the fluid flow method for fixed aggregation level are used to verify the OUP/D/1 asymptotics and to estimate its accuracy depending on the number of aggregated flows. Moreover, the OUP/D/1 asymptotics provides a useful check of the accuracy of bounds and approximations proposed in the literature in order to improve the effective bandwidth principle. Based on analytical evaluation, the efficiency of buffers for voice traffic is finally shown to be very limited, i.e. no more than 2% of bandwidth can be saved owing to buffers with regard to real time constraints and a predefined loss probability as QoS demands for voice.
机译:具有根据高斯分布的速率变化的交通模型通常用于评估电信系统中的统计复用。足够大量的大量同类马尔可夫接通源的叠加渐近地接近Ornstein-Uhlenbeck过程(OUP),其表示具有指数自相关函数的高斯过程。我们从QoS约束下推出了一个简单的表达式,它接近数字OUP / D / 1分析,结果与应用相关的整个参数区域。相比之下,固定聚集级别的流体流动方法的结果用于验证OUP / D / 1渐近学,并根据聚集流的数量来估计其准确性。此外,OUP / D / 1渐近学提供了有用的检查文献中提出的界限和近似的准确性,以提高有效带宽原理。基于分析评估,最终显示语音流量的缓冲区的效率非常有限,即由于实时限制和预定义概率而言,可以节省超过2%的带宽,以及作为QoS对语音的需求的预定损耗概率。 。

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