Real-time high percentile tracking of quasi-exponential delays

K. Sohraby, A. E. Eckberg
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Abstract

In many applications certain parameters of a system should be set on the basis of some large percentiles of a delay random variable, for which the characteristics may not be known or may change slowly with time. Assuming that sample values of delays are available sequentially, the authors obtain a simple algorithm to track two key statistical characteristics of the delay. Any high percentile then may be approximated as a simple linear function of these parameters. The approach is based on a quasi-exponential assumption concerning the delays.<>
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准指数延迟的实时高百分位跟踪
在许多应用中,系统的某些参数应该基于延迟随机变量的一些大的百分位数来设置,这些延迟随机变量的特征可能是未知的,或者可能随时间缓慢变化。假设延迟的样本值是顺序可用的,作者得到了一种简单的算法来跟踪延迟的两个关键统计特征。任何高的百分位数都可以近似为这些参数的简单线性函数。该方法基于一个关于时滞的拟指数假设。
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