Quality-of-Service Analysis for Statistical Multiplexing with Gaussian Distributed and Autoregressive Input
Quality-of-Service Analysis for Statistical Multiplexing with Gaussian Distributed and Autoregressive Input
复制标题
高斯分布和自回归输入的统计复用的服务质量分析
DOI：
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发表时间：
2001
期刊：
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通讯作者：
G. Haßlinger
中科院分区：
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作者：
G. Haßlinger
我们调查多路复用器在电信系统中的工作量的过程开发相当于一个服务系统的半马尔可夫输入，其中包括流体流和时隙系统。采用离散时间方法分析了统计复用的等待时间和丢包率，重点研究了统计复用的性能。交通流量的建模自回归过程产生自相关和高斯分布的工作量增加。开关语音源的叠加接近自回归过程，它们也作为一个基本模型，在适当的时间尺度上的视频流量，虽然视频揭示了一个更复杂的自相关结构。性能结果得到依赖于只有两个参数，这允许明确的结论，统计复用增益方面的损失率的界限，要求在服务质量保证。
We investigate multiplexers in telecommunication systems with a workload process developing equivalent to that of a service system with semi-Markovian input, which includes fluid flow and time slotted systems. Discrete time methods are used to analyze their waiting time and loss rate.Our focus is on the performance evaluation of statistical multiplexing. Traffic flows are modeled by autoregressive processes producing autocorrelated and Gaussian distributed workload increases. The superposition of on-off voice sources approaches autoregressive processes and they also serve as a basic model for video traffic in an appropriate time scale, although video reveals a more complex autocorrelation structure. Performance results are obtained depending on only two parameters, which allow for clear conclusions about the statistical multiplexing gain with regard to bounds on loss rates as demanded in quality-of-service guarantees.