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Loss Probability and Delay of Finite-Buffer Queues with Discrete ON-OFF Markovian Arrivals and Geometric Service Times

机译:离散开关马克洛维亚港和几何服务时间的有限缓冲区队列的损失概率和延迟

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Discrete-time queues are commonly used in the performance analysis of many computer and communications systems. As the independent and identically distributed (i.i.d.) arrival traffic model frequently adopted (due to its analytical tractability) in the literature does not capture some important properties of real-world traffics, such as self-similarity, long-range dependence, and burstiness, it is more realistic to model the arrival traffic as a time-correlated process. A widely used time-correlated arrival traffic model is the ON-OFF traffic model as it is capable of capturing the burstiness of real-world traffics. In particular, it is commonly adopted for modeling voice traffics, where the talker is speaking (resp., silent) in the ON (resp., OFF) periods. In this paper, we present the performance analysis of a finite-buffer queue with ON-OFF Markovian arrival traffic and geometric service times, called ON-OFF/Geom/1/B queue in this paper. We derive closed-form expressions for the packet loss probability and the average packet delay. The closed-form expressions are given in term of the buffer size of the queue, the characterizing parameters of the ON-OFF Markovian traffic, and the service rate.
机译:离散时间队列通常用于许多计算机和通信系统的性能分析。作为独立和相同分布的(IID)到达流量模型经常采用(由于其分析遗传性)在文献中没有捕获现实世界流通的一些重要属性,例如自我相似性,远程依赖和突发,将到达流量作为时间相关过程建模更为逼真。广泛使用的时间相关到达流量模型是开关交通模式,因为它能够捕获现实世界的突发。特别是,它通常用于建模语音流量,讲话者在ON(RESP。,OFF)期间发言(静音)。在本文中,我们在本文中介绍了带开关的Un-Off Markovian到达流量和几何服务时间的有限缓冲区队列的性能分析,在本文中被称为On-Off / Geom / 1 / B队列。我们导出了封闭式表达式,用于数据包丢失概率和平均数据包延迟。封闭形式表达式在队列的缓冲区大小的任期内给出,表征开关市场的表征参数以及服务速率。

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