A Comparative Numerical Study of the Spectral Theory Approach of Nishimura and the Roots Method Based on the Analysis of BDMMAP/G/1 Queue

Arunava Maity, U. C. Gupta
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引用次数: 8

Abstract

This paper considers an infinite-buffer queuing system with birth-death modulated Markovian arrival process (BDMMAP) with arbitrary service time distribution. BDMMAP is an excellent representation of the arrival process, where the fractal behavior such as burstiness, correlation, and self-similarity is observed, for example, in ethernet LAN traffic systems. This model was first apprised by Nishimura (2003), and to analyze it, he proposed a twofold spectral theory approach. It seems from the investigations that Nishimura’s approach is tedious and difficult to employ for practical purposes. The objective of this paper is to analyze the same model with an alternative methodology proposed by Chaudhry et al. (2013) (to be referred to as CGG method). The CGG method appears to be rather simple, mathematically tractable, and easy to implement as compared to Nishimura’s approach. The Achilles tendon of the CGG method is the roots of the characteristic equation associated with the probability generating function (pgf) of the queue length distribution, which absolves any eigenvalue algebra and iterative analysis. Both the methods are presented in stepwise manner for easy accessibility, followed by some illustrative examples in accordance with the context.
基于BDMMAP/G/1队列分析的Nishimura谱理论方法与根方法的数值比较研究
研究了一类具有任意服务时间分布的生-死调制马尔可夫到达过程的无限缓冲排队系统。BDMMAP是到达过程的一个很好的表示,其中可以观察到分形行为,如突发性、相关性和自相似性,例如在以太网LAN流量系统中。该模型最早由Nishimura(2003)提出,为了对其进行分析,他提出了一种双重光谱理论方法。从调查来看,西村的方法似乎冗长乏味,难以用于实际目的。本文的目的是用Chaudhry等人(2013)提出的另一种方法(称为CGG方法)来分析同一模型。与Nishimura的方法相比,CGG方法似乎相当简单,在数学上易于处理,并且易于实现。CGG方法的关键是与队列长度分布的概率生成函数(pgf)相关联的特征方程的根,它消除了任何特征值代数和迭代分析。为了便于理解,这两种方法都是逐步提出的,然后根据上下文给出了一些说明性的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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