Analysis of Discrete Time Queueing Networks under Buffer Threshold Scheme

I. Awan, L. Guan, X. Wang
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引用次数: 1

Abstract

This paper presents a framework for the performance analysis of queueing networks under active queue management scheme. The analysis is based on a queue-by-queue decomposition technique where each queue is modelled as a GGeo/GGeo/1/{N1, N2} queue with single server, R (R = 2) distinct traffic classes, N1 as the buffer threshold and N2 as full buffer capacity under first-come-first-serve (FCFS) service rule. Two classes of traffic represent the arrival of the single class Internet traffic before and after the threshold N1, respectively. The use of queue thresholds is a well known technique for network traffic congestion control. The external traffic is modelled using the Generalised Geometric (GGeo) distribution which can capture the bursty property of network traffic. The analytical solution is obtained using the Maximum Entropy (ME) principle. The forms of the state probabilities and blocking probabilities are analytically established at equilibrium via appropriate mean value constraints. Initial numerical results demonstrate the credibility of the proposed analytical solution.
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缓冲阈值方案下离散时间排队网络分析
本文提出了一个主动队列管理方案下的排队网络性能分析框架。该分析基于逐队列分解技术,将每个队列建模为单个服务器的GGeo/GGeo/1/{N1, N2}队列,R (R = 2)个不同的流量分类,N1作为缓冲阈值,N2作为先到先服务(FCFS)服务规则下的全缓冲容量。两类流量分别表示单类互联网流量在阈值N1之前和之后到达。使用队列阈值是一种众所周知的网络流量拥塞控制技术。外部流量采用广义几何分布(GGeo)建模,可以捕捉网络流量的突发特性。利用最大熵原理得到了解析解。通过适当的均值约束,在平衡状态下解析建立了状态概率和阻塞概率的形式。初步数值结果证明了所提解析解的可靠性。
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