差分突发交通GRED-I拥塞控制的随机建模与分析

21st International Conference on Advanced Information Networking and Applications (AINA '07) Pub Date : 2007-05-21 DOI:10.1109/AINA.2007.132

Lan Wang, G. Min, I. Awan

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引用次数: 8

摘要

本文建立了具有增强随机早期检测(RED)拥塞控制方案的有限容量排队系统在不同类型突发交通存在下的分析性能模型。通过两态马尔可夫调制泊松过程(MMPP)的叠加来捕获聚合流量。为每个流量分类分配两个单独的阈值，以区别控制流量注入速率。通过与仿真结果的比较，验证了该模型的准确性。采用该模型研究了交通突发度和系统容量对拥塞控制方案性能的影响。

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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Stochastic Modeling and Analysis of GRED-I Congestion Control for Differentiated Bursty Traffic

This paper develops an analytical performance model for a finite capacity queueing system with an enhanced random early detection (RED) congestion control scheme in the presence of differentiated classes of bursty traffic. The aggregate traffic is captured by the superposition of 2-state Markov modulated Poisson processes (MMPP). Two individual thresholds are assigned to each traffic class in order to differentially control traffic injection rate. The accuracy of this model is verified by comparing the analytical results against those obtained from simulation. The model is adopted to investigate the effects of traffic burstiness and system capacity on the performance of the congestion control scheme.

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21st International Conference on Advanced Information Networking and Applications (AINA '07)

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