Analytical Modelling and Optimization of Congestion Control for Prioritized Multi-Class Self-Similar Traffic
Analytical Modelling and Optimization of Congestion Control for Prioritized Multi-Class Self-Similar Traffic
复制标题
优先多类自相似流量的拥塞控制分析建模与优化
DOI：
10.1109/tcomm.2012.102512.110441
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发表时间：
2013
影响因子：
8.3
通讯作者：
Min G
中科院分区：
文献类型：
--
作者：
Min G
通信网络中的流量拥塞会极大地降低用户感知的服务质量（QoS）。随机早期检测（RED）和优先级调度机制的集成是一种很有前途的拥塞控制和提供多媒体应用所需的差异化QoS的方案。尽管RED拥塞控制的分析建模已经得到了大量的研究，但目前文献中报道的性能模型主要局限于RED算法，而没有考虑QoS区分的流量调度方案。此外，为了分析的可追溯性，这些模型是在简化的假设下开发的，即流量遵循短程依赖（SRD）到达过程（例如泊松过程或马尔可夫过程），这些过程无法捕捉现代通信网络中多媒体流量的自相似性质（即规模不变的突发性）。为了填补这些空白，本文提出了一种新的优先级多类自相似流量的RED拥塞控制分析模型。导出了各交通类损失概率的封闭表达式。通过对分析结果和仿真结果的比较，验证了模型的有效性和准确性。为了说明其应用，采用该模型作为一种经济有效的工具来研究最优阈值配置，并通过拥塞控制最小化所需的缓冲空间。
Traffic congestion in communication networks can dramatically deteriorate user-perceived Quality-of-Service (QoS). The integration of the Random Early Detection (RED) and priority scheduling mechanisms is a promising scheme for congestion control and provisioning of differentiated QoS required by multimedia applications. Although analytical modelling of RED congestion control has received significant research efforts, the performance models reported in the current literature were primarily restricted to the RED algorithm only without consideration of traffic scheduling scheme for QoS differentiation. Moreover, for analytical tractability, these models were developed under the simplified assumption that the traffic follows Short-Range-Dependent (SRD) arrival processes (e.g., Poisson or Markov processes), which are unable to capture the self-similar nature (i.e., scale-invariant burstiness) of multimedia traffic in modern communication networks. To fill these gaps, this paper presents a new analytical model of RED congestion control for prioritized multi-class self-similar traffic. The closed-form expressions for the loss probability of individual traffic classes are derived. The effectiveness and accuracy of the model are validated through extensive comparison between analytical and simulation results. To illustrate its application, the model is adopted as a cost-effective tool to investigate the optimal threshold configuration and minimize the required buffer space with congestion control.
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DOI：
--
发表时间：
2005
期刊：
--
影响因子：
--
作者：
M. Mandjes;P. Mannersalo;I. Norros
通讯作者：
M. Mandjes;P. Mannersalo;I. Norros
DOI：
10.1109/icc.2001.936566
发表时间：
2001-06
期刊：
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影响因子：
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作者：
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DOI：
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发表时间：
2005-07
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影响因子：
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作者：
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通讯作者：
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影响因子：
4.8
作者：
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通讯作者：
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DOI：
10.1049/iet-com.2009.0491
发表时间：
2010-05
期刊：
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影响因子：
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作者：
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Qiang Yang;J. Pitts