Quality-of-Service Analysis of Queuing Systems with Long-Range-Dependent Network Traffic and Variable Service Capacity
Quality-of-Service Analysis of Queuing Systems with Long-Range-Dependent Network Traffic and Variable Service Capacity
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DOI：
10.1109/twc.2011.120511.100867
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发表时间：
2012-02
影响因子：
10.4
通讯作者：
X. Jin;G. Min;R. Velentzas;Jianmin Jiang
中科院分区：
文献类型：
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作者：
X. Jin;G. Min;R. Velentzas;Jianmin Jiang
许多高质量的测量研究表明，无线网络流量具有显著的长距离相关（LRD）特性。此外，无线信道的衰落特性会导致可变的服务容量。由于分形LRD交通建模的固有困难和高复杂性，现有的分析模型与LRD到达过程的排队系统已主要限于简化的情况下，假设服务能力是恒定的。在实际工作环境中，无线信道具有时变特性，因此研究服务容量变化时的系统性能是非常重要和必要的。为此，本文提出了一个综合分析模型的排队系统LRD交通和可变的服务能力。我们扩展了大偏差原则的应用，并推导出服务质量（QoS）指标的封闭形式的表达式。通过大量的仿真实验验证了模型的准确性，使其成为通信网络性能分析的成本效益评估工具。为了说明其应用，该模型被用来研究LRD业务和可变的服务容量对系统性能和资源配置的影响。
Many high-quality measurement studies have demonstrated that wireless network traffic exhibits the noticeable Long-Range-Dependent (LRD) property. Moreover, the fading nature of wireless channels can lead to variable service capacity. Due to the inherent difficulty and high complexity of modelling the fractal-like LRD traffic, existing analytical models of queuing systems with LRD arrival processes have been primarily limited to the simplified scenarios where the service capacity is assumed to be constant. Given the time-varying nature of wireless channels in the real-world working environments, it is very important and necessary to investigate system performance in the presence of variable service capacity. To this end, this paper presents a comprehensive analytical model for queuing systems subject to LRD traffic and variable service capacity. We extend the application of a Large Deviation Principle and derive the closed-form expressions of Quality-of-Service (QoS) metrics. The accuracy of the model validated through extensive simulation experiments makes it a cost-effective evaluation tool for performance analysis of communication networks. To illustrate its applications, the model is adopted to investigate the effects of LRD traffic and variable service capacity on the system performance and resource configuration.