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Integration of fluid-based analytical model with Packet-Level Simulation for Analysis of Computer Networks

机译:基于流体的分析模型与分组级仿真集成,以分析计算机网络

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Fluid flow analytical models have been shown to be able to capture the dynamics of TCP flows and can scale well to solving for networks with a large number of flows. However, accurate closed form solutions are not yet available for wireless networks. Traditional packet-level discrete event simulations provide accurate predictions of network behavior, but their solution time can increase significantly with the number of flows being simulated. Integration of fluid flow models with packet-level simulators appears to offer significant benefits. In this paper, we describe an approach to integrate fluid flow models into QualNet, a scalable packet-level simulator. We validate the mixed model with detailed packet-level simulations for the scenarios considered in this paper. The execution time of the mixed model is significantly impacted by the frequency with which the analytical model must be solved in response to changes in the data rate at the interface of the packet-level and analytical models. We present a time averaging approach to mitigate this impact and present the results of the resulting tradeoff between prediction accuracy and model execution time.
机译:已经显示流体流分析模型能够捕获TCP流动的动态,并可以很好地求解具有大量流动的网络。但是,无线网络尚未提供准确的封闭式解决方案。传统数据包级别离散事件模拟提供了对网络行为的准确预测,但它们的解决方案时间可以随着正在模拟的流量的数量而显着增加。将流体流量模型与分组级模拟器的整合似乎提供了显着的好处。在本文中,我们描述了一种将流体流模型集成到Qualnet中的方法,可扩展的分组级模拟器。我们为本文考虑的场景进行了详细的数据包级模拟验证了混合模型。混合模型的执行时间受到在响应于分组级和分析模型的接口处的数据速率的变化来解决的频率而受到显着影响。我们提出了一种时间平均方法来减轻这种影响并呈现预测准确性和模型执行时间之间产生的折衷的结果。

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