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Analysis of a fluid approximation to flow control dynamics

机译:流体逼近与流量控制动力学的分析

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The authors consider a flow control mechanism that dynamically regulates the rate of data flow into a network based on feedback information about the network state. Such mechanisms have been introduced in a variety of networks, and have been advocated for future high-speed networks. The authors first model the flow control mechanism by a discrete-space stochastic process and define appropriate performance measures for transient and steady-state regimes. However, the model does not appear to be analytically tractable, and the authors study it through simulation. They then simplify it to a continuous-space deterministic (or fluid) model for which closed-form solutions can be derived easily. It is found that the analytical results for the fluid model agree well with the simulation results obtained using the discrete-space model. Both models explicitly consider delay of the feedback information, thus making them relevant for high-speed networks.
机译:作者考虑了一种流量控制机制,它基于关于网络状态的反馈信息,动态调节数据流入到网络中的数据流速率。这些机制已在各种网络中引入,并且已被提倡未来的高速网络。作者首先通过离散空间随机过程模拟流量控制机制,并为瞬态和稳态制度定义适当的性能措施。但是,该模型似乎没有分析易行,而作者通过模拟研究。然后,它们将其简化为连续空间确定性(或流体)模型,其可以容易地推导出闭合液解决方案。发现流体模型的分析结果与使用离散空间模型获得的模拟结果很好。两种模型都明确考虑延迟反馈信息,从而使它们与高速网络相关。

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