Analyzing and interpreting the exact behavior of new delay-based congestion control protocols with complex non-linear control loops is exceptionally difficult in highly variable networks such as cellular networks. This paper proposes a Model-Driven Interpretability (MDI) congestion control framework, which derives a model version of a delay-based protocol by simplifying a congestion control protocol's response into a guided random walk over a two-dimensional Markov model. We demonstrate the case for the MDI framework by using MDI to analyze and interpret the behavior of two delay-based protocols over cellular channels: Verus and Copa. Our results show a successful approximation of throughput and delay characteristics of the protocols' model versions across variable network conditions. The learned model of a protocol provides key insights into an algorithm's convergence properties.

中文翻译：

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基于延迟的拥塞控制协议的模型驱动可解释性案例

在蜂窝网络等高度可变的网络中，分析和解释具有复杂非线性控制回路的新的基于延迟的拥塞控制协议的确切行为异常困难。本文提出了一种模型驱动的可解释性（MDI）拥塞控制框架，该框架通过将拥塞控制协议的响应简化为二维马尔可夫模型上的引导随机游走，从而推导出基于延迟的协议的模型版本。我们通过使用 MDI 来分析和解释两种基于延迟的协议在蜂窝通道上的行为：Verus 和 Copa，来演示 MDI 框架的案例。我们的结果显示了跨可变网络条件的协议模型版本的吞吐量和延迟特性的成功近似。