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A Control-Theoretic Approach to Flow Control

机译:流量控制的控制理论方法

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This paper presents a control-theoretic approach to reactive flow control in networks that do not reserve bandwidth. We assume a round-robin-like queue service discipline in the output queues of the network's switches, and propose deterministic and stochastic models for a single conversation in a network of such switches. These models motivate the Packet-Pair rate probing technique, and a provably stable rate-based flow control scheme. A Kalman state estimator is derived from discrete-time state space analysis, but there are difficulties in using the estimator in practice. These difficulties are overcome by a novel estimation scheme based on fuzzy logic. We then present a technique to extract and use additional information from the system to develop a continuous-time system model. This is used to design a variant of the control law that is also provably stable, and, in addition, takes control action as rapidly as possible. Finally, practical issues such as correcting parameter drift and coordination with window flow control are described.
机译:本文提出了一种在不保留带宽的网络中进行无功流量控制的控制理论方法。我们在网络的交换机的输出队列中假设采用类似循环的队列服务原则,并为此类交换机的网络中的单个会话提出确定性和随机模型。这些模型激发了分组对速率探测技术和可证明的稳定的基于速率的流量控制方案。卡尔曼状态估计器是从离散时间状态空间分析得出的,但是在实践中使用估计器存在困难。通过基于模糊逻辑的新颖估计方案克服了这些困难。然后,我们提出一种从系统中提取和使用其他信息以开发连续时间系统模型的技术。这被用来设计控制规律的变体,该变体也被证明是稳定的,并且此外,尽可能快地采取控制动作。最后,描述了实际问题,例如校正参数漂移和与窗口流控制的协调。

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