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Feedback in Recursive Congestion Control

机译:递归拥塞控制中的反馈

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In recursive network architectures such as RINA or RNA, it is natural for multiple layers to carry out congestion control. These layers can be stacked in arbitrary ways and provide more ways to use feedback than before (which of the many controllers along an end-to-end path should be notified?). This in turn raises concerns regarding stability and performance of such a system of interacting congestion control mechanisms. In this paper, we report on a first analysis of feedback methods in recursive networks that we carried out using a fluid model with a packet queue approximation. We find that the strict pushback feed-back based on queue size can have stability issues, but robust control can be achieved when each congestion controller receives feedback from all sources of congestion within and below its layer.
机译:在递归网络架构(如RINA或RNA)中,对于多层来执行拥塞控制是自然的。这些层可以以任意方式堆叠,并提供比以前的更多方法使用反馈(应该通知沿着端到端路径中的许多控制器中的哪一个?)。这反过来又提高了对这种相互作用控制机制的稳定性和性能的担忧。在本文中,我们报告了使用流体模型与分组队列近似进行的递归网络中的反馈方法的第一次分析。我们发现,基于队列大小的严格的接力反馈可以具有稳定性问题,但是当每个拥塞控制器接收到其层内和下方的所有拥塞源的反馈时,可以实现鲁棒控制。

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