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End-to-End Latency Prediction for General-Topology Cut-Through Switching Networks

机译:通用拓扑切换网络的端到端延迟预测

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Low latency networking is gaining attention to support futuristic network applications like the Tactile Internet with stringent end-to-end latency requirements. In realizing the vision, cut-through (CT) switching is believed to be a promising solution to significantly reduce the latency of today & x2019;s store-and-forward switching, by splitting a packet into smaller chunks called flits and forwarding them concurrently through input and output ports of a switch. Nevertheless, the end-to-end latency performance of CT switching has not been well studied in heterogeneous networks, which hinders its adoption to general-topology networks with heterogeneous links. To fill the gap, this paper proposes an end-to-end latency prediction model in a heterogeneous CT switching network, where the major challenge comes from the fact that a packet & x2019;s end-to-end latency relies on how and when its flits are forwarded at each switch while each flit is forwarded individually. As a result, traditional packet-based queueing models are not instantly applicable, and thus we construct a method to estimate per-hop queueing delay via M/G/c queueing approximation, based on which we predict end-to-end latency of a packet. Our extensive simulation results show that the proposed model achieves 3.98 & x2013;6.05 & x0025; 90th-percentile error in end-to-end latency prediction.
机译:低延迟网络正在引起关注,以支持像触觉互联网这样的未来派网络应用,具有严格的端到端延迟要求。在实现视觉时,截取(CT)切换被认为是一个有希望的解决方案,可以显着降低当今的延迟和X2019; S存储和前进切换,通过将数据包分成称为<斜体>闪动的较小的块< /斜体>并通过交换机的输入和输出端口同时转发它们。然而,在异构网络中,CT交换的端到端延迟性能尚未在异构网络中进行很好地研究,其阻碍了与异构环节的通用拓扑网络采用。为了填补差距,本文提出了异构CT交换网络中的端到端延迟预测模型,其中主要挑战来自数据包和X2019;■端到端延迟依赖的事实依赖于如何以及何时在每个开关的情况下,其杂于在每个开关上转发,而每个开关是单独转发的。因此,传统的基于分组的排队模型不会立即适用,因此我们构建了通过M / G / C排队近似来估计每跳排队延迟的方法,基于我们预测了一个端到端延迟包。我们广泛的仿真结果表明,拟议的型号达到3.98&x2013; 6.05&x0025;端到端延迟预测中的90百分位数。

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