1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchPrateesh Goyalhttps://www.microsoft.com/en-us/research/people/pratgoyal/Backpressure Flow Control - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="MuQuAUsLVx"><a href="https://www.microsoft.com/en-us/research/publication/backpressure-flow-control/">Backpressure Flow Control</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/backpressure-flow-control/embed/#?secret=MuQuAUsLVx" width="600" height="338" title="“Backpressure Flow Control” — Microsoft Research" data-secret="MuQuAUsLVx" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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Effective congestion control for data center networks is becoming increasingly challenging with a growing amount of latency-sensitive traffic, much fatter links, and extremely bursty traffic. Widely deployed algorithms, such as DCTCP and DCQCN, are still far from optimal in many plausible scenarios, particularly for tail latency. Many operators compensate by running their networks at low […]