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GraphCC: A Practical Graph Learning-based Approach to Congestion Control in Datacenters. (arXiv:2308.04905v1 [cs.NI])
cs.LG updates on arXiv.org arxiv.org
Congestion Control (CC) plays a fundamental role in optimizing traffic in
Data Center Networks (DCN). Currently, DCNs mainly implement two main CC
protocols: DCTCP and DCQCN. Both protocols -- and their main variants -- are
based on Explicit Congestion Notification (ECN), where intermediate switches
mark packets when they detect congestion. The ECN configuration is thus a
crucial aspect on the performance of CC protocols. Nowadays, network experts
set static ECN parameters carefully selected to optimize the average network
performance. However, …
arxiv center congestion control data data center datacenters graph graph learning intermediate networks practical role traffic variants