The Native AQM for L4S Traffic
Bob Briscoe

TL;DR
This paper proposes improvements to the native Active Queue Management (AQM) for L4S traffic, including gradient marking and virtual queues, to enhance congestion control and deployment flexibility.
Contribution
It introduces gradient (ramp) marking and virtual (phantom) queues, offering new methods for implementing virtual queuing delay in L4S AQMs.
Findings
Gradient marking enables smoother congestion signaling.
Virtual queues facilitate virtual delay measurement.
Proposed methods simplify deployment and improve congestion control.
Abstract
This memo focuses solely on the native AQM of Low Latency Low Loss Scalable throughput (L4S) traffic and proposes various improvements to the original step design. One motivation for DCTCP to use simple step marking was that it was possible to deploy it by merely configuring the RED implementations in existing hardware, albeit in an unexpected configuration by setting parameters to degenerate values. However, there is no longer any imperative to stick with the original DCTCP step-function design, because changes will be needed to implement the DualQ Coupled AQM anyway, and the requirements for L4S congestion controls are not yet set in stone either. This paper proposes gradient (ramp) marking and a virtual (a.k.a. phantom) queue. It provides a way to implement virtual queuing delay (a.k.a. virtual sojourn time) and scaled virtual sojourn time.
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Taxonomy
TopicsNetwork Traffic and Congestion Control · Software-Defined Networks and 5G · Interconnection Networks and Systems
