The nature of congestion feedback largely governs the behavior of congestion control. In
datacenter networks, where RTTs are in hundreds of microseconds, accurate feedback is …

Since the advent of datacenter networking, achieving low latency within the network has
been a primary goal. Many congestion control schemes have been proposed in recent years …

Increasingly stringent throughput and latency requirements in datacenter networks demand
fast and accurate congestion control. We observe that the reaction time and accuracy of …

Data center networks are inclined towards increasing line rates to 200Gbps and beyond to
satisfy the performance requirements of applications such as NVMe and distributed ML. With …

We report on experiences with Swift congestion control in Google datacenters. Swift targets
an end-to-end delay by using AIMD control, with pacing under extreme congestion. With …

Small RTTs (~ tens of microseconds), bursty flow arrivals, and a large number of concurrent
flows (thousands) in datacenters bring fundamental challenges to congestion control as they …

Cloud services are deployed in datacenters connected though high-bandwidth Wide Area
Networks (WANs). We find that WAN traffic negatively impacts the performance of datacenter …

Datacenter transports aim to deliver low latency messaging together with high throughput.
We show that simple packet delay, measured as round-trip times at hosts, is an effective …

Recent years have seen a slew of papers on datacenter congestion control mechanisms. In
this editorial, we ask whether the bulk of this research is needed for the common case where …

The difficulty in gaining visibility into the fine-timescale hop-level congestion state of
networks has been a key challenge faced by congestion control (CC) protocols for decades …