Datacenters provide cost-effective and flexible access to scalable compute and storage
resources necessary for today's cloud computing needs. A typical datacenter is made up of …

Over the years, the Internet has been enriched with new available communication
technologies, for both fixed and mobile networks and devices, exhibiting an impressive …

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 …

Congestion control (CC) is the key to achieving ultra-low latency, high bandwidth and
network stability in high-speed networks. From years of experience operating large-scale …

Homa is a new transport protocol for datacenter networks. It provides exceptionally low
latency, especially for workloads with a high volume of very short messages, and it also …

Traditional end-host network stacks are struggling to keep up with rapidly increasing
datacenter access link bandwidths due to their unsustainable CPU overheads. Motivated by …

Modern datacenter networks provide very high capacity via redundant Clos topologies and
low switch latency, but transport protocols rarely deliver matching performance. We present …

Traditional datacenters are designed as a collection of servers, each of which tightly couples
the resources required for computing tasks. Recent industry trends suggest a paradigm shift …

This paper presents our design and experience with a microkernel-inspired approach to
host networking called Snap. Snap is a userspace networking system that supports Google's …

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 …