The computing demand for massive applications has led to the ubiquitous deployment of
computing power. This trend results in the urgent need for higher-level computing resource …

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 …

Commodity network devices support adding in-band telemetry measurements into data
packets, enabling a wide range of applications, including network troubleshooting …

With the development of software-defined network and programmable data-plane
technology, in-band network telemetry has emerged. In-band network telemetry technology …

These days, taking the revolutionary approach of using clean-slate learning-based designs
to completely replace the classic congestion control schemes for the Internet is gaining …

Traditionally, the data plane has been designed with fixed functions to forward packets using
a small set of protocols. This closed-design paradigm has limited the capability of the …

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 …

The rapid growth in both computational density and scale in AI models in recent years
motivates the construction of an efficient and reliable dedicated network infrastructure. This …

Sketch-based measurement has emerged as a promising alternative to the traditional
sampling-based network measurement approaches due to its high accuracy and resource …

Network performance anomalies (NPAs), eg long-tailed latency, bandwidth decline, etc., are
increasingly crucial to cloud providers as applications are getting more sensitive to …