With the growth of data volumes and variety of Internet applications, data centers (DCs) have
become an efficient and promising infrastructure for supporting data storage, and providing …

After decades of unprecedented development, modern networks have evolved far beyond
expectations in terms of scale and complexity. In many cases, traditional traffic engineering …

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 …

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

The increasing gap between the growth of datacenter traffic and electrical switch capacity is
expected to worsen due to the slowdown of Moore's law, motivating the need for a new …

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 …

The microservice architecture is a popular software engineering approach for building
flexible, large-scale online services. Serverless functions, or function as a service (FaaS) …

Datacenter applications demand microsecond-scale tail latencies and high request rates
from operating systems, and most applications handle loads that have high variance over …

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 …