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 …

Abstract As a typical Information Centric Networking, Named Data Networking (NDN) has
attracted wide research attentions in recent years. NDN evolves today's host-centric network …

Data center clusters that run DNN training jobs are inherently heterogeneous. They have
GPUs and CPUs for computation and network bandwidth for distributed training. However …

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 …

Modern cloud architectures rely on each server running its own networking stack to
implement policies such as tunneling for virtual networks, security, and load balancing …

Hyperscale datacenter providers have struggled to balance the growing need for
specialized hardware (efficiency) with the economic benefits of homogeneity …

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 …

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 …

We present the design, implementation and engineering experience in building and
deploying MegaScale, a production system for training large language models (LLMs) at the …