We present a decade of evolution and production experience with Jupiter datacenter
network fabrics. In this period Jupiter has delivered 5x higher speed and capacity, 30 …

We propose TopoOpt, a novel direct-connect fabric for deep neural network (DNN) training
workloads. TopoOpt co-optimizes the distributed training process across three dimensions …

To keep up with the continuous growth in demand, cloud providers spend millions of dollars
augmenting the capacity of their wide-area backbones and devote significant effort to …

Cloud networks are increasingly managed by centralized software defined controllers.
Centralized traffic engineering controllers achieve higher network throughput than …

Simple path tracing tools such as traceroute allow malicious users to infer network
topologies remotely and use that knowledge to craft advanced denial-of-service (DoS) …

Many enterprises today manage traffic on their wide-area networks using software-defined
traffic engineering schemes, which scale poorly with network size; the solver runtimes and …

Satellite routers in emerging space-terrestrial integrated networks (STINs) are operated in a
failure-prone, intermittent and resource-constrained space environment, making it very …

While prior work has explored many proposed datacenter designs, only two designs, Clos-
based and expander-based, are generally considered practical because they can scale …

Fiber cut events reduce the capacity of wide-area networks (WANs) by several Tbps. In this
paper, we revive the lost capacity by reconfiguring the wavelengths from cut fibers into …

Geographically distributed applications hosted on cloud are becoming prevalent. They run
on cross-datacenter network that consists of multiple data center networks (DCNs) …