3 papers
cs.NI2025
m4: A Learned Flow-level Network Simulator
Chenning Li, Anton A. Zabreyko, Arash Nasr-Esfahany +4
Flow-level simulation is widely used to model large-scale data center networks due to its scalability. Unlike packet-level simulators that model individual packets, flow-level simu…
cs.NI2025
Ethereal: Divide and Conquer Network Load Balancing in Large-Scale Distributed Training
Vamsi Addanki, Prateesh Goyal, Ilias Marinos +1
Large-scale distributed training in production datacenters constitutes a challenging workload bottlenecked by network communication. In response, both major industry players (e.g.,…
cs.NI2025
Fast Userspace Networking for the Rest of Us
Alireza Sanaee, Vahab Jabrayilov, Ilias Marinos +5
After a decade of research in userspace network stacks, why do new solutions remain inaccessible to most developers? We argue that this is because they ignored (1) the hardware con…