NS Berkeley NetSys Lab UC Berkeley

Berkeley NetSys Lab

We design and build networked systems — from Internet architecture and congestion control to edge computing, datacenter infrastructure, and cellular networks.

Publications People

The NetSys Lab at UC Berkeley pursues foundational research on networked and distributed systems. We are part of the EECS department and work across Internet architecture, systems performance, edge computing, wireless networks, and memory systems. The NetSys Lab is directed by faculty members Rishabh Iyer, Sylvia Ratnasamy, and Scott Shenker.

Recent Publications

All papers →
TURBO: Utility-Aware Bandwidth Allocation for Cloud-Augmented Autonomous Control
Peter Schafhalter, Alexander Krentsel, Hongbo Wei, Joseph E. Gonzalez, Sylvia Ratnasamy, Scott Shenker, Ion Stoica
NINeS 2026
Transport It Your Way: Rethinking Networking Projects to Emphasize Design
Alexander Krentsel*, Tess Despres*, Sylvia Ratnasamy
SIGCOMM Workshop 2026
Token Latency Fairness: Performance Isolation for Multi-Tenant LLM Serving
Dev Bali, Soujanya Ponnapalli, Yichuan Wang, Natacha Crooks, Scott J. Shenker, Matei Zaharia
arXiv 2026
The Time is Here for Just-in-Time Systems: Challenges and Opportunities
Shu Liu, Alexander Krentsel, Shubham Agarwal, Mert Cemri, Ziming Mao, Soujanya Ponnapalli, Alexandros G. Dimakis, Sylvia Ratnasamy, Matei Zaharia, Aditya Parameswaran, Ion Stoica
arXiv 2026
SkyWalker: A Locality-Aware Cross-Region Load Balancer for LLM Inference
Tian Xia, Ziming Mao, Jamison Kerney, Ethan J. Jackson, Zhifei Li, Jiarong Xing, Scott J. Shenker, Ion Gabriel Stoica
EuroSys 2026
SkyNomad: On Using Multi-Region Spot Instances to Minimize AI Batch Job Cost
Zhifei Li, Tian Xia, Ziming Mao, Zihan Zhou, Ethan J. Jackson, Jamison Kerney, Zhanghao Wu, Pratik Mishra, Yi Xu, Yifan Qiao, Scott J. Shenker, Ion Stoica
arXiv 2026
Rethinking Network Topologies for Cost-Effective Mixture-of-Experts LLM Serving
Junsun Choi, Sam Son, Sunjin Choi, Hansung Kim, Yakun Sophia Shao, Scott Shenker, Sylvia Ratnasamy, Borivoje Nikolić
arXiv 2026
On Topology's Role in ML Training Performance
Sarah McClure, Tegan Wilson, Brad Karp, Michael Mitzenmacher, Sylvia Ratnasamy, Scott Shenker, Minlan Yu
arXiv 2026
No Signal to Rule Them All: A Systematic Analysis of In-Network Congestion Signals
Sarah McClure, Nandita Dukkipati, Sylvia Ratnasamy, S SHENKER
NINeS 2026
mKernel: Fast Multi-GPU, Multi-Node Fused Kernels
Ziming Mao, Yihan Zhang, Shawn Wei Chew, Shuang Ma, Costin Raiciu, Yang Zhou, Scott J. Shenker, Ion Stoica
arXiv 2026

Sponsors