A distributed routing protocol for predictable rates in wireless mesh networksy. - Behnaz Arzani; Roch Guérin; Alejandro Ribeiro (ICNP, 2012)

Impact of Path Characteristics and Scheduling Policies on MPTCP Performance. - Behnaz Arzani; Alexander J. T. Gurney; Shuotian Cheng; Roch Guérin; Boon Thau Loo (AINA Workshops, 2014)

Multi-path Solutions to Improve Network Performance. - Behnaz Arzani (ICNP, 2014)

Deconstructing MPTCP Performance. - Behnaz Arzani; Alexander J. T. Gurney; Sitian Cheng; Roch Guérin; Boon Thau Loo (ICNP, 2014)

FixRoute: A Unified Logic and Numerical Tool for Provably Safe Internet Traffic Engineering. - Behnaz Arzani; Alexander J. T. Gurney; Bo Li; Xianglong Han; Roch Guérin; Boon Thau Loo (CoRR, 2015)

Taking the Blame Game out of Data Centers Operations with NetPoirot. - Behnaz Arzani; Selim Ciraci; Boon Thau Loo; Assaf Schuster; Geoff Outhred (SIGCOMM, 2016)

Closing the Network Diagnostics Gap with Vigil. - Behnaz Arzani; Selim Ciraci; Luiz F. O. Chamon; Yibo Zhu; Hongqiang Harry Liu; Jitu Padhye; Geoff Outhred; Boon Thau Loo (SIGCOMM Posters and Demos, 2017)

Cloud Datacenter SDN Monitoring: Experiences and Challenges. - Arjun Roy; Deepak Bansal; David Brumley; Harish Kumar Chandrappa; Parag Sharma; Rishabh Tewari; Behnaz Arzani; Alex C. Snoeren (Internet Measurement Conference, 2018)

007: Democratically Finding the Cause of Packet Drops. - Behnaz Arzani; Selim Ciraci; Luiz F. O. Chamon; Yibo Zhu; Hongqiang Liu; Jitu Padhye; Boon Thau Loo; Geoff Outhred (NSDI, 2018)

Sunstar: A Cost-effective Multi-Server Solution for Reliable Video Delivery. - Behnaz Arzani; Nicholas Iodice; Steven Hwang; Prahalad Venkataramanan; Roch Geurin; Boon Thau Loo (CoRR, 2018)

dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network Packet Traces. - Da Yu; Yibo Zhu; Behnaz Arzani; Rodrigo Fonseca; Tianrong Zhang; Karl Deng; Lihua Yuan (NSDI, 2019)

PrivateEye: Scalable and Privacy-Preserving Compromise Detection in the Cloud. - Behnaz Arzani; Selim Ciraci; Stefan Saroiu; Alec Wolman; Jack W. Stokes; Geoff Outhred; Lechao Diwu (NSDI, 2020)

Aragog: Scalable Runtime Verification of Shardable Networked Systems. - Nofel Yaseen; Behnaz Arzani; Ryan Beckett; Selim Ciraci; Vincent Liu 001 (OSDI, 2020)

Scouts: Improving the Diagnosis Process Through Domain-customized Incident Routing. - Jiaqi Gao; Nofel Yaseen; Robert MacDavid; Felipe Vieira Frujeri; Vincent Liu 001; Ricardo Bianchini; Ramaswamy Aditya; Xiaohang Wang 008; Henry Lee; David A. Maltz; Minlan Yu; Behnaz Arzani (SIGCOMM, 2020)

GRooT: Proactive Verification of DNS Configurations. - Siva Kesava Reddy Kakarla; Ryan Beckett; Behnaz Arzani; Todd D. Millstein; George Varghese (SIGCOMM, 2020)

Towards A Domain-Customized Automated Machine Learning Framework For Networks and Systems. - Behnaz Arzani; Bita Rouhani (CoRR, 2020)

Interpretable Feedback for AutoML and a Proposal for Domain-customized AutoML for Networking. - Behnaz Arzani; Kevin Hsieh; Haoxian Chen 001 (HotNets, 2021)

Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. - Nofel Yaseen; Behnaz Arzani; Krishna Chintalapudi; Vaishnavi Nattar Ranganathan; Felipe Vieira Frujeri; Kevin Hsieh; Daniel S. Berger; Vincent Liu 001; Srikanth Kandula (HotNets, 2021)

Contracting Wide-area Network Topologies to Solve Flow Problems Quickly. - Firas Abuzaid; Srikanth Kandula; Behnaz Arzani; Ishai Menache; Matei Zaharia; Peter Bailis (NSDI, 2021)

Interpret-able feedback for AutoML systems. - Behnaz Arzani; Kevin Hsieh; Haoxian Chen 001 (CoRR, 2021)

Minding the gap between fast heuristics and their optimal counterparts. - Pooria Namyar; Behnaz Arzani; Ryan Beckett; Santiago Segarra; Himanshu Raj; Srikanth Kandula (HotNets, 2022)

Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems. - Ankur Mallick; Kevin Hsieh; Behnaz Arzani; Gauri Joshi (MLSys, 2022)

FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. - Jinhyun So; Kevin Hsieh; Behnaz Arzani; Shadi A. Noghabi; Salman Avestimehr; Ranveer Chandra (CoRR, 2022)

A Holistic View of AI-driven Network Incident Management. - Pouya Hamadanian; Behnaz Arzani; Sadjad Fouladi; Siva Kesava Reddy Kakarla; Rodrigo Fonseca; Denizcan Billor; Ahmad Cheema; Edet Nkposong; Ranveer Chandra (HotNets, 2023)

Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem. - Behnaz Arzani; Siva Kesava Reddy Kakarla; Miguel Castro; Srikanth Kandula; Saeed Maleki; Luke Marshall (CoRR, 2023)

Mitigating the Performance Impact of Network Failures in Public Clouds. - Pooria Namyar; Behnaz Arzani; Daniel Crankshaw; Daniel S. Berger; Kevin Hsieh; Srikanth Kandula; Ramesh Govindan (CoRR, 2023)

Towards Safer Heuristics With XPlain. - Pantea Karimi; Solal Pirelli; Siva Kesava Reddy Kakarla; Ryan Beckett; Santiago Segarra; Beibin Li; Pooria Namyar; Behnaz Arzani (HotNets, 2024)

End-to-End Performance Analysis of Learning-enabled Systems. - Pooria Namyar; Michael Schapira; Ramesh Govindan; Santiago Segarra; Ryan Beckett; Siva Kesava Reddy Kakarla; Behnaz Arzani (HotNets, 2024)

Finding Adversarial Inputs for Heuristics using Multi-level Optimization. - Pooria Namyar; Behnaz Arzani; Ryan Beckett; Santiago Segarra; Himanshu Raj; Umesh Krishnaswamy; Ramesh Govindan; Srikanth Kandula (NSDI, 2024)

Solving Max-Min Fair Resource Allocations Quickly on Large Graphs. - Pooria Namyar; Behnaz Arzani; Srikanth Kandula; Santiago Segarra; Daniel Crankshaw; Umesh Krishnaswamy; Ramesh Govindan; Himanshu Raj (NSDI, 2024)

Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem. - Xuting Liu; Behnaz Arzani; Siva Kesava Reddy Kakarla; Liangyu Zhao; Vincent Liu 001; Miguel Castro; Srikanth Kandula; Luke Marshall (SIGCOMM, 2024)

Everything Matters in Programmable Packet Scheduling. - Albert Gran Alcoz; Balázs Vass; Pooria Namyar; Behnaz Arzani; Gábor Rétvári; Laurent Vanbever (NSDI, 2025)

Enhancing Network Failure Mitigation with Performance-Aware Ranking. - Pooria Namyar; Arvin Ghavidel; Daniel Crankshaw; Daniel S. Berger; Kevin Hsieh; Srikanth Kandula; Ramesh Govindan; Behnaz Arzani (NSDI, 2025)