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2020 – today
- 2024
[c22]Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra, Himanshu Raj, Umesh Krishnaswamy, Ramesh Govindan, Srikanth Kandula:
Finding Adversarial Inputs for Heuristics using Multi-level Optimization. NSDI 2024- [c21]Pooria Namyar, Behnaz Arzani, Srikanth Kandula, Santiago Segarra, Daniel Crankshaw, Umesh Krishnaswamy, Ramesh Govindan, Himanshu Raj:
Solving Max-Min Fair Resource Allocations Quickly on Large Graphs. NSDI 2024 - [c20]Xuting Liu
, Behnaz Arzani, Siva Kesava Reddy Kakarla, Liangyu Zhao, Vincent Liu, Miguel Castro, Srikanth Kandula, Luke Marshall:
Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem. SIGCOMM 2024: 16-37 - 2023
- [c19]Pouya Hamadanian, Behnaz Arzani, Sadjad Fouladi, Siva Kesava Reddy Kakarla, Rodrigo Fonseca, Denizcan Billor, Ahmad Cheema, Edet Nkposong, Ranveer Chandra:
A Holistic View of AI-driven Network Incident Management. HotNets 2023: 180-188 - [i11]Behnaz Arzani, Siva Kesava Reddy Kakarla, Miguel Castro, Srikanth Kandula, Saeed Maleki, Luke Marshall:
Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem. CoRR abs/2305.13479 (2023) - [i10]Pooria Namyar, Behnaz Arzani, Daniel Crankshaw, Daniel S. Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan:
Mitigating the Performance Impact of Network Failures in Public Clouds. CoRR abs/2305.13792 (2023) - [i9]Pooria Namyar, Behnaz Arzani, Srikanth Kandula, Santiago Segarra, Daniel Crankshaw, Umesh Krishnaswamy, Ramesh Govindan, Himanshu Raj:
Solving Max-Min Fair Resource Allocations Quickly on Large Graphs. CoRR abs/2310.09699 (2023) - [i8]Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra, Himanshu Raj, Umesh Krishnaswamy, Ramesh Govindan, Srikanth Kandula:
Finding Adversarial Inputs for Heuristics using Multi-level Optimization. CoRR abs/2311.12779 (2023) - 2022
- [c18]Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra, Himanshu Raj, Srikanth Kandula:
Minding the gap between fast heuristics and their optimal counterparts. HotNets 2022: 138-144 - [c17]Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi:
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems. MLSys 2022 - [i7]Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi A. Noghabi, Salman Avestimehr, Ranveer Chandra:
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. CoRR abs/2202.01267 (2022) - 2021
- [c16]Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Nattar Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula:
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. HotNets 2021: 38-44 - [c15]Behnaz Arzani, Kevin Hsieh, Haoxian Chen:
Interpretable Feedback for AutoML and a Proposal for Domain-customized AutoML for Networking. HotNets 2021: 53-60 - [c14]Firas Abuzaid, Srikanth Kandula, Behnaz Arzani, Ishai Menache, Matei Zaharia, Peter Bailis:
Contracting Wide-area Network Topologies to Solve Flow Problems Quickly. NSDI 2021: 175-200 - [i6]Behnaz Arzani, Kevin Hsieh, Haoxian Chen:
Interpret-able feedback for AutoML systems. CoRR abs/2102.11267 (2021) - [i5]Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Nattar Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula:
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. CoRR abs/2110.05554 (2021) - 2020
- [c13]Behnaz Arzani, Selim Ciraci, Stefan Saroiu, Alec Wolman, Jack W. Stokes, Geoff Outhred, Lechao Diwu:
PrivateEye: Scalable and Privacy-Preserving Compromise Detection in the Cloud. NSDI 2020: 797-815 - [c12]Nofel Yaseen, Behnaz Arzani, Ryan Beckett, Selim Ciraci, Vincent Liu:
Aragog: Scalable Runtime Verification of Shardable Networked Systems. OSDI 2020: 701-718 - [c11]Jiaqi Gao, Nofel Yaseen, Robert MacDavid, Felipe Vieira Frujeri, Vincent Liu, Ricardo Bianchini, Ramaswamy Aditya, Xiaohang Wang, Henry Lee, David A. Maltz, Minlan Yu, Behnaz Arzani:
Scouts: Improving the Diagnosis Process Through Domain-customized Incident Routing. SIGCOMM 2020: 253-269 - [c10]Siva Kesava Reddy Kakarla, Ryan Beckett, Behnaz Arzani, Todd D. Millstein, George Varghese:
GRooT: Proactive Verification of DNS Configurations. SIGCOMM 2020: 310-328 - [e1]Behnaz Arzani, Xin Jin:
Proceedings of the 2020 Workshop on Network Meets AI & ML, NetAI@SIGCOMM, Virtual Event, USA, August 14, 2020. ACM 2020, ISBN 978-1-4503-8043-0 [contents] - [i4]Behnaz Arzani, Bita Rouhani:
Towards A Domain-Customized Automated Machine Learning Framework For Networks and Systems. CoRR abs/2004.11931 (2020)
2010 – 2019
- 2019
- [c9]Da Yu, Yibo Zhu, Behnaz Arzani, Rodrigo Fonseca, Tianrong Zhang, Karl Deng, Lihua Yuan:
dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network Packet Traces. NSDI 2019: 207-220 - 2018
- [c8]Arjun Roy, Deepak Bansal, David Brumley, Harish Kumar Chandrappa, Parag Sharma, Rishabh Tewari, Behnaz Arzani, Alex C. Snoeren:
Cloud Datacenter SDN Monitoring: Experiences and Challenges. Internet Measurement Conference 2018: 464-470 - [c7]Behnaz Arzani, Selim Ciraci, Luiz F. O. Chamon, Yibo Zhu, Hongqiang Liu, Jitu Padhye, Boon Thau Loo, Geoff Outhred:
007: Democratically Finding the Cause of Packet Drops. NSDI 2018: 419-435 - [i3]Behnaz Arzani, Selim Ciraci, Luiz F. O. Chamon, Yibo Zhu, Hongqiang Liu, Jitu Padhye, Boon Thau Loo, Geoff Outhred:
007: Democratically Finding The Cause of Packet Drops. CoRR abs/1802.07222 (2018) - [i2]Behnaz Arzani, Nicholas Iodice, Steven Hwang, Prahalad Venkataramanan, Roch Geurin, Boon Thau Loo:
Sunstar: A Cost-effective Multi-Server Solution for Reliable Video Delivery. CoRR abs/1812.00109 (2018) - 2017
- [c6]Behnaz Arzani, Selim Ciraci, Luiz F. O. Chamon, Yibo Zhu, Hongqiang Harry Liu, Jitu Padhye, Geoff Outhred, Boon Thau Loo:
Closing the Network Diagnostics Gap with Vigil. SIGCOMM Posters and Demos 2017: 40-42 - 2016
- [c5]Behnaz Arzani, Selim Ciraci, Boon Thau Loo, Assaf Schuster, Geoff Outhred:
Taking the Blame Game out of Data Centers Operations with NetPoirot. SIGCOMM 2016: 440-453 - 2015
- [i1]Behnaz Arzani, Alexander J. T. Gurney, Bo Li, Xianglong Han, Roch Guérin, Boon Thau Loo:
FixRoute: A Unified Logic and Numerical Tool for Provably Safe Internet Traffic Engineering. CoRR abs/1511.08791 (2015) - 2014
- [c4]Behnaz Arzani, Alexander J. T. Gurney, Shuotian Cheng, Roch Guérin, Boon Thau Loo:
Impact of Path Characteristics and Scheduling Policies on MPTCP Performance. AINA Workshops 2014: 743-748 - [c3]Behnaz Arzani, Alexander J. T. Gurney, Sitian Cheng, Roch Guérin, Boon Thau Loo:
Deconstructing MPTCP Performance. ICNP 2014: 269-274 - [c2]Behnaz Arzani:
Multi-path Solutions to Improve Network Performance. ICNP 2014: 477-479 - 2012
- [c1]Behnaz Arzani, Roch Guérin, Alejandro Ribeiro:
A distributed routing protocol for predictable rates in wireless mesh networksy. ICNP 2012: 1-10
Coauthor Index
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