Skip to main content
Menu

Computing Infrastructure Group publications

Publications

2024

  • Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Liam Perreault, Riad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, and Noa Zilberman. "Planter: rapid prototyping of in-network machine learning inference", ACM SIGCOMM Computer Communication Reviews, January 2024. (pdf)(official).
  • Lennart Heim, Tim Fist, Janet Egan, Sihao Huang, Stephen Zekany, Robert Trager, Michael A Osborne, and Noa Zilberman. "Governing Through the Cloud: The Intermediary Role of Compute Providers in AI Regulation", arXiv preprint arXiv:2403.08501, March 2024. (pdf)(arXiv).
  • Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, and Noa Zilberman. "IIsy: Hybrid In-Network Classification Using Programmable Switches". IEEE/ACM Transactions on Networking 2024 (pdf)(official). 
  • Masoud Hemmatpour, Changgang Zheng and Noa Zilberman. "E-Commerce Bot Traffic: In-Network Impact, Detection, and Mitigation". ICIN 2024 (pdf)(official).

2023

  • Changgang Zheng, Xinpeng Hong, Damu Ding, Shay Vargaftik, Yaniv Ben-Itzhak and Noa Zilberman. "In-Network Machine Learning Using Programmable Network Devices: A Survey". IEEE Communications Surveys & Tutorials, 2023 (pdf)(official).
  • Noa Zilberman, Eve M. Schooler, Uri Cummings, Rajit Manohar, Dawn Nafus, Robert Soulé, and Rick Taylor. "Toward Carbon-Aware Networking". ACM SIGEnergy Energy Informatics Review, Volume 3 Issue 3, November 2023 (pdf)(official).
  • Changgang Zheng, Haoyue Tang, Mingyuan Zang, Xinpeng Hong, Aosong Feng, Leandros Tassiulas, and Noa Zilberman. "DINC: toward distributed in-network computing", ACM CoNEXT and Proceedings of the ACM on Networking (PACMNET), December 2023 (pdf)(official)(artifact).
  • Sawsan El Zahr, Paul Gunning and Noa Zilberman. "Exploring the Benefits of Carbon-Aware Routing". ACM CoNEXT and Proceedings of the ACM on Networking (PACMNET), December 2023 (pdf)(official)(artifact).
  • Zang, Mingyuan, Changgang Zheng, Lars Dittmann, and Noa Zilberman. "Towards Continuous Threat Defense: In-Network Traffic Analysis for IoT Gateways." IEEE Internet of Things Journal, 2023 (pdf)(official)(artifact).
  • Changgang Zheng, Benjamin Rienecker and Noa Zilberman. "QCMP: Load Balancing via In-Network Reinforcement Learning", ACM SIGCOMM FIRA workshop, September 2023 (pdf)(official). 
  • Xinpeng Hong, Changgang Zheng, Stefan Zohren, and Noa Zilberman. "LOBIN: In-Network Machine Learning for Limit Order Books". IEEE HPSR, June 2023 (pdf)(official).
  • Mingyuan Zang, Changgang Zheng, Tomasz Koziak, Noa Zilberman, and Lars Dittmann. "Federated Learning-Based In-Network Traffic Analysis on IoT Edge". IFIP Networking 2023 Sec4IoT Workshop, June 2023 (pdf)(official).
  • Mingyuan Zang, Changgang Zheng, Lars Dittmann and Noa Zilberman, "Advanced Threat Defense with In-Network Traffic Analysis for IoT Gateways". MobiUK, July 2023 (official).

2022

  • Pietro Bressana, Noa Zilberman, and Robert Soulé. "PTA: Finding Hard-to-Find Data Plane Bugs." IEEE/ACM Transactions on Networking, 2022 (pdf)(official).
  • Noa Zilberman. "hXDP: light and efficient packet processing offload: technical perspective". Communications of the ACM 65 (8), July 2022. (official).
  • Eve M Schooler, Rick Taylor, Noa Zilberman, Robert Soulé, Dawn Nafus, Rajit Manohar, Uri Cummings. "A Perspective on Carbon-aware Networking". IAB Workshop on Environmental Impact of Internet Applications and Services, 2022. (pdf) (official)
  • Noa Zilberman, Eve M. Schooler, Uri Cummings, Rajit Manohar, Dawn Nafus, Robert Soulé, and Rick Taylor. "Toward Carbon-Aware Networking". HotCarbon'22, July 2022 (pdf)(official)(video).
  • Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, and Noa Zilberman. "Automating In-Network Machine Learning". arXiv preprint arXiv:2205.08824, May 2022. (pdf)(arXiv)
  • Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, and Noa Zilberman. "IIsy: Practical In-Network Classification." arXiv preprint arXiv:2205.08243, May 2022. (pdf)(arXiv)
  • Damu Ding, Marco Savi, Federico Pederzolli, and Domenico Siracusa. "Design and Development of Network Monitoring Strategies in P4-enabled Programmable Switches." IEEE/IFIP Network Operations and Management Symposium (NOMS), 2022 (pdf)(official).
  • Xinpeng Hong, Changgang Zheng, Stefan Zohren, and Noa Zilberman. "Linnet: limit order books within switches". ACM SIGCOMM Posters and Demos, August 2022.(pdf)(official).
  • Radostin Stoyanov, Wesley Armour, and Noa Zilberman. "Network-accelerated cluster scheduler". ACM SIGCOMM Posters and Demos, August 2022.(pdf)(official).
  • Mingyuan Zang, Changgang Zheng, Radostin Stoyanov, Lars Dittmann, and Noa Zilberman. "P4Pir: in-network analysis for smart IoT gateways". ACM SIGCOMM Posters and Demos, August 2022.(pdf)(official).

2021

  • Shahar Avin, Haydn Belfield, Miles Brundage, Gretchen Krueger, Jasmine Wang, Adrian Weller, Markus Anderljung, Igor Krawczuk, David Krueger, Jonathan Lebensold, Tegan Maharaj and Noa Zilberman. "Filling gaps in trustworthy development of AI". Science 374, no. 6573 (2021): 1327-1329, December 2021. (arXiv)(official).
  • Radostin Stoyanov, Adam Wolnikowski, Robert Soule, Sandor Laki, and Noa Zilberman. "Building an Internet Router with P4Pi". 4th P4 Workshop in Europe (EuroP4), December 2021 (webpage)(pdf).
  • Sandor Laki, Radostin Stoyanov, David Kis, Robert Soule, Peter Voros, and Noa Zilberman. "P4Pi: P4 On Raspberry Pi for Networking Education". ACM SIGCOMM Computer Communication Review, July 2021 (webpage)(pdf)(official).
  • Noa Zilberman, Andrew W Moore, Billy Cooper, Jackson Woodruff, Yuta Tokusashi, Pietro Bressana, Murali Ramanujam, Diana Andreea Popescu, and Salvator Galea. "NRG: A Network Perspective on Applications' Performance", IFIP TMA Conference, September 2021
    (webpage)(pdf)(official).
  • Changgang Zheng and Noa Zilberman, "Planter: Seeding Trees Within Switches" , ACM SIGCOMM Posters and Demos, August 2021.(pdf)(official).
    We thank contributions by Yaniv Ben-Itzhak and Shay Vargaftik (VMWare).

2020

  • Pietro Bressana, Noa Zilberman, Robert Soulé, "Finding hard-to-find data plane bugs with a PTA", ACM CoNEXT, 2020. (webpage)(pdf)(official)(artifact)(video)
  • Radostin Stoyanov and Noa Zilberman, "MTPSA: Multi-Tenant Programmable Switches", The 3rd P4 Workshop in Europe (EuroP4), 2020. (pdf)(official)(artifact)(video)
  • Pietro Bressana, Noa Zilberman, Dejan Vucinic, Robert Soulé, "Trading Latency for Compute in the Network", ACM SIGCOMM 2020 Workshop on Network Application Integration/CoDesign, 2020. (pdf)(official)
  • Noa Zilberman, "An artifact evaluation of NDP", ACM SIGCOMM Computer Communication Review 50 (2), 32-36, 2020. (pdf)(official)(dataset)
  • Noa Zilberman, Andrew W Moore, "Thoughts about Artifact Badging",ACM SIGCOMM Computer Communication Review 50 (2), 60-63, 2020. (pdf)(official).
  • Huynh Tu Dang, Pietro Bressana, Han Wang, Ki Suh Lee, Noa Zilberman, Hakim Weatherspoon, Marco Canini, Fernando Pedone, Robert Soulé, "P4xos: Consensus as a network service", IEEE/ACM Transactions on Networking, 2020. (pdf)(official).
  • Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, JB Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, David Krueger, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Elizabeth Barnes, Allan Dafoe, Paul Scharre, Ariel Herbert-Voss, Martijn Rasser, Shagun Sodhani, Carrick Flynn, Thomas Krendl Gilbert, Lisa Dyer, Saif Khan, Yoshua Bengio, Markus Anderljung, "Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims", arXiv preprint arXiv:2004.07213, 2020. (official)