List of Accepted Papers
We are pleased to announce that the following papers have been accepted for HotNets 2022. (Note that some papers are conditionally accepted pending shepherd approval.)
Generating representative, live network traffic out of millions of code repositoriesTobias Bühler, Roland Schmid, Sandro Lutz, Laurent Vanbever (ETH Zürich) |
Toward automating network heuristic design and analysisAnup Agarwal (Carnegie Mellon University); Venkat Arun (MIT CSAIL); Devdeep Ray, Ruben Martins, Srini Seshan (Carnegie Mellon University) |
Towards Dual-band Reconfigurable Metamaterial Surfaces for Satellite NetworkingKun Woo Cho, Yasaman Ghasempour, Kyle Jamieson (Princeton University) |
The Internet of Things in a Laptop: Rapid Prototyping for IoT Applications with DigiboxSilvery Fu, Hong Zhang, Sylvia Ratnasamy, Ion Stoica (UC Berkeley) |
CC-Fuzz: Genetic algorithm-based fuzzing for stress testing congestion control algorithms Devdeep Ray, Srinivasan Seshan (Carnegie Mellon University) |
Reflections on trusting distributed trust Emma Dauterman, Vivian Fang, Natacha Crooks, Raluca Popa (UC Berkeley) |
Bringing WiFi Localization to Any WiFi Devices Tianxiang Li, Haofan Lu, Mohammad-Reza Rezvani Pakdeh (UCLA); Ali Abedi (University of Waterloo); Omid Abari (UCLA) |
Boosting the Sensing Granularity of Acoustic Signals by Exploiting Hardware Non-linearity Xiangru Chen (Duke University); Dong Li (University of Massachusetts Amherst); Yiran Chen (Duke University); Jie Xiong (University of Massachusetts Amherst) |
DIP: Unifying Network Layer Innovations using Shared L3 Core Functions Ziqiang Wang (Southeast University); Zhuotao Liu (Tsinghua University); wang xiaoliang (Capital Normal University); Songtao Fu, Ke Xu (Tsinghua University) |
Trust-free Service Measurement and Payments for Decentralized Cellular Networks SVR Anand (Kaleidoscope Blockchain Inc.); Serhat Arslan (Stanford University); Rajat Chopra (Kaleidoscope Blockchain Inc.); Sachin Katti (Stanford University); Milind Kumar Vaddiraju (Banyan Intelligence); Ranvir Rana, Peiyao Sheng (Kaleidoscope Blockchain Inc.); Himanshu Tyagi (Indian Institute of Science and Kaleidoscope Blockchain Inc.); Pramod Viswanath (Kaleidoscope Blockchain Inc.) |
Load Balancers Need In-Band Feedback Control Bhavana Vannarth, Srinivas Narayana, Badri Nath (Rutgers University) |
Network Can Check Itself: Scaling Data Plane Checking via Distributed, On-Device Verification Qiao Xiang, Ridi Wen, Chenyang Huang, Yuxin Wang (Xiamen University); Franck Le (IBM Research) |
Efficient Flow Scheduling in Distributed Deep Learning Training with Echelon Formation Rui Pan, Yiming Lei, Jialong Li (Max Planck Institute for Informatics); Zhiqiang Xie (Max Planck Institute for Software Systems); Binhang Yuan (ETH Zurich); Yiting Xia (Max Planck Institute for Informatics) |
SEED Emulator: An Internet Emulator for Research and Education Wenliang Du, Honghao Zeng, Kyungrok Won (Syracuse University) |
Rethinking Cloud-hosted Financial Exchanges for Response Time Fairness Prateesh Goyal, Ilias Marinos, Chaitanya Bandi (Microsoft Research); Eashan Gupta (Microsoft Research, UIUC); Alan Ross (Microsoft); Ranveer Chandra (Microsoft Research) |
Global Content Revocation on the Internet: A Case Study in Technology Ecosystem Transformation Narek Galstyan (UC Berkeley and ICSI); James McCauley (Mt. Holyoke College); Hany Farid (University of California, Berkeley); Sylvia Ratnasamy (UC Berkeley); Scott Shenker (ICSI and UC Berkeley) |
A Case for Remote Attestation in Programmable Dataplanes Nik Sultana (Illinois Tech); Deborah Shands, Vinod Yegneswaran (SRI International) |
Full-Stack SDN Debnil Sur, Ben Pfaff (VMware); Leonid Ryzhyk, Mihai Budiu (VMware Research) |
Minding the gap between Fast Heuristics and their Optimal Counterparts Pooria Namyar, Behnaz Arzani, Ryan Beckett, Santiago Segarra (Microsoft Research); Himanshu Raj (Microsoft); Srikanth Kandula (Microsoft Research) |
Making Links on Your Web Pages Last Longer Than You Ayush Goel, Jingyuan Zhu, Harsha V. Madhyastha (University of Michigan) |
A new hope for network model generalization Alexander Dietmüller, Siddhant Ray (ETH Zürich); Romain Jacob (ETH Zurich); Laurent Vanbever (ETH Zürich) |
The Case for an Internet Primitive for Fault Localization William Sussman (MIT); Emily Marx (UC Berkeley); Venkat Arun, Akshay Narayan, Mohammad Alizadeh, Hari Balakrishnan (MIT); Aurojit Panda (New York University); Scott Shenker (ICSI and UC Berkeley) |
Computation-Centric Networking Yuhan Deng, Angela Montemayor (Stanford University); Amit Levy (Princeton University); Keith Winstein (Stanford University) |
It Takes Two to Tango: Cooperative Edge-to-Edge Routing Henry Birge-Lee, Maria Apostolaki, Jennifer Rexford (Princeton University) |
Towards a systematic multi-modal representation learning for network data Zied Ben Houidi, Raphael Azorin, Massimo Gallo, Alessandro Finamore, Dario Rossi (Huawei Technologies) |
Rethinking Data-driven Networking with Foundation Models: Challenges and Opportunities Franck Le, Mudhakar Srivatsa, Raghu Ganti (IBM); Vyas Sekar (Carnegie Mellon University) |
Understanding Host Interconnect Congestion Saksham Agarwal, Rachit Agarwal (Cornell University); Behnam Montazeri, Masoud Moshref, Khaled Elmeleegy, Luigi Rizzo, Marc de Kruijf, Gautam Kumar (Google); Sylvia Ratnasamy (Google and University of California, Berkeley); David Culler, Amin Vahdat (Google) |
Tango or Square Dance? How Tightly Should we Integrate Network Functionality in Browsers? Alex Davidson (Brave Software); Matthias Frei (ETH Zurich); Marten Gartner (OVGU Magdeburg); Hamed Haddadi (Brave Software); Jordi Subira Nieto (ETH Zurich); Adrian Perrig (ETH); Philipp Winter (Brave Software); François Wirz (ETH Zurich) |
The Decoupling Principle: A Practical Privacy Framework Paul Schmitt (INVISV); Jana Iyengar (Fastly); Christopher Wood (Cloudflare); Barath Raghavan (USC/INVISV) |
Sidecar: In-Network Performance Enhancements in the Age of Paranoid Transport Protocols Gina Yuan, David K. Zhang, Matthew Sotoudeh (Stanford University); Michael Welzl (University of Oslo); Keith Winstein (Stanford University |
Getting back what was lost in the era of high-speed software packet processing Marcelo Abranches (University of Colorado Boulder); Oliver Michel (Princeton University); Eric Keller (University of Colorado Boulder) |
Congestion Control in Machine Learning Clusters Sudarsanan Rajasekaran, Manya Ghobadi (MIT); Gautam Kumar (Google); Aditya Akella (UT Austin) |