Program

• Approximations to Study the Impact of the Service Discipline in Systems with Redundancy
  Nicolas Gast (INRIA); Benny Van Houdt (University of Antwerp)
• Multi-Dimensional State Space Collapse in Non-Complete Resource Pooling Scenarios
  Ellen Cardinaels, Sem Borst (Eindhoven University of Technology); Johan S.H. van Leeuwaarden (Tilburg University)
• Strongly Tail-Optimal Scheduling in the Light-Tailed M/G/1
  George Yu, Ziv Scully (Cornell University)
• Heavy-Traffic Optimal Size- and State-Aware Dispatching
  Runhan Xie (University of California, Berkeley); Isaac Grosof (Carnegie Mellon University, Georgia Institute of Technology); Ziv Scully (Cornell University)

• Deep Dive Into NTP Pool Popularity and Mapping
  Giovane C. M. Moura (SIDN Labs and Delft University of Technology); Marco Davids, Caspar Schutijser (SIDN Labs); Cristian Hesselman (SIDN Labs / University of Twente); John Heidemann (University of Southern California / Information Sciences Institute); Georgios Smaragdakis (Delft University of Technology)
• MetaVRadar: Measuring Metaverse Virtual Reality Network Activity
  Minzhao Lyu, Rahul Dev Tripathi, Vijay Sivaraman (University of New South Wales)
• SCADA World: An Exploration of the Diversity in Power Grid Networks
  Neil Ortiz, Alvaro A. Cardenas (University of California Santa Cruz); Avishai Wool (Tel Aviv University)
• Democratizing LEO Satellite Network Measurement
  Liz Izhikevich, Manda Tran (Stanford University); Katherine Izhikevich (UC San Diego); Gautam Akiwate, Zakir Durumeric (Stanford University)

• Analysis of False Negative Rates for Recycling Bloom Filters (Yes, They Happen!)
  Kahlil Dozier, Loqman Salamatian, Dan Rubenstein (Columbia University)
• Invertible Bloom Lookup Tables with Listing Guarantees
  Avi Mizrahi (Technion - Israel Institute of Technology); Daniella Bar-Lev, Eitan Yaakobi, Ori Rottenstreich (Technion - Israel Institute of Technology)
• Lightweight Acquisition and Ranging of Flows in the Data Plane
  Andrea Monterubbiano (Sapienza Università di Roma); Jonatan Langlet (Queen Mary University of London); Stefan Walzer (Cologne University); Gianni Antichi (Politecnico di Milano and Queen Mary University of London); Pedro Reviriego Vasallo (Universidad Politecnica de Madrid); Salvatore Pontarelli (Sapienza Università di Roma)

• TAO: Re-Thinking DL-based Microarchitecture Simulation
  Santosh Pandey (Rutgers University); Amir Yazdanbakhsh (Google DeepMind); Hang Liu (Rutgers University)
• Agents of Autonomy: A Systematic Study of Robotics on Modern Hardware
  Mohammad Bakhshalipour, Phillip B. Gibbons (Carnegie Mellon University)
• Automated Backend Allocation for Multi-Model, On-Device AI Inference
  Venkatraman Iyer, Sungho Lee, Semun Lee, Juitem Joonwoo Kim, Hyunjun Kim, Youngjae Shin (Samsung Electronics)

The panel opens with a talk by Duyunfei entitled "Predictability and Performance Engineering for Cluster Systems".

Panelists:

• Duyunfei (Huawei China)
• Alexander Isaev (Huawei UK)
• John Kim (KAIST)
• Hang Liu (Rutgers University)
• John Wilkes (Technical Infrastructure, Google)

• Learning the Optimal Control for Evolving Systems with Converging Dynamics
  Qingsong Liu (Tsinghua University); Zhixuan Fang (Tsinghua Univerisity)
• Sampling for Remote Estimation of the Wiener Process Over an Unreliable Channel
  Jiayu Pan (Dept. of ECE, The Ohio State University); Yin Sun (Dept. of ECE, Auburn University); Ness B. Shroff (Dept. of ECE and CSE, The Ohio State University)
• Near-Optimal Packet Scheduling in Multihop Networks with End-to-End Deadline Constraints
  Christos Tsanikidis, Javad Ghaderi (Columbia University)
• Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA
  Yixuan Zhang (University of Wisconsin-Madison); Lucy Huo (Cornell University); Yudong Chen, Qiaomin Xie (University of Wisconsin-Madison)

• Machine Learning Systems are Bloated and Vulnerable
  Huaifeng Zhang (Chalmers University of Technology); Mohannad Alhanahnah (University of Wisconsin-Madison); Fahmi Abdulqadir Ahmed, Dyako Fatih (Chalmers University of Technology); Philipp Leitner (Chalmers | University of Gothenburg); Ahmed Ali-Eldin (Chalmers University of Technology)
• Thorough Characterization and Analysis of Large Transformer Model Training At-Scale
  Scott Cheng, Jun-Liang Lin (Pennsylvania State University); Murali Emani, Siddhisanket Raskar, Sam Foreman (Argonne National Laboratory); Zhen Xie (Binghamton University); Venkatram Vishwanath (Argonne National Laboratory); Mahmut Kandemir (Pennsylvania State University)
• Kernel vs. User-Level Networking: Don't Throw Out the Stack With the Interrupts
  Peter Cai, Martin Karsten (University of Waterloo)
• HEAL: Performance Troubleshooting Deep Inside Data Center Hosts
  Yicheng Pan (Peking University); Yang Zhang (ByteDance Inc.); Tingzhu Bi (Peking University); Linlin Han, Yu Zhang (ByteDance Inc.); Meng Ma (Peking University); Xiangzhuang Shen (ByteDance Inc.); Xinrui Jiang (Peking University); Feng Wang, Xian Liu (ByteDance Inc.); Ping Wang (Peking University)

• Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
  Adam Lechowicz (University of Massachusetts Amherst); Nicolas Christianson (California Institute of Technology); Bo Sun (University of Waterloo); Noman Bashir (Massachusetts Institute of Technology); Mohammad Hajiesmaili (University of Massachusetts Amherst); Adam Wierman (California Institute of Technology); Prashant Shenoy (University of Massachusetts Amherst)
• The Online Pause and Resume Problem: Optimal Algorithms and an Application to Carbon-Aware Load Shifting
  Adam Lechowicz (University of Massachusetts Amherst); Nicolas Christianson (California Institute of Technology); Jinhang Zuo (Caltech & UMass Amherst); Noman Bashir (Massachusetts Institute of Technology); Mohammad Hajiesmaili (University of Massachusetts Amherst); Adam Wierman (California Institute of Technology); Prashant Shenoy (University of Massachusetts Amherst)
• CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency
  Walid A. Hanafy, Qianlin Liang (University of Massachusetts Amherst); Noman Bashir (Massachusetts Institute of Technology); David Irwin, Prashant Shenoy (University of Massachusetts Amherst)

• Optimized Cross-Path Attacks via Adversarial Reconnaissance
  Yudi Huang (Pennsylvania State University); Yilei Lin (Meta); Ting He (Pennsylvania State University)
• Who's Got My Back? Measuring the Adoption of an Internet-wide BGP RTBH Service
  Radu Anghel, Yury Zhauniarovich, Carlos Hernandez Ganan (Delft University of Technology)
• A Large Scale Study and Classification of VirusTotal Reports on Phishing and Malware URLs
  Euijin Choo (University of Alberta); Mohamed Nabeel (Palo Alto Networks); Doowon Kim (University of Tennessee, Knoxville); Ravindu De Silva (SCoRe Lab); Ting Yu (Qatar Computing Research Institute); Issa Khalil (Qatar Computing Research Institute (QCRI), HBKU)

• Online Allocation With Replenishable Budgets: Worst Case and Beyond
  Jianyi Yang, Pengfei Li (University of California, Riverside); Mohammad Jaminur Islam, Shaolei Ren (UC Riverside)
• Fair Resource Allocation in Virtualized O-RAN Platforms
  Fatih Aslan, George Iosifidis (TU Delft); Jose A. Ayala-Romero, Andres Garcia-Saavedra (NEC Laboratories Europe); Xavier Costa-Perez (NEC Laboratories Europe, i2CAT Foundation and ICREA)
• BONES: Near-Optimal Neural-Enhanced Video Streaming
  Lingdong Wang (University of Massachusetts Amherst); Simran Singh (North Carolina State University Raleigh, NC, USA); Jacob Chakareski (New Jersey Institute of Technolog); Mohammad Hajiesmaili (University of Massachusetts Amherst); Ramesh Sitaraman (UMass Amherst & Akamai Tech)

• Scalability Limitations of Processing-in-Memory Using Real System Evaluations
  Gilbert Jonatan, Haeyoon Cho, Hyojun Son, Xiangyu Wu (KAIST); Neal Livesay (Northeastern University); Evelio Mora (Universidad Católica de Murcia); Kaustubh Shivdikar (Northeastern University); José L. Abellán (Universidad de Murcia); Ajay Joshi (Boston University); David Kaeli (Northeastern University); John Kim (KAIST)
• GuaNary: Efficient Buffer Overflow Detection In Virtualized Clouds Using Intel EPT-based Sub-Page Write Protection Support
  Stella Bitchebe (McGill University); Yves Kone (IRIT); Pierre Olivier (The University of Manchester); Jalil Boukhobza (ENSTA Bretagne); Yérom-David Bromberg (University of Rennes, INRIA); Daniel Hagimont (University of Toulouse, Toulouse, France); Alain Tchana (Grenoble INP)
• H3DM: A High-bandwidth High-capacity Hybrid 3D Memory Design for GPUs
  Negar Akbarzadeh (Sharif University of Technology); Sina Darabi (Institute for Research in Fundamental Sciences (IPM)); Atiyeh Gheibi-Fetrat, Amir Mirzaei (Sharif University of Technology); Mohammad Sadrosadati (Institute for Research in Fundamental Sciences (IPM)); Hamid Sarbazi-Azad (Sharif University of Technology, Institute for Research in Fundamental Sciences (IPM))

The telecom industry has long relied on performance evaluation tools to gain insights into networking systems' behavior, design innovative solutions, and find optimal planning strategies and trade-offs among multiple objectives. As new technological challenges emerge, data-driven methodologies introduce a new dimension to the solutions available for accomplishing these tasks. In the panel discussion, leaders from some of the most representative companies in the sector will share their perspectives on the role that the scientific community in the field of performance evaluation can play in addressing emerging challenges in telecommunications technologies.

Panelists:

• Domenico Angotti, OpenFiber (Italy).
• Alberto Conte, Nokia (France).
• Andra Lutu, Telefonica (Spain).
• Renata Teixeira, Netflix (USA).

• Strategyproof Decision-Making in Panel Data Settings and Beyond
  Keegan Harris (CMU); Anish Agarwal (Columbia University); Chara Podimata (MIT); Steven Wu (CMU)
• When Should Prices Stay Fixed? On the Chances and Limitations of Spot Pricing in Larger Markets
  Ludwig Dierks (University of Illinois Chicago); Makoto Yokoo (Kyushu University)
• Continuous Query-based Data Trading
  Jin Cheng (The Chinese University of Hong Kong, Shenzhen); Ningning Ding (Northwestern University); Jianwei Huang (The Chinese University of Hong Kong, Shenzhen); John C.S. Lui (The Chinese University of Hong Kong)

• Shrinking VOD Traffic via Rényi-Entropic Optimal Transport
  Chi-Jen Roger Lo (University of Cambridge, UK); Mahesh K. Marina (The University of Edinburgh, UK); Nishanth Sastry (University of Surrey, UK); Kai Xu (MIT-IBM Watson AI Lab, USA); Saeed Fadaei (University of Surrey, UK); Yong Li (Tsinghua University, China)
• A Closer Look Into IPFS: Accessibility, Content, and Performance
  Ruizhe Shi, Ruizhi Cheng, Bo Han (George Mason University); Yue Cheng (University of Virginia); Songqing Chen (George Mason University)
• StarShip: Mitigating I/O Bottlenecks in Serverless Computing for Scientific Workflows
  Rohan Basu Roy, Devesh Tiwari (Northeastern University, USA)

• Network Fairness Ambivalence: When Does Diffusion Mitigate or Amplify Unfairness?
  Yiguang Zhang, Reetahan Mukhopadhyay, Augustin Chaintreau (Columbia University)
• Change Point Detection with Adaptive Measurement Schedules for Network Performance Verification
  Simon Lindståhl (Ericsson, KTH); Alexandre Proutiere (KTH); Andreas Johnsson (Ericsson, Uppsala University)
• NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation
  Xi Jiang, Shinan Liu (The University of Chicago); Aaron Gember-Jacobson (Colgate University); Arjun Nitin Bhagoji (University of Chicago); Paul Schmitt (University of Hawaii, Manoa / Invisv); Francesco Bronzino (Univ Lyon, EnsL, UCBL, CNRS, LIP); Nick Feamster (University of Chicago)

• Miracle or Mirage? A Measurement Study of NFT Rug Pulls
  Jintao Huang (Huazhong University of Science and Technology); Ningyu He (Peking University); Kai Ma, Jiang Xiao, Haoyu Wang (Huazhong University of Science and Technology)
• Towards Understanding and Characterizing the Arbitrage Bot Scam In the Wild
  Kai Li, Shixuan Guan, Darren Lee (San Diego State University)
• FedQV: Leveraging Quadratic Voting in Federated Learning
  Tianyue Chu, Nikolaos Laoutaris (IMDEA Networks Institute)

• Near-Optimal Stochastic Bin-Packing in Large Service Systems With Time-Varying Item Sizes
  Yige Hong (Carnegie Mellon University); Qiaomin Xie (University of Wisconsin-Madison); Weina Wang (Carnegie Mellon University)
• Distributed Speed Scaling in Large-Scale Service Systems
  Daan Rutten (Georgia Institute of Technology); Martin Zubeldia (University of Minnesota); Debankur Mukherjee (Georgia Institute of Technology)
• Server Saturation in Skewed Networks
  Diego Goldsztajn (Inria); Sem C. Borst (Eindhoven University of Technology (TU/e)); Johan S. H. van Leeuwaarden (Tilburg University)

• Nautilus: A Framework for Cross-Layer Cartography of Submarine Cables and IP Links
  Alagappan Ramanathan (University of California, Irvine); Sangeetha Abdu Jyothi (UC Irvine, VMware Research)
• Xaminer: An Internet Cross-Layer Resilience Analysis Tool
  Alagappan Ramanathan, Rishika Sankaran (University of California, Irvine); Sangeetha Abdu Jyothi (UC Irvine & VMware Research)
• A Hop Away From Everywhere: A View of the Intercontinental Long-Haul Infrastructure
  Esteban Carisimo, Caleb Wang (Northwestern University); Mia Weaver (University of Wisconsin-Madison); Fabián Bustamante (Northwestern U.); Paul Barford (University of Wisconsin - Madison)