University of Michigan Central Campus - venue for ACM SIGMETRICS 2026

ACM SIGMETRICS 2026

Ann Arbor, Michigan, USA
June 8-12, 2026

Accepted Papers

Summer Deadline

  • From Measurement to Emissions: Assessing the Carbon Footprint of Traffic Flows
    Sawsan El-Zahr, Noa Zilberman (University of Oxford)
  • Shedding Light on Shadows: Automatically Tracing Illicit Money Flows on EVM-Compatible Blockchains
    Yicheng Huo (Zhejiang University); Yufeng Hu (City University of Hong Kong); Yajin Zhou (Zhejiang University); Ting Yu (Mohamed bin Zayed University of Artificial Intelligence); Lei Wu (Zhejiang University); Cong Wang (City University of Hong Kong)
  • Anchor: Reducing Temporal and Spatial Output Performance Variability on Quantum Computers
    Yuqian Huo, Daniel Leeds, Jason Z. Ludmir, Nicholas S. DiBrita, Tirthak Patel (Rice University)
  • Better than Optimal: Improving Adaptive Stochastic Quantization Using Shared Randomness
    Ran Ben Basat (University College London and Broadcom); Yaniv Ben-Itzhak (Broadcom); Michael Mitzenmacher (Harvard University); Shay Vargaftik (Broadcom)
  • Learning with Episodic Hypothesis Testing in General Games: A Framework for Equilibrium Selection
    Ruifan Yang (Cornell University); Manxi Wu (University of California Berkeley)
  • Exploring the 5G Digital Divide in the Non-Contiguous US: LEO Satellites to the Rescue?
    Sizhe Wang, Moinak Ghoshal, Yufei Feng, Imran Khan, Phuc Dinh (Northeastern University); Omar Basit (Purdue University); Zhekun Yu (Northeastern University); Y. Charlie Hu (Purdue University); Dimitrios Koutsonikolas (Northeastern University)
  • Sequential Fair Allocation With Replenishments: A Little Envy Goes An Exponentially Long Way
    Chido Onyeze (Cornell University); Sean R. Sinclair (Northwestern University); Chamsi Hssaine (University of Southern California, Marshall School of Business); Siddhartha Banerjee (Cornell University)
  • Optimizing Storage Overhead of User Behavior Log for ML-embedded Mobile Apps
    Chen Gong, Yan Zhuang, Zhenzhe Zheng (Shanghai Jiao Tong University); Yiliu Chen, Sheng Wang (ByteDance); Fan Wu, Guihai Chen (Shanghai Jiao Tong University)
  • Benchmarking and Characterization of Large Language Model Inference on Apple Silicon
    Afsara Benazir, Felix Xiaozhu Lin (University of Virginia)
  • ScaleQsim: Highly Scalable Quantum Circuit Simulation Framework for Exascale HPC Systems
    Changjong Kim, Ehan Sohn, Seunghwan Kim (Seoul National University of Science and Technology); Alex Sim, Kesheng Wu, Houjun Tang (Lawrence Berkeley National Laboratory); Yongseok Son (Chung-Ang University); Sunggon Kim (Seoul National University of Science and Technology)
  • Three Birds with One Stone: Improving Performance, Convergence, and System Throughput with NEST
    Yuqian Huo, David Quiroga, Anastasios Kyrillidis, Tirthak Patel (Rice University)
  • Pittacus: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
    Shashwat Jaiswal (University of Illinois Urbana-Champaign, USA); Kunal Jain (Microsoft); Yogesh Simmhan (Indian Institute of Science (IISc), Bangalore); Anjaly Parayil (Microsoft Research); Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal (Microsoft); Victor Rühle (Microsoft Research); Anoop Kulkarni, Steve Kofsky (Microsoft); Saravan Rajmohan (Microsoft 365)
  • Optimal Scheduling Algorithms for LLM Inference: Theory and Practice
    Agrim Bari, Parikshit Hegde, Gustavo de Veciana (The University of Texas at Austin)
  • Enabling Reliable Network Management with Large Language Models
    Yajie Zhou (University of Maryland); Kevin Hsieh, Sathiya Kumaran Mani (Microsoft Research); Srikanth Kandula (Amazon Web Services); Zaoxing Liu (University of Maryland)
  • Beyond Single-Tokenomics: How Farcaster’s Pluralistic Incentives Reshape Social Networking
    Wen Yang, Qiming Ye (Hong Kong University of Science and Technology (Guangzhou)); Onur Ascigil (Lancaster University); Saidu Sokoto (City St George’s, University of London); Leonhard Balduf (TU Darmstadt); Michał Król (City St George’s, University of London); Gareth Tyson (Hong Kong University of Science and Technology (Guangzhou))
  • Heterogeneous Multi-agent Multi-armed Bandit on Stochastic Block Models
    Mengfan Xu (University of Massachusetts Amherst); Liren Shan (Toyota Technological Institute at Chicago); Fatemeh Ghaffari, Xuchuang Wang (University of Massachusetts Amherst); Xutong Liu (Carnegie Mellon University); Mohammad Hajiesmaili (University of Massachusetts Amherst)
  • A Tale of Two Traffics: Optimizing Tail Latency in the Light-Tailed M/G/k
    George Yu, Amit Harlev, Reevu Adakroy, Ziv Scully (Cornell University)
  • The Impact of IP Version on Household Internet Speed: A Comparative Study
    Amanda Hsu (Georgia Institute of Technology); Nick Feamster (University of Chicago); Paul Pearce, Frank Li (Georgia Institute of Technology)
  • Outperforming Multiserver SRPT at All Loads
    Izzy Grosof, Daniela Hurtado Lange (Northwestern University)
  • ObliQ: Solving Quadratic Unconstrained Binary Optimization Problems on Real Photonic Quantum Machines
    Aditya Ranjan, Daniel Silver (Northeastern University); Tirthak Patel (Rice University); Bhargav Chickmagalurnanjun, Devesh Tiwari (Northeastern University)
  • Cross-Chain Arbitrage: The Next Frontier of MEV in Decentralized Finance
    Burak Öz (Technical University of Munich); Christof Ferreira Torres (INESC-ID / Instituto Superior Técnico (IST), University of Lisbon); Christoph Schlegel, Bruno Mazorra (Flashbots); Jonas Gebele, Filip Rezabek, Florian Matthes (Technical University of Munich)
  • Multiple Sides of 36 Coins: Measuring Peer-to-Peer Infrastructure Across Cryptocurrencies
    Lucianna Kiffer (IMDEA Networks); Lioba Heimbach, Yann Vonlanthen (ETH Zurich); Dennis Trautwein (University of Göttingen); Oliver Gasser (IPinfo)
  • μ-VF: Enabling Virtualization of Embedded FPGAs
    Vincenzo Bucaria, Francesco Longo, Giovanni Merlino (University of Messina); Francesco Restuccia (Northeastern University)