Mumbai, India
June 6-10, 2022

Accepted Papers

Summer Deadline

  • Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve by Sean R. Sinclair (Cornell University), Siddhartha Banerjee (Cornell University), and Christina Lee Yu (Cornell University)
  • Dissecting Cloud Gaming Performance with DECAF by Hassan Iqbal (North Carolina State University), Ayesha Khalid (University of California Santa Cruz), and Muhammad Shahzad (North Carolina State University)
  • Competitive Algorithms for Online Multidimensional Knapsack Problems by Lin Yang (University of Massachusetts Amherst), Ali Zeynali (University of Massachusetts Amherst), Mohammad Hajiesmaili (University of Massachusetts Amherst), Ramesh Sitaraman (University of Massachusetts Amherst & Akamai Tech), and Don Towsley (University of Massachusetts Amherst)
  • Power of Bonus in Pricing for Crowdsourcings by Suho Shin (Line Plus), Hoyong Choi (KAIST), Yung Yi (KAIST), and Jungseul Ok (POSTECH)
  • Traffic Refinery: Cost-Aware Data Representation for Machine Learning on Network Traffic by Francesco Bronzino (Université Savoie Mont Blanc), Paul Schmitt (Information Sciences Institute), Sara Ayoubi (Nokia Bell Labs), Hyojoon Kim (Princeton University), Renata Teixeira (INRIA), and Nick Feamster (University of Chicago)
  • Understanding the Performance Guarantee of Physical Topology Design for Optical Circuit Switched Data Centers by Shizhen Zhao (Shanghai Jiao Tong University), Peirui Cao (Shanghai Jiao Tong University), and Xinbing Wang (Shanghai Jiao Tong University)
  • On Multivariate Singular Spectrum Analysis and its Variants by Anish Agarwal (MIT), Abdullah Alomar (MIT), and Devavrat Shah (MIT)
  • One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search by Bingqian Lu (University of California, Riverside), Jianyi Yang (University of California, Riverside), Weiwen Jiang (George Mason University), Yiyu Shi (University of Notre Dame), and Shaolei Ren (University of California, Riverside)
  • Online Caching Networks with Adversarial Guarantees by Yuanyuan Li (Northeastern University) Tareq SI SALEM (Université Côte d'Azur, INRIA) Stratis Ioannidis (Northeastern University), and Giovanni Neglia (INRIA)
  • Cerberus: The Power of Choices in Datacenter Topology Design - A Throughput Perspective by Chen Griner (Ben Gurion University, Israel), Johannes Zerwas (Technische Universität München), Andreas Blenk (Technische Universität München), Stefan Schmid (University of Vienna), Manya Ghobadi (MIT), and Chen Avin (Ben-Gurion University of the Negev, Israel)
  • YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy by Michalis Pachilakis (University of Crete / FORTH-ICS, Greece), Panagiotis Papadopoulos (Telefonica Research, Spain), Nikolaos Laoutaris (IMDEA Networks Institute, Spain), Evangelos P. Markatos (University of Crete / FORTH-ICS, Greece), and Nicolas Kourtellis (Telefonica Research, Spain)
  • Real-time Bidding for Time Constrained Impression Contracts in First and Second Price Auctions - Theory and Algorithms by Ryan Kinnear (University of Waterloo, Canada), Ravi R. Mazumdar (University of Waterloo, Canada), and Peter Marbach (University of Toronto, Canada)
  • Xatu: Richer Neural Network Based Prediction for Video Streaming by Yun Seong Nam (Purdue University/Google), Jianfei Gao (Purdue University), Chandan Bothra (Purdue University) Ehab Mohammad Ghabashneh (Purdue University), Sanjay Rao (Purdue University), Bruno Ribeiro (Purdue University), Jibin Zhan (Conviva), and Hui Zhang (Conviva)
  • Understanding the Practices of Global Censorship through Accurate, End-to-End Measurements by Lin Jin (University of Delaware), Shuai Hao (Old Dominion University), Haining Wang (Virginia Tech), and Chase Cotton (University of Delaware)
  • Trade or Trick? Detecting and Characterizing Scam Tokens on Uniswap Decentralized Exchange by Pengcheng Xia (Beijing University of Posts and Telecommunications), Haoyu Wang (Beijing University of Posts and Telecommunications), Bingyu Gao (Beijing University of Posts and Telecommunications), Weihang Su (Beijing University of Posts and Telecommunications), Zhou Yu (Beijing University of Posts and Telecommunications), Xiapu Luo (The Hong Kong Polytechnic University), Chao Zhang (Institute for Network Science and Cyberspace of Tsinghua University), Xusheng Xiao (Case Western Reserve University), and Guoai Xu (Beijing University of Posts and Telecommunications)
  • Tuxedo: Maximizing Smart Contract computation in PoW Blockchains by Sourav Das (UIUC), Nitin Awathare (Indian Institute of Technology Bombay), Ling Ren (UIUC), Vinay J. Ribeiro (Indian Institute of Technology Bombay), and Umesh Bellur (Indian Institute of Technology Bombay)
  • Offline and Online Algorithms for SSD Management by Tomer Lange (Technion - Israel Institute of Technology), Joseph (Seffi) Naor (Technion - Israel Institute of Technology), and Gala Yadgar (Technion - Israel Institute of Technology)

Fall Deadline

  • Data Convection: A GPU-Driven Case Study for Thermal-Aware Data Placement in 3D DRAMs by Soheil Khadirsharbiyani (Penn State, USA), Jagadish Kotra (AMD Research, USA), Karthik Rao (AMD Research, USA), and Mahmut Taylan Kandemir (Penn State, USA)
  • Fusing Speed Index during Web Page Loading by Wei Liu (Tsinghua University), Xinlei Yang (Tsinghua University), Hao Lin (Tsinghua University), Zhenhua Li (Tsinghua University), and Feng Qian (University of Minnesota - Twin Cities)
  • Age-Dependent Differential Privacy by Meng Zhang (Zhejiang University), Ermin Wei (Northwestern University), Randall Berry (Northwestern University), and Jianwei Huang (The Chinese University of Hong Kong, Shenzhen)
  • NG-Scope: Fine-Grained Telemetry for NextG Cellular Networks by Yaxiong Xie (Princeton University) and Kyle Jamieson (Princeton University)
  • Understanding I/O Direct Cache Access Performance for End Host Networking by Minhu Wang (Tsinghua University), Mingwei Xu (Tsinghua University), and Jianping Wu (Tsinghua University),
  • Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-in-Memory Architectures by Christina Giannoula (National Technical University of Athens), Ivan Fernandez (University of Malaga, Spain), Juan G√≥mez Luna (ETH Zurich), Nectarios Koziris (National Technical University of Athens, Greece), Georgios Goumas (National Technical University of Athens, Greece), and Onur Mutlu (ETH Zurich)
  • Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization by Zaiwei Chen (Georgia Institute of Technology), Shancong Mou (Georgia Institute of Technology), and Siva Theja Maguluri (Georgia Institute of Technology)
  • Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems by Varun Gupta (University of Chicago), Yuwei Luo (Stanford University), and Mladen Kolar (University of Chicago)
  • Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions by Tongxin Li (California Institute of Technology), Ruixiao Yang (Tsinghua University), Guannan Qu (Carnegie Mellon University), Guanya Shi (California Institute of Technology), Chenkai Yu (Columbia University), Adam Wierman (California Institute of Technology), and Steven Low (California Institute of Technology)
  • CachePerf: A Unified Cache Miss Classifier via Hybrid Hardware Sampling by Jin Zhou (University of Massachusetts Amherst), Steven (Jiaxun) Tang (University of Massachusetts Amherst), Hanmei Yang (University of Massachusetts Amherst), and Tongping Liu (University of Massachusetts Amherst)
  • A Comprehensive Empirical Study of Query Performance Across GPU DBMSes by Young-Kyoon Suh (Kyungpook National University), Junyoung An (Kyungpook National University), Byungchul Tak (Kyungpook National University), and Gap-Joo Na (ETRI)
  • Online Optimization with Feedback Delay and Nonlinear Switching Cost by Weici Pan (Stony Brook University), Guanya Shi (California Institute of Technology), Yiheng Lin (California Institute of Technology), and Adam Wierman (California Institute of Technology)
  • Data-Driven Network Path Simulation with iBox by Sachin Ashok (Microsoft Research India & University of Illinois at Urbana-Champaign), Shubham Tiwari (Microsoft Research India), Nagarajan Natarajan (Microsoft Research India), Venkata N. Padmanabhan (Microsoft Research India), and Sundararajan Sellamanickam (Microsoft Research India)
  • Memory Space Recycling by Jihyun Ryoo (Penn State University), Mahmut Taylan Kandemir (Penn State University), and Mustafa Karakoy (TUBITAK-BILGEM)
  • Metamorphic Testing of Deep Learning Compilers by Dongwei Xiao (Hong Kong University of Science and Technology), Zhibo LIU (Hong Kong University of Science and Technology), Yuanyuan Yuan (The Hong Kong University of Science and Technology), Qi Pang (The Hong Kong University of Science and Technology), and Shuai Wang (HKUST)
  • NURA: A Framework for Supporting Non-Uniform Resource Accesses in GPUs by Sina Darabi (Sharif University of Technology, Tehran, Iran), Negin Mahani (Sharif University of Technology, Tehran, Iran), Hazhir Baxishi (Sharif University of Technology, Tehran, Iran), Ehsan Yousefzadeh (Sharif University of Technology, Tehran, Iran), Mohammad Sadrosadati (Sharif University of Technology, Tehran, Iran), and Hamid Sarbazi-Azad (Sharif University of Technology, Tehran, Iran)
  • Large-System Insensitivity of Zero-Waiting Load Balancing Algorithms by Xin Liu (ShanghaiTech University), Kang Gong (University of Michigan, Ann Arbor), and Lei Ying (University of Michigan. Ann Arbor)
  • The First 5G-LTE Comparative Study in Extreme Mobility by Yueyang Pan (Peking University), Ruihan Li (Peking University), and Chenren Xu (Peking University)
  • Curvature-based Analysis of Network Connectivity in Private Backbone Infrastructures by Loqman Salamatian (Columbia University), Scott Anderson (University of Wisconsin - Madison), Joshua Matthews (University of Wisconsin - Madison), Paul Barford (University of Wisconsin - Madison), Walter Willinger (NIKSUN, Inc.), and Mark Crovella (Boston University)
  • Mean Field and Refined Mean Field Approximations for Heterogeneous Systems: It Works! by Sebastian Allmeier (INRIA) and Nicolas Gast (INRIA)
  • End-to-End Characterization of Game Streaming Applications on Mobile Platforms by Sandeepa Bhuyan (Pennsylvania State University), Shulin Zhao (Pennsylvania State University), Ziyu Ying (Pennsylvania State University), Mahmut Taylan Kandemir (Pennsylvania State University), and Chita Das (Pennsylvania State University)
  • Free2Shard: Adversary-resistant Distributed Resource Allocation for Blockchains by Ranvir Rana (UIUC), Sreeram Kannan (University of Washington Seattle), David Tse (Stanford), and Pramod Viswanath (UIUC)
  • Automatic Inference of BGP Location Communities by Brivaldo A. Silva Jr (UFMS), Paulo Mol (Universidade Federal de Minas Gerais), Osvaldo Fonseca (Universidade Federal de Minas Gerais), Italo Cunha (Universidade Federal de Minas Gerais), Ronaldo A. Ferreira (UFMS), and Ethan Katz-Bassett (Columbia University)
  • Argus: Predictable Millimeter-Wave Picocells with Vision and Learning Augmentation by Hem Regmi (University of South Carolina) and Sanjib Sur (University of South Carolina)
  • Differentially Private Reinforcement Learning with Linear Function Approximation by Xingyu Zhou (Wayne State University)

Winter Deadline

  • SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning by Lingda Li (Brookhaven National Laboratory), Santosh Pandey (Stevens Institute of Technology), Thomas Flynn (Brookhaven National Laboratory), Hang Liu (Stevens Institute of Technology), Noel Wheeler (Laboratory for Physical Sciences), and Adolfy Hoisie (Brookhaven National Laboratory)
  • WISEFUSE: Workload Characterization and DAG Transformation for Serverless Workflows by Ashraf Mahgoub (Purdue University), Edgardo Barsallo Yi (Purdue University), Karthick Shankar (Carnegie Mellon University), Eshaan Minocha (Purdue University), Somali Chaterji (Purdue University), Sameh Elnikety (Microsoft Research), and Saurabh Bagchi (Purdue University)
  • Learning To Maximize Welfare with a Reusable Resource by Matthew Faw (University of Texas at Austin), Orestis Papadigenopoulos (University of Texas at Austin), Constantine Caramanis (University of Texas at Austin), and Sanjay Shakkottai (University of Texas, Austin)
  • Expert-Calibrated Learning for Online Optimization with Switching Costs by Pengfei Li (University of California, Riverside), Jianyi Yang (University of California, Riverside), and Shaolei Ren (University of California, Riverside)
  • Prediction of the Resource Consumption of Distributed Deep Learning Systems by Gyeongsik Yang (Korea University), Changyong Shin (Korea University), Jeunghwan Lee (Korea University), Yeonho Yoo (Korea University), and Chuck Yoo (Korea University)
  • An Enterprise-Grade Open-Source Data Reduction Architecture for All-Flash Storage Systems by Mohammadamin Ajdari (HPDS Research & Sharif University of Technology), Patrick Raaf (Johannes Gutenberg University Mainz), Mostafa Kishani (Sharif University of Technology), Reza Salkhordeh (Johannes Gutenberg University Mainz), Hossein Asadi (Sharif University of Technology & Johannes Gutenberg University Mainz), and André Brinkmann (Johannes Gutenberg University Mainz)
  • Unleashing the Power of Paying Multiplexing Only Once in Stochastic Network Calculus by Anne Bouillard (Huawei Technologies France), Paul Nikolaus (Distributed Computer Systems (DISCO) Lab, TU Kaiserslautern, Germany), and Jens Schmitt (Distributed Computer Systems (DISCO) Lab, TU Kaiserslautern, Germany)
  • Asymptotic Convergence Rate of Dropout on Shallow Linear Neural Networks by Albert Senen-Cerda (Eindhoven University of Technology) and Jaron Sanders (Eindhoven University of Technology)
  • Monetizing Spare Bandwidth: the Case of Distributed VPNs by Yunming Xiao (Northwestern University), Matteo Varvello (Nokia Bell Labs), and Aleksandar Kuzmanovic (Northwestern University)
  • Hierarchical Learning Algorithms for Multi-scale Expert Problems by Lin Yang (University of Massachusetts Amherst), Yu-Zhen Chen (University of Massachusetts Amherst), Mohammad Hajiesmaili (University of Massachusetts Amherst), Mark Herbster (University College London), and Don Towsley (University of Massachusetts Amherst)
  • Toxicity in the Decentralized Web and the Potential for Model Sharing by Haris Bin Zia (Queen Mary University of London), Aravindh Raman (Telefonica Research), Ignacio Castro (Queen Mary University of London), Ishaku Anaobi (Queen Mary University of London) Emiliano De Cristofaro (University College London), Nishanth Sastry (University of Surrey, UK), and Gareth Tyson (Queen Mary University of London)
  • Competitive Online Optimization with Multiple Inventories: A Divide-and-Conquer Approach by Qiulin Lin (City University of Hong Kong), Yanfang Mo (City University of Hong Kong), Junyan Su (City University of Hong Kong), and Minghua Chen (City University of Hong Kong)
  • Dremel: Adaptive Configuration Tuning of RocksDB KV-Store by Chenxingyu Zhao (University of Washington), Tapan Chugh (University of Washington), Jaehong Min (University of Washington), Ming Liu (University of Wisconsin-Madison), and Arvind Krishnamurthy (University of Washington)
  • A Detailed Look at MIMO Performance in 60 GHz WLANs by Shivang Aggarwal (Northeastern University), Srisai Karthik Neelamraju (University at Buffalo), Ajit Bhat (University at Buffalo), and Dimitrios Koutsonikolas (Northeastern University)
  • Tensor Completion with Nearly Linear Samples Given Weak Side Information by Christina Lee Yu (Cornell University) and Xumei Xi (Cornell University)
  • MalRadar: Demystifying Android Malware in the New Era by Liu Wang (Beijing University of Posts and Telecommunications), Haoyu Wang (Huazhong University of Science and Technology), Ren He (Beijing University of Posts and Telecommunications), Ran Tao (Beijing University of Posts and Telecommunications), Guozhu Meng (SKLOIS, Institute of Information Engineering, Chinese Academy of Sciences, China), Xiapu Luo (The Hong Kong Polytechnic University), and Xuanzhe Liu (Peking University)
  • A Formalism of DNN Accelerator Flexibility by Sheng-Chun Kao (Georgia Institute of Technology), Hyoukjun Kwon (Georgia Institute of Technology), Michael Pellauer (NVIDIA), Angshuman Parashar (NVIDIA), and Tushar Krishna (Georgia Institute of Technology)