NSDI '24 Poster Session and Reception

Accepted Posters

The following posters will be presented at the Poster Session and Reception on Wednesday, April 17, 6:30 pm–8:00 pm.

Unpublished Work

Posters of unpublished research.

SchedMate: Large Language Models are DL Scheduling Enhancers
Zerui Wang, Shanghai Jiao Tong University; Qinghao Hu, Nanyang Technological University; Ana Klimovic, ETH Zurich; Xingcheng Zhang and Peng Sun, Shanghai AI Laboratory

Quality-Aware Prompt Scheduling for Efficient Text-to-Image Inference Serving
Shubham Agarwal, Saud Iqbal, and Subrata Mitra, Adobe Research

Enhancing Kubernetes Integration with Autonomous System Routing: Leveraging BGP for Scalability and Resilience
Tushar Gupta

Zero Buffer Optical Packet Switching Data Center Network
Shawn Shuoshuo Chen, Carnegie Mellon University; Weiyang Wang and Manya Ghobadi, Massachusetts Institute of Technology; Srinivasan Seshan and Peter Steenkiste, Carnegie Mellon University

Transformer-based Predictions for Sudden Network Changes
Siddhant Ray, Xi Jiang, Zhuohan Gu, Junchen Jiang, and Nick Feamster, University of Chicago

DDB: Interactive Debugger for Distributed Systems
Yibo Yan, Junzhou He, Omkar Kulkarni, and Seo Jin Park, University of Southern California

RHONE: A Testbed for Satellite Computing and Networking with Awareness of Space Conditions
Liying Wang, Qing Li, Tianze Huang, and Chenren Xu, Peking University

Towards Carrier-Free Near-Field Communication via Modulated Johnson Noise
Bill Yen and Zerina Kapetanovic, Stanford University

Pinpointing Misconfigurations of Distributed Applications via Log Analysis with Deep Learning Models
Eungu Kwon, Youyang Kim, and Byungchul Tak, Kyungpook National University

Towards More Economical Context-Augmented LLM Generation by Reusing Stored KV Cache
Hanchen Li, Yuhan Liu, Yihua Cheng, Kuntai Du, and Junchen Jiang, University of Chicago

AdaBridge: Dynamic Data and Computation Reuse for Efficient Multi-task DNN Co-evolution in Edge Systems
Lehao Wang, Northwestern Polytechnical University; Zhiwen Yu, Northwestern Polytechnical University and Harbin Engineering University; Sicong Liu, Northwestern Polytechnical University; Chenshu Wu, The University of Hong Kong; Xiangrui Xu and Bin Guo, Northwestern Polytechnical University

Optimizing Traffic in Public-Facing Data Centers Amid Internet Protocols
Sen Lin, Northwestern University; Jianfeng Wang, University of Southern California; Aleksandar Kuzmanovic, Northwestern University

Rapid Resource Allocation for Multi-Band Optical Network with ISRS Effect Using Quantum Ising Machine
Miao Zhu, Rentao Gu, Jiangshan Dong, Xiaoya Zhang, Lin Bai, and Yuefeng Ji, Beijing University of Posts and Telecommunications

When Parallel Permissioned Blockchain Meets Network Congestion in Datacenters
Tao Tong, Qingkai Meng, Ziyang Zheng, Shan Zhang, Zhiyuan Wang, and Hongbin Luo, Beihang University

Published Work

Posters of papers published at NSDI '24.

Pudica: Toward Near-Zero Queuing Delay in Congestion Control for Cloud Gaming
Shibo Wang, Xi’an Jiaotong University and Tencent Inc.; Shusen Yang, Xi'an Jiaotong University; Xiao Kong, Chenglei Wu, and Longwei Jiang, Tencent; Chenren Xu, Peking University; Cong Zhao, Xi'an Jiaotong University; Xuesong Yang, Bonree; Jianjun Xiao and Xin Liu, Tencent; Changxi Zheng, Pixel Lab, Tencent America, and Columbia University; Jing Wang and Honghao Liu, Tencent

Making Kernel Bypass Practical for the Cloud with Junction
Joshua Fried and Gohar Irfan Chaudhry, MIT CSAIL; Enrique Saurez, Esha Choukse, and Íñigo Goiri, Azure Research – Systems; Sameh Elnikety, Microsoft Research; Rodrigo Fonseca, Azure Research – Systems; Adam Belay, MIT CSAIL

BBQ: A Fast and Scalable Integer Priority Queue for Hardware Packet Scheduling
Nirav Atre, Hugo Sadok, and Justine Sherry, Carnegie Mellon University

LiFteR: Unleash Learned Codecs in Video Streaming with Loose Frame Referencing
Bo Chen, University of Illinois at Urbana-Champaign; Zhisheng Yan, George Mason University; Yinjie Zhang, Zhe Yang, and Klara Nahrstedt, University of Illinois at Urbana-Champaign

Characterization of Large Language Model Development in the Datacenter
Qinghao Hu, Shanghai AI Laboratory and S-Lab, Nanyang Technological University; Zhisheng Ye, Shanghai AI Laboratory and Peking University; Zerui Wang, Shanghai AI Laboratory and Shanghai Jiao Tong University; Guoteng Wang, Shanghai AI Laboratory; Meng Zhang and Qiaoling Chen, Shanghai AI Laboratory and S-Lab, Nanyang Technological University; Peng Sun, Shanghai AI Laboratory and SenseTime Research; Dahua Lin, Shanghai AI Laboratory and CUHK; Xiaolin Wang and Yingwei Luo, Peking University; Yonggang Wen and Tianwei Zhang, Nanyang Technological University

MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Ziheng Jiang and Haibin Lin, ByteDance; Yinmin Zhong, Peking University; Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, and Jianxi Ye, ByteDance; Xin Jin, Peking University; Xin Liu, ByteDance

CHISEL: An optical slice of the wide-area network
Abhishek Vijaya Kumar, Cornell University; Bill Owens, NYSERnet; Nikolaj Bjørner, Binbin Guan, Yawei Yin, and Paramvir Bahl, Microsoft; Rachee Singh, Cornell University

Towards provably performant congestion control
Anup Agarwal, Carnegie Mellon University; Venkat Arun, University of Texas at Austin; Devdeep Ray, Ruben Martins, and Srinivasan Seshan, Carnegie Mellon University

Sprinter: Speeding Up High-Fidelity Crawling of the Modern Web
Ayush Goel and Jingyuan Zhu, University of Michigan; Ravi Netravali, Princeton University; Harsha V. Madhyastha, University of Southern California

Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances
Jiangfei Duan, The Chinese University of Hong Kong; Ziang Song, ByteDance; Xupeng Miao and Xiaoli Xi, Carnegie Mellon University; Dahua Lin, The Chinese University of Hong Kong; Harry Xu, University of California, Los Angeles; Minjia Zhang, Microsoft; Zhihao Jia, Carnegie Mellon University

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
Gagan Somashekar, Stony Brook University; Karan Tandon and Anush Kini, Microsoft Research; Chieh-Chun Chang and Petr Husak, Microsoft; Ranjita Bhagwan, Google; Mayukh Das, Microsoft365 Research; Anshul Gandhi, Stony Brook University; Nagarajan Natarajan, Microsoft Research

THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
Minghao Li, Harvard University; Ran Ben Basat, University College London; Shay Vargaftik, VMware Research; ChonLam Lao, Kevin Xu, Michael Mitzenmacher, and Minlan Yu, Harvard University

SIEVE is Simpler than LRU: an Efficient Turn-Key Eviction Algorithm for Web Caches
Yazhuo Zhang, Emory University; Juncheng Yang, Carnegie Mellon University; Yao Yue, Pelikan Foundation; Ymir Vigfusson, Emory University and Keystrike; K.V. Rashmi, Carnegie Mellon University

EdgeRIC: Empowering Real-time Intelligent Optimization and Control in NextG Cellular Networks
Woo-Hyun Ko, Texas A&M University; Ushasi Ghosh, University of California San Diego; Ujwal Dinesha, Texas A&M University; Raini Wu, University of California San Diego; Srinivas Shakkottai, Texas A&M University; Dinesh Bharadia, University of California San Diego

Automatic Parallelization of Software Network Functions
Francisco Pereira, Fernando M. V. Ramos, and Luis Pedrosa, INESC-ID, Instituto Superior Técnico, University of Lisbon

NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security
Kevin Hsieh, Microsoft; Mike Wong, Princeton University and Microsoft; Santiago Segarra, Microsoft and Rice University; Sathiya Kumaran Mani, Trevor Eberl, and Anatoliy Panasyuk, Microsoft; Ravi Netravali, Princeton University; Ranveer Chandra and Srikanth Kandula, Microsoft

Sidekick: In-Network Assistance for Secure End-to-End Transport Protocols
Gina Yuan, Matthew Sotoudeh, and David K. Zhang, Stanford University; Michael Welzl, University of Oslo; David Mazières and Keith Winstein, Stanford University

Klonet: an Easy-to-Use and Scalable Platform for Computer Networks Education
Tie Ma, Long Luo, and Hongfang Yu, University of Electronic Science and Technology of China; Xi Chen, Southwest Minzu University; Jingzhao Xie, Chongxi Ma, Yunhan Xie, Gang Sun, and Tianxi Wei, University of Electronic Science and Technology of China; Li Chen, Zhongguancun Laboratory; Yanwei Xu and Nicholas Zhang, Theory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Co., Ltd.