NSDI '19 Poster Session and Reception

Accepted Posters

The following posters will be presented at the Poster Session and Reception on Wednesday, February 27, 6:30 pm–8:00 pm.

Pushing the Range Limits of Commercial Passive RFIDs
Jingxian Wang, Carnegie Mellon University; Junbo Zhang, Tsinghua University; Rajarshi Saha, IIT Kharagpur; Haojian Jin and Swarun Kumar, Carnegie Mellon University

JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs
Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, DongJin Shin, and Byung-Gon Chun, Seoul National University

Exploiting Commutativity For Practical Fast Replication
Seo Jin Park and John Ousterhout, Stanford University

Size-aware Sharding For Improving Tail Latencies in In-memory Key-value Stores
Diego Didona, EPFL; Willy Zwaenepoel, EPFL and University of Sydney

Datacenter RPCs can be General and Fast
Anuj Kalia, Carnegie Mellon University; Michael Kaminsky, Intel Labs; David Andersen, Carnegie Mellon University

Towards Programming the Radio Environment with Large Arrays of Inexpensive Antennas
Zhuqi Li, Princeton University

CAUDIT: Continuous Auditing of SSH-Servers To Mitigate Brute-Force Attacks
Phuong Cao, UIUC

SIMON: A Simple and Scalable Method for Sensing, Inference and Measurement in Data Center Networks
Yilong Geng, Shiyu Liu, and Zi Yin, Stanford University; Ashish Naik, Google Inc.; Balaji Prabhakar and Mendel Rosenblum, Stanford University; Amin Vahdat, Google Inc.

Hydra: a federated resource manager for data-center scale analytics
Carlo Curino, Subru Krishnan, and Konstantinos Karanasos, Microsoft; Sriram Rao, Facebook; Giovanni M. Fumarola, Botong Huang, Kishore Chaliparambil, Arun Suresh, Young Chen, Solom Heddaya, Roni Burd, Sarvesh Sakalanaga, Chris Douglas, Bill Ramsey, and Raghu Ramakrishnan, Microsoft

Performance Contracts for Software Network Functions
Rishabh Iyer, Luis Pedrosa, Arseniy Zaostrovnykh, Solal Pirelli, Katerina Argyraki, and George Candea, EPFL

Shinjuku: Preemptive Scheduling for μsecond-scale Tail Latency
Kostis Kaffes, Timothy Chong, and Jack Tigar Humphries, Stanford University; Adam Belay, Massachusetts Institute of Technology; David Mazières and Christos Kozyrakis, Stanford University

Is advance knowledge of flow sizes a plausible assumption?
Vojislav Dukic, ETH Zurich; Sangeetha Abdu Jyothi, University of Illinois at Urbana–Champaign; Bojan Karlas, Muhsen Owaida, Ce Zhang, and Ankit Singla, ETH Zurich

Many-to-Many Beam Alignment in Millimeter Wave Networks
Suraj Jog, Jiaming Wang, Junfeng Guan, Thomas Moon, Haitham Hassanieh, and Romit Roy Choudhury, UIUC

Loom: Flexible and Efficient NIC Packet Scheduling
Brent Stephens, UIC; Aditya Akella and Michael Swift, UW-Madison

A Fast Multi-pattern Regex Matcher for Modern CPUs
Xiang Wang, Yang Hong, and Harry Chang, Intel Corporation; KyoungSoo Park, KAIST; Geoff Langdale, branchfree.org; Jiayu Hu and Heqing Zhu, Intel Corporation

Shenango: Achieving High CPU Efficiency for Latency-sensitive Datacenter Workloads
Amy Ousterhout, Joshua Fried, Jonathan Behrens, Adam Belay, and Hari Balakrishnan, MIT CSAIL

Monoxide: Scale Out Blockchain with Asynchronous Consensus Zones
Jiaping Wang, Sinovation Ventures; Hao Wang, The Ohio State University

Stardust: Divide and Conquer in the Data Center Network
Noa Zilberman, University of Cambridge; Gabi Bracha and Golan Schzukin, Broadcom

FlowBlaze: Stateful Packet Processing in Hardware
Salvatore Pontarelli, Axbryd, CNIT; Roberto Bifulco, NEC Laboratories Europe; Marco Bonola, Axbryd, CNIT; Carmelo Cascone, Open Networking Foundation; Marco Spaziani and Valerio Bruschi, CNIT, University of Rome Tor Vergata; Davide Sanvito, Politecnico di Milano; Giuseppe Siracusano, NEC Laboratories Europe; Antonio Capone, Politecnico di Milano; Michio Honda and Felipe Huici, NEC Laboratories Europe; Giuseppe Bianchi and Angelo Tulumello, CNIT, University of Rome Tor Vergata

SweepSense: Sensing 5 Ghz in 5 ms
Yeswanth Reddy Guddeti and Moein Khazraee, UC San Diego; Raghav Subbaraman, IIT Madras; Dinesh Bharadia and Aaron Schulman, UC San Diego

Localizing Router Configuration Errors Using Unsatisfiable Cores
Ruchit Shrestha, Xiaolin Sun, and Aaron Gember-Jacobson, Colgate University

Latency-driven cluster scheduling
Diana Andreea Popescu and Andrew W. Moore, University of Cambridge

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications
Peifeng Yu and Mosharaf Chowdhury, University of Michigan

Accelerating Distributed Reinforcement Learning with In-Switch Computing
Youjie Li, Yifan Yuan, Iou-Jen Liu, Deming Chen, Alexander Schwing, and Jian Huang, University of Illinois at Urbana-Champaign

HyperFaaS: A Truly Elastic Serverless Computing Framework
Jingyuan Zhang and Ao Wang, George Mason University; Min Li and Yuan Chen, JD.com Silicon Valley R&D Center; Yue Cheng, George Mason University

DeepEdge: A Network Edge for Deep Learning Workloads
Rahul Anand Sharma, Carnegie Mellon University; Ranveer Chandra, Microsoft Research

Eiffel: Efficient and Flexible Software Packet Scheduling
Ahmed Saeed and Yimeng Zhao, Georgia Institute of Technology; Nandita Dukkipati, Google; Mostafa Ammar and Ellen Zegura, Georgia Institute of Technology; Khaled Harras, Carnegie Mellon University; Amin Vahdat, Google

Alembic: Automated Model Inference for Stateful Network Functions
Soo-Jin Moon, Carnegie Mellon University; Jeffrey Helt, Princeton University; Yifei Yuan, Intentionet; Yves Bieri, ETH Zurich; Sujata Banerjee, VMware Research; Vyas Sekar, Carnegie Mellon University; Wenfei Wu, Tsinghua University; Mihalis Yannakakis, Columbia University; Ying Zhang, Facebook

Alleviating the Network Bottleneck for CNN Distributed Training through Automatic Resource-Aware Layer Placement
Jay H. Park, Sunghwan Kim, Jinwon Lee, Myeongjae Jeon, and Sam H. Noh, UNIST

Capacity Scaling on Self-Organizing Wireless Mesh Networks
Sergio Gramacho and Avani Wildani, Emory University

Flashield: a Hybrid Key-value Cache that Controls Flash Write Amplification
Assaf Eisenman, Stanford University; Asaf Cidon, Stanford University and Barracuda Networks; Evgenya Pergament and Or Haimovich, Stanford University; Ryan Stutsman, University of Utah; Mohammad Alizadeh, MIT CSAIL; Sachin Katti, Stanford University

Biscotti: A Ledger for Private and Secure Peer to Peer Machine Learning
Muhammad Shayan, Clement Fung, Chris J.M. Yoon, and Ivan Beschastnikh, University of British Columbia

Towards Enabling All Feasible Latency-Cost Tradeoffs in Geo-Distributed Storage
Muhammed Uluyol, Anthony Huang, Ayush Goel, Mosharaf Chowdhury, and Harsha V. Madhyastha, University of Michigan

Metaflow: A DAG-Based Network Abstraction for Distributed Applications
Jiawei Fei and Yang Shi, National University of Defense Technology; Qun Huang, Institute Of Computing Technology, CAS; Mei Wen, National University of Defense Technology

End-to-end I/O Monitoring on a Leading Supercomputer
Bin Yang, Shandong University, National Supercomputing Center in Wuxi; Xu Ji, Tsinghua University, National Supercomputing Center in Wuxi; Xiaosong Ma, Qatar Computing Research institute; Xiyang Wang, National Supercomputing Center in Wuxi; Tianyu Zhang and Xiupeng Zhu, Shandong University, National Supercomputing Center in Wuxi; Nosayba El-Sayed, Emory University; Haidong Lan and Yibo Yang, Shandong University; Jidong Zhai, Tsinghua University; Weiguo Liu, Shandong University, National Supercomputing Center in Wuxi; Wei Xue, Tsinghua University, National Supercomputing Center in Wuxi

3D Backscatter Localization for Fine-Grained Robotics
Zhihong Luo, Qiping Zhang, Yunfei Ma, Manish Singh, and Fadel Adib, MIT Media Lab

No DNN Left Behind: Improving Inference in the Cloud with Multi-Tenancy
Amit Samanta, Suhas Shrinivasan, Antoine Kaufmann, and Jonathan Mace, Max Planck Institute for Software Systems

Slim: OS Kernel Support for a Low-Overhead Container Overlay Network
Danyang Zhuo and Kaiyuan Zhang, University of Washington; Yibo Zhu, Microsoft Research; Hongqiang Harry Liu, Alibaba; Matthew Rockett, Arvind Krishnamurthy, and Thomas Anderson, University of Washington

Cutting Packet Fat in Shallow VNF Chain Processing
Swati Goswami, Nodir Kodirov, and Ivan Beschastnikh, University of British Columbia

A User-level Framework for Proxy-based Multi-user Multi-context Multipath Transmission
Yunzhe Ni, Taide Liu, and Chenren Xu, Peking University; Feng Qian, University of Minnesota - Twin Cities

Shoal: A Network Architecture for Disaggregated Racks
Vishal Shrivastav, Cornell University; Asaf Valadarsky, Hebrew University of Jerusalem; Hitesh Ballani and Paolo Costa, Microsoft Research; Ki Suh Lee, Waltz Networks; Han Wang, Barefoot Networks; Rachit Agarwal and Hakim Weatherspoon, Cornell University

NFShield: Securing NIC-Accelerated Network Functions in the Cloud
Yang Zhou and Junzhi Gong, Harvard University; Omid Alipourfard, Yale University; James Mickens and Minlan Yu, Harvard University

Model-Agnostic and Efficient Exploration of Numerical State Space of Real-World TCP Congestion Control Implementations
Wei Sun and Lisong Xu, UNL; Sebastian Elbaum, University of Virgina; Di Zhao, UNL

Building a foundation for heterogeneous sensors in spectrum measurement infrastructures
Karyn Doke and Mariya Zheleva, University at Albany, SUNY

Taming Linux Containers for Safety-Critical Real-Time Systems
Jiyang Chen, Jiyong Yu, Sayed Hadi Hashemi, and Lui Sha, University of Illinois at Urbana-Champaign

5GCoreLite: Scalable and Resource Efficient Next Generation Cellular Packet Core
Vasudevan Nagendra, Arani Bhattacharya, Anshul Gandhi, and Samir R Das, Stony Brook University

Object Tracking with Battery-free WiFi-RFID Tags
Elahe Soltanaghaei, University of Virginia; Bodhi Priyantha, Microsoft Research; Kamin Whitehouse, University of Virginia

DETER: Deterministic TCP Replay for Performance Diagnosis
Yuliang Li, Harvard University; Rui Miao, Alibaba Group; Mohammad Alizadeh, Massachusetts Institute of Technology; Minlan Yu, Harvard University