NSDI '19 Accepted Papers

NSDI '19 offers authors the choice of two submission deadlines. The list of accepted papers from the spring submissions is available below. The full program, including papers from both the spring and fall submissions, will be available in December.

List of Accepted Papers from Spring Submissions

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

NetBouncer: Active Device and Link Failure Localization in Data Center Networks
Cheng Tan, NYU; Ze Jin, Cornell University; Chuanxiong Guo, Bytedance Inc; Tianrong Zhang, Microsoft; Haitao Wu, Google; Karl Deng, Dongming Bi, and Dong Xiang, Microsoft

FreeFlow: Software-based Virtual RDMA Networking for Containerized Clouds
Daehyeok Kim and Tianlong Yu, Carnegie Mellon University; Hongqiang Harry Liu, Alibaba; Yibo Zhu, Jitu Padhye, and Shachar Raindel, Microsoft; Chuanxiong Guo, Bytedance; Vyas Sekar and Srinivasan Seshan, Carnegie Mellon University

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

Direct Universal Access: Enabling Data Center Resource Pooling for FPGAs
Ran Shu and Peng Cheng, Microsoft Research; Guo Chen, Microsoft Research & Hunan University; Zhiyuan Guo, Microsoft Research & Beihang University; Lei Qu and Yongqiang Xiong, Microsoft Research; Derek Chiou and Thomas Moscibroda, Microsoft

Deniable Upload and Download via Passive Participation
David Sommer, Aritra Dhar, and Esfandiar Mohammadi, ETH Zurich; Daniel Ronzani, Ronzani Schlauri Attorneys; Srdjan Capkun, ETH Zurich

Minimal Rewiring: Efficient Live Expansion for Clos Data Center Networks
Shizhen Zhao, Rui Wang, Junlan Zhou, Joon Ong, Jeffrey C. Mogul, and Amin Vahdat, Google, Inc.

Correctness and Performance for Stateful Chained NFs
Junaid Khalid and Aditya Akella, University of Wisconsin - Madison

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

dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network Packet Traces
Da Yu, Brown University; Yibo Zhu and Behnaz Arzani, Microsoft; Rodrigo Fonseca, Brown University; Tianrong Zhang, Karl Deng, and Lihua Yuan, Microsoft

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

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, CNIT/University of Rome Tor Vergata

Confluo: Distributed Monitoring and Diagnosis Stack for High-speed Networks
Anurag Khandelwal, UC Berkeley; Rachit Agarwal, Cornell University; Ion Stoica, UC Berkeley

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

NetScatter: Enabling Large-Scale Backscatter Networks
Mehrdad Hessar, Ali Najafi, and Shyamnath Gollakota, University of Washington

Riverbed: Enforcing User-defined Privacy Constraints in Distributed Web Services
Frank Wang, MIT; Ronny Ko and James Mickens, Harvard University

BLAS-on-flash : An Efficient Alternative for Large Scale ML Training and Inference?
Suhas Jayaram Subramanya and Harsha Vardhan Simhadri, Microsoft Research; Srajan Garg, IIT Bombay; Anil Kag and B Venkatesh, Microsoft Research

Zeno: Diagnosing Performance Problems with Temporal Provenance
Yang Wu, Facebook; Ang Chen, Rice University; Linh Thi Xuan Phan, University of Pennsylvania

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