Rodrigo Fonseca (Microsoft Research, Brown University), Christina Delimitrou (Assistant Professor, Cornell University), Beng Chin Ooi (Distinguished Professor, National University of Singapore)

Serverless in Seattle: Toward Making Serverless the Future of the Cloud

Ricardo Bianchini (Lead, Systems Research Group, Microsoft Research)

Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing

Benjamin Carver (George Mason University), Jingyuan Zhang (George Mason University), Ao Wang (George Mason University), Ali Anwar (IBM Research–Almaden), Panruo Wu (University of Houston), Yue Cheng (George Mason University)

Particle: Ephemeral Endpoints for Serverless Networking

Shelby Thomas, Lixiang Ao, Geoffrey M. Voelker, George Porter (UC San Diego)

Characterizing Serverless Platforms with ServerlessBench

Tianyi Yu (Shanghai Jiao Tong University), Qingyuan Liu (Shanghai Jiao Tong University), Dong Du (Shanghai Jiao Tong University), Yubin Xia (Shanghai Jiao Tong University), Binyu Zang (Shanghai Jiao Tong University), Ziqian Lu (Ant Financial), Pingchao Yang (Ant Financial), Chenggang Qin (Ant Financial), Haibo Chen (Shanghai Jiao Tong University)

Photons: Lambdas on a diet

Vojislav Dukic, Rodrigo Bruno, Ankit Singla, Gustavo Alonso (ETH Zürich)

ByteSeries : An In-Memory Time Series Database for Large-Scale Monitoring Systems

Xuanhua Shi, Zezhao (Huazhong University of Science and Technology), Feng, Kaixi Li (Huazhong University of Science and Technology), Yongluan Zhou (University of Copenhagen), Hai Jin, Yan Jiang (Huazhong University of Science and Technology), Bingsheng He (National University of Singapore), Zhijun Ling, Xin Li (Bytedance Inc.)

A User-level Toolkit for Storage I/O Isolation on Multitenant Hosts

Giorgos Kappes, Stergios V. Anastasiadis (University of Ioannina)

BAOVERLAY: A Block-Accessible Overlay File System for Fast and Efficient Container Storage

Yu Sun, Jiaxin Lei, Seunghee Shin, Hui Lu (Binghamton University)

Challenges and Solutions for Fast Remote Persistent Memory Access (Best Paper Award)

Anuj Kalia (Microsoft Research), David Andersen (Carnegie Mellon University), Michael Kaminsky (BrdgAI, Carnegie Mellon University)

Improving the Accuracy, Adaptability, and Interpretability of SSD Failure Prediction Models

Chandranil Chakraborttii, Heiner Litz (University of California Santa Cruz)

Neeraja Yadwadkar (Stanford University), Arjun Singhvi (University of Wisconsin - Madison), Ana Klimovic (ETH Zurich), Sadjad Fouladi (Stanford University)

Leveraging Application Classes to Save Power in Highly-Utilized Data Centers

Kostis Kaffes (Stanford University), Dragos Sbirlea (Google LLC), Yiyan Lin (Google LLC), David Lo (Google LLC), Christos Kozyrakis (Stanford University)

Peafowl: In-application CPU Scheduling to Reduce Power Consumption of In-memory Key-Value Stores

Esmail Asyabi (Boston University), Azer Bestavros (Boston University), Erfan Sharafzadeh (Johns Hopkins University), Timothy Zhu (The Pennsylvania State University)

High availability in cheap distributed key value storage

Thomas Kim, Daniel Lin-Kit Wong, Gregory R. Ganger, Michael Kaminsky, David G. Andersen (Carnegie Mellon Univ)

Feifei Li (President of Database Systems, Alibaba)

Concury: A Fast and Light-weight Software Cloud Load Balancer

Shouqian Shi (University of California, Santa Cruz), Ye Yu (Google), Minghao Xie (University of California, Santa Cruz), Xin Li (Google), Xiaozhou Li (Celer Network), Ying Zhang (Facebook), Chen Qian (University of California, Santa Cruz)

Bypassing the Load Balancer Without Regrets

Marios Kogias, Rishabh Iyer, Edouard Bugnionn (EPFL)

Finding the Right Cloud Configuration for Analytics Clusters

Muhammad Bilal (UCLouvain and IST(ULisboa)/INESC-ID), Marco Canini (KAUST), Rodrigo Rodrigues (IST(ULisboa)/INESC-ID)

Shahram Ghandeharizadeh (Director of the USC Database Laboratory, USC)

Gosig: A Scalable and High-Performance Byzantine Consensus System for Consortium Blockchains on Wide Area Network

Peilun Li (Tsinghua University), Guosai Wang (Tsinghua University), Xiaoqi Chen (Princeton University), Fan Long (University of Toronto), Wei Xu (Tsinghua University)

Shrec: Bandwidth-Efficient Transaction Relay in High-Throughput Blockchain Systems

Yilin Han (Shanghai Tree-Graph Blockchain Research Institute), Chenxing Li (Tsinghua University), Peilun Li (Tsinghua University), Ming Wu (Shanghai Tree-Graph Blockchain Research Institute), Dong Zhou (Tsinghua University), Fan Long (University of Toronto)

Making Edge-Computing Resilient

Yotam Harchol (EPFL), Aisha Mushtaq (UC Berkeley), Vivian Fang (UC Berkeley), James McCauley (UC Berkeleyi, ICSI), Aurojit Panda (NYU), Scott Shenker (UC Berkeley, ICSI)

Specializing the network for scatter-gather workloads

Catalina Alvarez, Zhenhao He, Gustavo Alonso, Ankit Singla (ETH Zürich)

Security and Sharing in Data Lake with AWS Lake Formation

Nellie Gustafsson (Microsoft)

Limitless end-to-end analytics powered by Azure Synapse

Nellie Gustafsson (Microsoft)

Introduction to PolarDB: Alibaba Cloud Native Database

Xinjun(Jimmy) Yang (Alibaba)

Serverless Linear Algebra

Vaishaal Shankar (UC Berkeley), Karl Krauth (UC Berkeley), Kailas Vodrahalli (Stanford), Qifan Pu (Google), Ion Stoica (UC Berkeley), Ben Recht (UC Berkeley), Jonathan Ragan-Kelley (MIT CSAIL), Eric Jonas (University of Chicago), Shivaram Venkataraman (University of Wisconsin-Madison)

SNF: Serverless Network Functions

Arjun Singhvi (University of Wisconsin-Madison), Junaid Khalid (Google), Aditya Akella (University of Wisconsin-Madison), Sujata Banerjee (VMware Research)

Sequoia: Enabling Quality-of-Service in Serverless Computing

Ali Tariq, Austin Pahl, Sharat Nimmagadda, Eric Rozner, Siddharth Lanka (University of Colorado Boulder)

Kappa: A Programming Framework for Serverless Computing

Wen Zhang (UC Berkeley), Vivian Fang (UC Berkeley), Aurojit Panda (NYU), Scott Shenker (UC Berkeley/ICSI)

Juliana Freire (NYU)

HangFix: Automatically Fixing Software Hang Bugs for Production Cloud Systems

Jingzhu He (North Carolina State University), Ting Dai (IBM Research), Xiaohui Gu (North Carolina State University), Guoliang Jin (North Carolina State University)

Automatically Detecting Risky Scripts in Infrastructure Code

Ting Dai (IBM Research), Alexei Karve (IBM Research), Grzegorz Koper (IBM GTS), Sai Zeng (IBM Research)

Influence-Based Provenance for Dataflow Applications with Taint Propagation

Jason Teoh (UCLA), Muhammad Ali Gulzar (Virginia Tech), Miryung Kim (UCLA)

T-Lease: A Trusted Lease Primitive for Distributed Systems

Bohdan Trach (TU Dresden), Rasha Faqeh (TU Dresden), Oleksii Oleksenko (TU Dresden), Wojciech Ozga (TU Dresden), Pramod Bhatotia (TU Munich), Christof Fetzer (TU Dresden)

PaGraph: Scaling GNN Training on Large Graphs via Computation-aware Caching

Zhiqi Lin (University of Science and Technology of China), Cheng Li, Youshan Miao (Microsoft Research), Yunxin Liu (Microsoft Research), Yinlong Xu

Baechi: Fast Device Placement of Machine Learning Graphs

Beomyeol Jeon (University of Illinois at Urbana-Champaign), Linda Cai (Princeton University), Pallavi Srivastava (Microsoft), Jintao Jiang (University of California), Xiaolan Ke (University of Illinois at Urbana-Champaign), Yitao Meng (University of Illinois at Urbana-Champaign), Cong Xie (University of Illinois at Urbana-Champaign), Indranil Gupta (University of Illinois at Urbana-Champaign)

Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments

Chen Chen (HKUST), Qizhen Weng (HKUST), Wei Wang, Baochun Li (University of Toronto), Bo Li (HKUST)

Network-accelerated Distributed Machine Learning for Multi-Tenant Settings

Raajay Viswanathan (Uber Technologies Inc), Arjun Balasubramanian (Amazon Web Services), Aditya Akella (University of Wisconsin-Madison)

Babak Falsafi (EPFL), Stanko Novakovic (Microsoft), Heiner Litz (UC Santa Cruz), Trevor E. Carlson (National University of Singapore)

Vessels: Efficient and Scalable Deep Learning Prediction on Trusted Processors

Kyungtae Kim (Purdue University), Chung Hwan Kim (University of Texas at Dallas), John Junghwan Rhee (University of Central Oklahoma), Xiao Yu (NEC Laboratories America), Haifeng Chen (NEC Laboratories America), Dave Tian (Purdue University), Byoungyoung Lee (Seoul National University)

InferLine: Latency-Aware Provisioning and Scaling for Prediction Serving Pipelines

Daniel Crankshaw (Microsoft Research), Gur-Eyal Sela (UC Berkeley), Xiangxi Mo (UC Berkeley, Anyscale), Corey Zumar (Databricks), Ion Stoica (UC Berkeley, Anyscale), Joseph Gonzalez (UC Berkeley), Alexey Tumanov (Georgia Tech)

GSLICE: Controlled Spatial Sharing of GPUs for a Scalable Inference Platform

Aditya Dhakal (University of California), Sameer G Kulkarni (IIT, Gandhinagar), K.K. Ramakrishnan (University of California)

Elastic Parameter Server Load Distribution in Deep Learning Clusters

Yangrui Chen (The University of Hong Kong), Yanghua Peng (The University of Hong Kong), Yixin Bao (The University of Hong Kong), Chuan Wu (The University of Hong Kong), Yibo Zhu (ByteDance Inc.), Chuanxiong Guo (ByteDance Inc.)