Carlo Curino (Microsoft), Georgia Koutrika (Athena Research Center), Ravi Netravali (Princeton University)

Neeraja Yadwadkar (VMware Research and UT Austin)

Networking and Cloud: A Match Made in Heaven

Aditya Akella (UT Austin)

Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines

Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis (Stanford University)

Lorien: Efficient Deep Learning Workloads Delivery

Cody Hao Yu, Xingjian Shi, Haichen Shen, Zhi Chen, Mu Li, Yida Wang (Amazon Web Services, Inc)

Elastic Hyperparameter Tuning on the Cloud

Lisa Dunlap, Kirthevasan Kandasamy, Ujval Misra, Richard Liaw, Joesph Gonzalez, Ion Stoica, Michael Jordan (UC Berkeley)

Siren: Byzantine-robust Federated Learning via Proactive Alarming

Hanxi Guo (Shanghai Jiao Tong University), Hao Wang (Louisiana State University), Tao Song (Shanghai Jiao Tong University), Yang Hua (Queen's University Belfast, UK), Zhangcheng Lv (Huawei Technologies Co., Ltd.), Xiulang Jin (Huawei Technologies Co., Ltd.), Zhengui Xue (Shanghai Jiao Tong University), Ruhui Ma (Shanghai Jiao Tong University), Haibing Guan (Shanghai Jiao Tong University)

Automating instrumentation choices for performance problems in distributed applications with VAIF

Mert Toslali (Boston University), Emre Ates (Boston University), Alex Ellis (Tufts University), Zhaoqi Zhang (Tufts University), Darby Huye (Tufts University), Lan Liu (Tufts University), Samantha Puterman (Boston University), Ayse K. Coskun (Boston University), Raja R. Sambasivan (Tufts University)

tprof: Performance profiling via structural aggregation and automated analysis of distributed systems traces

Lexiang Huang, Timothy Zhu (The Pennsylvania State University)

Cloud-Scale Runtime Verification of Serverless Applications

Kalev Alpernas (Tel Aviv University), Aurojit Panda (NYU), Leonid Ryzhyk (VMware Research), Mooly Sagiv (Tel Aviv University)

Building Reliable Cloud Services Using Coyote Actors

Pantazis Deligiannis (Microsoft Research), Narayanan Ganapathy (Facebook), Akash Lal (Microsoft Research), Shaz Qadeer (Novi)

Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications

Francisco Romero (Stanford University), Gohar Irfan Chaudhry (Microsoft Research), Inigo Goiri (Microsoft Research), Pragna Gopa (Microsoft Azure), Paul Batum (Microsoft Azure), Neeraja Yadwadkar (Stanford University), Rodrigo Fonseca (Microsoft Research), Christos Kozyrakis (Stanford University), Ricardo Bianchini (Microsoft Research)

Atoll: A Scalable Low-Latency Serverless Platform

Arjun Singhvi (University of Wisconsin - Madison), Arjun Balasubramanian (Amazon Web Services), Kevin Houck (Amazon Web Services), Mohammed Danish Shaikh (Google), Shivaram Venkataraman (University of Wisconsin - Madison), Aditya Akella (UT Austin and Google)

Kraken : Adaptive Container Provisioning for Deploying Dynamic DAG applications in Serverless platforms

Vivek M. Bhasi, Jashwant Raj Gunasekaran, Prashanth Thinakaran, Cyan Subhra Mishra, Mahmut Taylan Kandemir, Chita Das (The Pennsylvania State University)

Mu: An Efficient, Fair and Responsive Serverless Framework for Resource-Constrained Edge Clouds

Viyom Mittal (University of California, Riverside), Shixiong Qi (University of California, Riverside), Ratnadeep Bhattacharya (George Washington University), Xiaosu Lyu (George Washington University), Junfeng Li (Tsinghua University), Sameer G Kulkarni (Indian Institute of Technology, Gandhinagar), Dan Li (Tsinghua University), Jinho Hwang (Facebook Inc.), K. K. Ramakrishnan (University of California, Riverside), Timothy Wood (George Washington University)

OneEdge: An Efficient Control Plane for Geo-Distributed Infrastructures

Enrique Saurez, Harshit Gupta, Alexandros Daglis, Umakishore Ramachandran (Georgia Institute of Technology)

Portkey: Adaptive Key-Value Placement over Dynamic Edge Networks

Joseph Noor (UCLA), Mani Srivastava (UCLA), Ravi Netravali (Princeton University)

Leveraging Data to Improve Cloud Services

Ranjita Bhagwan (Microsoft Research)

Trisk: Task-Centric Data Stream Reconfiguration

Yancan Mao, Yuan Huang, Runxin Tian, Xin Wang, Richard T. B. Ma (School of Computing, National University of Singapore)

Good Things Come to Those Who Wait: Optimizing Job Waiting in the Cloud

Pradeep Ambati, Noman Bashir, David Irwin, Prashant Shenoy (University of Massachusetts Amherst)

Mind the Gap: Broken Promises of CPU Reservations in Containerized Multi-tenant Clouds

Li Liu (George Mason University), Haoliang Wang (Adobe Research), An Wang (Case Western Reserve University), Mengbai Xiao (Shandong University), Yue Cheng (George Mason University), Songqing Chen (George Mason University)

George: Learning to Place Long-Lived Containers in Large Clusters with Operation Constraints

Suyi Li (Hong Kong University of Science and Technology), Luping Wang (Hong Kong University of Science and Technology, Alibaba Group), Wei Wang (Hong Kong University of Science and Technology), Yinghao Yu (Alibaba Group), Bo Li (Hong Kong University of Science and Technology)

Sayer: Using Implicit Feedback to Optimize System Policies

Mathias Lecuyer (University of British Columbia), Sang Hoon Kim (Columbia University), Mihir Nanavati (Twitter), Junchen Jiang (University of Chicago), Siddhartha Sen (Microsoft Research), Aleksandrs Slivkins (Microsoft Research), Amit Sharma (Microsoft Research)

Iter8: Online Experimentation in the Cloud

Mert Toslali (Boston University), Srinivasan Parthasarathy, Fabio Oliveira, Hai Huang (IBM Research), Ayse K. Coskun (Boston University)

Parallax: Hybrid Key-Value Placement in LSM-based Key-Value Stores

Giorgos Xanthakis (Univ. of Crete and FORTH, Greece), Giorgos Saloustros (ICS-FORTH, Greece), Nikos Batsaras, Anastasios Papagiannis, Angelos Bilas (Univ. of Crete and FORTH, Greece)

Provisioning Differentiated Last-Level Cache Allocations to VMs in Public Clouds

Mohammad Shahrad (University of British Columbia), Sameh Elnikety, Ricardo Bianchini (Microsoft Research)

OptDebug: Fault-Inducing Operation Isolation for Dataflow Applications

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

Falkirk Wheel: Rollback Recovery for Dataflow Systems

Ionel Gog (UC Berkeley), Michael Isard, Martín Abadi (Google Research)

Service-Level Fault Injection Testing

Christopher Meiklejohn, Andrea Estrada, Yiwen Song, Heather Miller, Rohan Padhye (Carnegie Mellon University)

Towards Reliable AI for Source Code Understanding (vision)

Sahil Suneja, Yunhui Zheng, Yufan Zhuang, Jim A. Laredo, Alessandro Morari (IBM Research)

John Wilkes (Google), Rodrigo Fonseca (Microsoft Research), Dilma Da Silva (TAMU), Akshitha Sriraman (CMU)

Latency-Aware Dynamic Server and Cooling Capacity Provisioner for Data Centers

Anuroop Desu, Udaya Puvvadi, Tyler Stachecki, Sagar Vishwakarma, Sadegh Khalili, Kanad Ghose, Bahgat G Sammakia (State University of New York, Binghamton)

Enabling Sustainable Clouds: The Case for Virtualizing the Energy System (vision)

Noman Bashir (University of Massachusetts Amherst), Tian Guo (Worcester Polytechnic Institute), Mohammad Hajiesmaili, David Irwin, Prashant Shenoy, Ramesh Sitaraman, Abel Souza (University of Massachusetts, Amherst), Adam Wierman (Caltech)

Visions Room - 28th floor

Accelerating the cloud with quantum

Krysta Svore (Microsoft)

Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis (BEST PAPER AWARD)

Shutian Luo (Shenzhen Institute of Advanced Technology, CAS; Univ. of Chinese Academy of Sciences; University of Macau), Huanle Xu (University of Macau), Chengzhi Lu (Shenzhen Institute of Advanced Technology, CAS; Univ. of Chinese Academy of Sciences), Kejiang Ye (Shenzhen Institute of Advanced Technology, CAS), Guoyao Xu, Liping Zhang, Yu Ding, Jian He (Alibaba Group), Chengzhong Xu (University of Macau)

SHOWAR: Right-Sizing And Efficient Scheduling of Microservices

Ata Fatahi, George Kesidis (Penn State University)

Parslo: A Gradient Descent-based Approach for Near-optimal Partial SLO Allotment in Microservices

Amirhossein Mirhosseini (University of Michigan), Sameh Elnikety (Microsoft Research), Thomas Wenisch (University of Michigan)

3MileBeach: A Tracer with Teeth

Jun Zhang, Robert Ferydouni, Aldrin Montana, Daniel Bittman, Peter Alvaro (UC Santa Cruz)

Heterogeneity and Dynamicity of Clouds at Scale: Google Trace Analysis (SoCC 2012)

Charles Reiss (UC Berkeley), Alexey Tumanov (CMU), Gregory R. Ganger (CMU), Randy Katz (UC Berkeley), Michael Kozuch (Intel Labs)

Version Reconciliation for Collaborative Databases

Nalin Ranjan (Princeton University), Zechao Shang (Snowflake Inc.), Sanjay Krishnan (University of Chicago), Aaron E. Elmore (University of Chicago)

Scaling Blockchains Using Pipelined Execution and Sparse Peers

Parth Thakkar, Senthilnathan Natarajan (IBM Research, India)

Fast and Accurate Optimizer for Query Processing over Knowledge Graphs

Jingqi Wu, Rong Chen, Yubin Xia (Shanghai Jiao Tong University)

Secure Namespaced Kernel Audit for Containers

Soo Yee Lim (University of British Columbia), Bogdan Stelea (University of Bristol), Xueyuan Han (Harvard University), Thomas Pasquier (University of British Columbia)

Lasagna: Accelerating Secure Deep Learning Inference in SGX-enabled Edge Cloud

Yuepeng Li (China University of Geosciences, Wuhan, China), Deze Zeng (China University of Geosciences, Wuhan, China), Lin Gu (Huazhong University of Science and Technology), Quan Chen (Shanghai Jiao Tong University), Song Guo (Hong Kong Polytechnic University), Albert Zomaya (The University of Sydney), Minyi Guo (Shanghai Jiao Tong University)

Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning

Chengliang Zhang (Hong Kong University of Science and Technology), Junzhe Xia (Hong Kong University of Science and Technology), Baichen Yang (Hong Kong University of Science and Technology), Huancheng Puyang (Hong Kong University of Science and Technology), Wei Wang (Hong Kong University of Science and Technology), Ruichuan Chen (Nokia Bell Labs), Istemi Ekin Akkus (Nokia Bell Labs), Paarijaat Aditya (Nokia Bell Labs), Feng Yan (University of Nevada, Reno)

The Future of Cloud Data: Challenges and Research Opportunities

Peter Bailis (Sisu Data)

Tell me when you are sleepy and what may wake you up! (vision)

Djob Mvondo (ICSA, University of Edinburgh), Antonio Barbalace (ICSA, University of Edinburgh), Alain Tchana (ENS Lyon, France), Gilles Muller (INRIA)

ServerMore: Opportunistic Execution of Serverless Functions in the Cloud

Amoghavarsha Suresh, Anshul Gandhi (Stony Brook University)

Speedo: Fast dispatch and orchestration of serverless workflows

Nilanjan Daw, Umesh Bellur, Purushottam Kulkarni (Indian Institute of Technology Bombay)

On Merits and Viability of Multi-Cloud Serverless (vision)

Ata Fatahi (Penn State University), George Kesidis (Penn State University), Carlee Joe-Wong (CMU), Mohammad Shahrad (University of British Columbia)

CHRONUS: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs

Wei Gao (School of Computer Science and Engineering, Nanyang Technological University; S-Lab, Nanyang Technological University),, Zhisheng Ye (Peking University), Peng Sun (SenseTime), Yonggang Wen (School of Computer Science and Engineering, Nanyang Technological University), Tianwei Zhang (School of Computer Science and Engineering, Nanyang Technological University)

Scrooge: A Cost-Effective Deep Learning Inference System

Yitao Hu, Rajrup Ghosh, Ramesh Govindan (University of Southern California)

Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving

Luping Wang (Hong Kong University of Science and Technology, Alibaba Group), Lingyun Yang (Hong Kong University of Science and Technology), Yinghao Yu (Alibaba Group), Wei Wang (Hong Kong University of Science and Technology), Bo Li (Hong Kong University of Science and Technology), Xianchao Sun (Alibaba Group), Jian He (Alibaba Group), Liping Zhang (Alibaba Group)

Clamor: Extending Functional Cluster Computing Frameworks with Fine-Grained Remote Memory Access

Pratiksha Thaker, Hudson Ayers, Deepti Raghavan, Ning Niu, Philip Levis, Matei Zaharia (Stanford University)

Raghu Ramakrishnan (Microsoft), Jennifer Rexford (Princeton), Hakim Weatherspoon (Cornell), Simon Peter (UT Austin), Fatma Ozcan (Google), Mehul Shah (Amazon)