(for attendees staying at Chaminade)

Sponsored by Google Cloud Platform

(for attendees staying at Chaminade)

Raghu Ramakrishnan (Microsoft)

Narrowing the Gap Between Serverless and its State with Storage Functions

Tian Zhang, Dong Xie, Feifei Li, Ryan Stutsman (University of Utah)

Cirrus: a Serverless Framework for End-to-end ML Workflows

Joao Carreira (UC Berkeley), Pedro Fonseca (Purdue University), Alexey Tumanov, Andrew Zhang, Randy Katz (UC Berkeley)

Cartel: A System for Collaborative Transfer Learning at the Edge

Harshit Daga (Georgia Institute of Technology), Patrick Nicholson (Nokia Bell Labs), Ada Gavrilovska (Georgia Institute of Technology), Diego Lugones (Nokia Bell Labs)

Seamless Offloading of Web App Computations From Mobile Device to Edge Clouds via HTML5 Web Worker Migration

Hyuk-Jin Jeong, Chang Hyun Shin, Kwang Yong Shin, Hyeon-Jae Lee, Soo-Mook Moon (Seoul National University)

Sponsored by Microsoft

BigDL: A Distributed Deep Learning Framework for Big Data

Jinquan Dai (Intel), Yiheng Wang (Tencent), Xin Qiu (Intel), Ding Ding (Intel), Yao Zhang (Sequoia Capital), Yanzhang Wang (Intel), Xianyan Jia (Alibaba), Li Zhang (Intel), Yan Wan (Alibaba), Zhichao Li (Intel), Jiao Wang (Intel), Shengsheng Huang (Intel), Zhongyuan Wu (Intel), Yang Wang (Intel), Yuhao Yang (Intel), Bowen She (Intel), Dongjie Shi (Intel), Qi Lu (Intel), Kai Huang (Intel), Guoqiong Song (Intel)

HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline

Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Alexey Tumanov, Joseph Gonzalez, Ion Stoica (UC Berkeley)

Matrix Profile XIV: Scaling Time Series Motif Discovery with GPUs to Break a Quintillion Pairwise Comparisons a Day and Beyond

Zachary Zimmerman, Kaveh Kamgar, Nader Shakibay Senobari, Yan Zhu, Brian Crites, Gareth Funning, Philip Brisk, Eamonn Keogh (University of California, Riverside)

Grasper: A High Performance Distributed System for OLAP on Property Graphs

Hongzhi Chen, Changji Li, Juncheng Fang, Chenghuan Huang, James Cheng, Jian Zhang, Yifan Hou, Xiao Yan (The Chinese University of Hong Kong)

Matei Zaharia (Stanford, Databricks)

Hotspot Mitigations for the Masses

Fabien Hermenier, Aditya Ramesh, Abhinay Nagpal, Himanshu Shukla, Ramesh Chandra (Nutanix)

DCUDA: Dynamic GPU Scheduling with Live Migration Support

Fan Guo, Yongkun Li (University of Science and Technology of China), John C. S. Lui (The Chinese University of Hong Kong), Yinlong Xu (University of Science and Technology of China)

BurScale: Using Burstable Instances for Cost-Effective Autoscaling in the Public Cloud

Ataollah Fatahi Baarzi, Timothy Zhu, Bhuvan Urgaonkar (The Pennsylvania State University)

Characterizing and Synthesizing Task Dependencies of Data-Parallel Jobs in Alibaba Cloud

Huangshi Tian, Yunchuan Zheng, Wei Wang (HKUST)

MME-FaaS Cloud-Native Control for Mobile Networks

Sonika Jindal, Robert Ricci (University of Utah)

Centralized Core-granular Scheduling for Serverless Functions

Kostis Kaffes, Neeraja Yadwadkar (Stanford University), Christos Kozyrakis (Stanford University, Google)

An Automated, Cross-layer Instrumentation Framework for Diagnosing Performance Problems in Distributed Applications

Emre Ates (Boston University), Lily Sturmann (RedHat, Inc.), Mert Toslali, Orran Krieger (Boston University), Richard Megginson (RedHat, Inc.), Ayse K. Coskun (Boston University), Raja R. Sambasivan (Tufts University)

A System-Wide Debugging Assistant Powered by Natural Language Processing

Pradeep Dogga (UCLA), Karthik Narasimhan (Princeton University), Anirudh Sivaraman (NYU), Ravi Netravali (UCLA)

(for attendees staying at Chaminade)

Vote Them Out: Detecting and Eliminating Byzantine Peers

Tuan Tran, Priyanka Mondal, Roy Shadmon, Manthan Mallikarjun, Peter Alvaro, Owen Arden

Practical Cloud Workloads for Serverless FaaS

Jeongchul Kim, Kyungyong Lee

Accordia: Adaptive Cloud Configuration Optimization for Recurring Data-Intensive Applications

Yang Liu, Huanle Xu, Wing Cheong Lau

SplitServe: Efficiently Splitting Complex Workloads Across FaaS and IaaS

Aman Jain, Ata F. Baarzi, Nader Alfares, George Kesidis, Bhuvan Urgaonkar, Mahmut Kandemir

Extending Kmeans to Cluster Mixed Geo & Non-Geo Data in BigQuery

Xi Cheng, Mingge Deng, Jiaxun Wu, Amir Hormati (Google)

Fast Distributed Transactions at Scale for DynamoDB

Akshat Vig, Doug Terry, Jaso Sorenson, Somu Perianayagam (Amazon AWS), Stefano Stefani, Tony Petrossian

Big Data Processing at Microsoft: Hyper Scale, Massive Complexity, and Minimal Cost

Hiren Patel, Alekh Jindal, Clemens Szyperski (Microsoft)

(for attendees staying at Chaminade)

Sarah Guo (Greylock Partners)

Perceptual Compression for Video Storage and Processing Systems

Amrita Mazumdar, Brandon Haynes, Magda Balazinska, Luis Ceze, Alvin Cheung, Mark Oskin (University of Washington)

pRedis: Penalty and Locality Aware Memory Allocation in Redis

Cheng Pan, Yingwei Luo, Xiaolin Wang (Peking University), Zhenlin Wang (Michigan Tech)

Acorn: Aggressive Result Caching in Distributed Data Processing Frameworks

Lana Ramjit (UCLA), Matteo Interlandi (Microsoft), Eugene Wu (Columbia University), Ravi Netravali (UCLA)

RapidCDC: Leveraging Duplicate Locality to Accelerate Chunking in CDC-based Deduplication Systems

Fan Ni (University of Texas, Arlington), Song Jiang (University of Texas at Arlington)

Sponsored by Amazon Web Services

NEPTUNE: Scheduling Suspendable Tasks for Unified Stream/Batch Applications

Panagiotis Garefalakis (Imperial College London), Konstantinos Karanasos (Microsoft), Peter Pietzuch (Imperial College London)

Pigeon: an Effective Distributed, Hierarchical Datacenter Job Scheduler

Zhijun Wang, Huiyang Li, Zhongwei Li (The University of Texas at Arlington), Xiaocui Sun (Guangdong Pharmaceutical University), Jia Rao, Hao Che, Hong Jiang (The University of Texas at Arlington)

Pufferfish: Container-driven Elastic Memory Management for Data-intensive Applications

Wei Chen, Aidi Pi, Shaoqi Wang, Xiaobo Zhou (University of Colorado, Colorado Springs)

Scavenger: A Black-Box Batch Workload Resource Manager for Improving Utilization in Cloud Environments

Seyyed Ahmad Javadi, Amoghavarsha Suresh, Muhammad Wajahat, Anshul Gandhi (Stony Brook University)

Raluca Ada Popa (UC Berkeley)

Repeatable Oblivious Shuffling of Large Outsourced Data Blocks

Zhilin Zhang, Ke Wang, Weipeng Lin (Simon Fraser University), Ada Wai-Chee Fu (The Chinese University of Hong Kong), Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)

WormSpace: A Modular Foundation for Simple, Verifiable Distributed Systems

Ji-Yong Shin, Jieung Kim, Wolf Honore, Hernan Vanzetto (Yale University), Srihari Radhakrishnan (Duke University), Mahesh Balakrishnan (Yale University / Facebook), Zhong Shao (Yale University)

Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering

Pedro Las-Casas, Giorgi Papakerashvili, Vaastav Anand, Jonathan Mace (MPI-SWS)

HP-Mapper: A High Performance Storage Driver for Docker Containers

Fan Guo, Yongkun Li, Min Lv, Yinlong Xu (University of Science and Technology of China), John C. S. Lui (The Chinese University of Hong Kong)

Software Data Planes: You Cannot Always Spin to Win

Hossein Golestani, Amirhossein Mirhosseini, Thomas Wenisch (University of Michigan)

Composing SDN Controller Enhancements with Mozart

Zhenyu Zhou (Duke University), Theophilus A. Benson (Brown University)

Libra and the Art of Task Sizing in Big-Data Analytic Systems

Rui Li, Peizhen Guo, Bo Hu, Wenjun Hu (Yale University)

(for attendees staying at Chaminade)

(for attendees staying at Chaminade)

Award talk by Brian Cooper (Google)

Coupling Decentralized Key-Value Stores with Erasure Coding

Liangfeng Cheng, Yuchong Hu (Huazhong University of Science and Technology), Patrick P. C. Lee (The Chinese University of Hong Kong)

Agni: An Efficient Dual-access File System over Object Storage

Kunal Lillaney (Johns Hopkins University), Vasily Tarasov, David Pease (IBM Research - Almaden), Randal Burns (Johns Hopkins University)

Analysis of and Optimization for Write-dominated Hybrid Storage Nodes in Cloud

Shuyang Liu, Shucheng Wang, Qiang Cao, Ziyi Lu (Huazhong University of Science and Technology), Hong Jiang (UT Arlington), Jie Yao (Huazhong University of Science and Technology), Yuanyuan Dong, Puyuan Yang (Alibaba)

Peregrine: Workload Optimization for Cloud Query Engines

Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan (Microsoft)

Reverb: Speculative Debugging for Web Applications

Ravi Netravali (UCLA), James Mickens (Harvard University)

Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms

Liqun Shao, Yiwen Zhu (Microsoft Corp.), Siqi Liu (University of Pittsburgh), Abhiram Eswaran, Kristin Lieber, Janhavi Mahajan, Minsoo Thigpen, Sudhir Darbha (Microsoft Corp.), Subru Krishnan (Microsoft), Soundar Srinivasan (Microsoft Corp.), Carlo Curino, Konstantinos Karanasos (Microsoft)

TagSniff: Simplified Big Data Debugging for Dataflow Jobs

Bertty Contreras (QCRI), Jorge Quiane (QCRI and TU Berlin), Zoi Kaoudi (QCRI and TU Berlin), Saravanan Thirumuruganathan (QCRI)

PerfDebug: Performance Debugging of Computation Skew in Dataflow Systems

Jason Teoh, Muhammad Ali Gulzar, Guoqing Harry Xu, Miryung Kim (UCLA)