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)
MME-FaaS Cloud-Native Control for Mobile Networks
Sonika Jindal, Robert Ricci (University of Utah)
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)
Hotspot Mitigations for the Masses
Fabien Hermenier, Aditya Ramesh, Abhinay Nagpal, Himanshu Shukla, Ramesh Chandra (Nutanix)
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)
Characterizing and Synthesizing Task Dependencies of Data-Parallel Jobs in Alibaba Cloud
Huangshi Tian, Yunchuan Zheng, Wei Wang (HKUST)
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)
Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering
Pedro Las-Casas, Giorgi Papakerashvili, Vaastav Anand, Jonathan Mace (MPI-SWS)
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)
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)
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)
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)
BurScale: Using Burstable Instances for Cost-Effective Autoscaling in the Public Cloud
Ataollah Fatahi Baarzi, Timothy Zhu, Bhuvan Urgaonkar (The Pennsylvania State University)
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)
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)
NEPTUNE: Scheduling Suspendable Tasks for Unified Stream/Batch Applications
Panagiotis Garefalakis (Imperial College London); Konstantinos Karanasos (Microsoft); Peter Pietzuch (Imperial College London)
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)
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)
Reverb: Speculative Debugging for Web Applications
Ravi Netravali (UCLA); James Mickens (Harvard University)
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)
Centralized Core-granular Scheduling for Serverless Functions
Kostis Kaffes, Neeraja Yadwadkar (Stanford University); Christos Kozyrakis (Stanford University, Google)
Libra and the Art of Task Sizing in Big-Data Analytic Systems
Rui Li, Peizhen Guo, Bo Hu, Wenjun Hu (Yale University)
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)
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)
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)
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)
Pufferfish: Container-driven Elastic Memory Management for Data-intensive Applications
Wei Chen (University of Colorado, Colorado Springs); Aidi Pi (University of Colorado Colorado Springs); Shaoqi Wang, Xiaobo Zhou (University of Colorado, Colorado Springs)
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)
Software Data Planes: You Can't Always Spin to Win
Hossein Golestani, Amirhossein Mirhosseini, Thomas Wenisch (University of Michigan)
A System-Wide Debugging Assistant Powered by Natural Language Processing
Pradeep Dogga (UCLA); Karthik Narasimhan (Princeton University); Anirudh Sivaraman (NYU); Ravi Netravali (UCLA)
Acorn: Aggressive Result Caching in Distributed Data Processing Frameworks
Lana Ramjit (UCLA); Matteo Interlandi (Microsoft); Eugene Wu (Columbia University); Ravi Netravali (UCLA)
Narrowing the Gap Between Serverless and its State with Storage Functions
Tian Zhang, Dong Xie, Feifei Li, Ryan Stutsman (University of Utah)
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)
Composing SDN Controller Enhancements with Mozart
Zhenyu Zhou (Duke University); Theophilus A. Benson (Brown University)
Peregrine: Workload Optimization for Cloud Query Engines
Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan (Microsoft)
