Go to Thursday Poster Session and Reception
Wednesday Poster Session and Happy Hour
The following posters will be presented during the Poster Session and Happy Hour on Wednesday, July 10, 2019, from 6:00 pm–7:30 pm.
The Design and Operation of CloudLab
Dmitry Duplyakin, Robert Ricci, Aleksander Maricq, Gary Wong, Jonathon Duerig, Eric Eide, Leigh Stoller, Mike Hibler, David Johnson, and Kirk Webb, University of Utah; Aditya Akella, University of Wisconsin—Madison; Kuangching Wang, Clemson University; Glenn Ricart, US Ignite; Larry Landweber, University of Wisconsin—Madison; Chip Elliott, Raytheon; Michael Zink and Emmanuel Cecchet, University of Massachusetts Amherst; Snigdhaswin Kar and Prabodh Mishra, Clemson University
Everyone Loves File: File Storage Service (FSS) in Oracle Cloud Infrastructure
Bradley C. Kuszmaul, Matteo Frigo, Justin Mazzola Paluska, and Alexander (Sasha) Sandler, Oracle Corporation
Zanzibar: Google’s Consistent, Global Authorization System
Ruoming Pang, Ramon Caceres, Mike Burrows, Zhifeng Chen, Pratik Dave, Nathan Germer, Alexander Golynski, Kevin Graney, and Nina Kang, Google; Lea Kissner, Humu, Inc.; Jeffrey L. Korn, Google; Abhishek Parmar, Carbon, Inc.; Christina D. Richards and Mengzhi Wang, Google
IASO: A Fail-Slow Detection and Mitigation Framework for Distributed Storage Services
Biswaranjan Panda and Deepthi Srinivasan, Nutanix Inc.; Huan Ke, University of Chicago; Karan Gupta and Vinayak Khot, Nutanix Inc.; Haryadi S. Gunawi, University of Chicago
PARTISAN: Scaling the Distributed Actor Runtime
Christopher S. Meiklejohn and Heather Miller, Carnegie Mellon University; Peter Alvaro, UC Santa Cruz
Unleashing the Power of Learning: An Enhanced Learning-Based Approach for Dynamic Binary Translation
Changheng Song, Fudan University; Wenwen Wang, Pen-Chung Yew, and Antonia Zhai, University of Minnesota; Weihua Zhang, Fudan University
Transactuations: Where Transactions Meet the Physical World
Aritra Sengupta, Tanakorn Leesatapornwongsa, and Masoud Saeida Ardekani, Samsung Research; Cesar A. Stuardo, University of Chicago
Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code
Abhinav Jangda, Bobby Powers, Emery D. Berger, and Arjun Guha, University of Massachusetts Amherst
Extension Framework for File Systems in User space
Ashish Bijlani and Umakishore Ramachandran, Georgia Institute of Technology
FlexGroup Volumes: A Distributed WAFL File System
Ram Kesavan, Google; Jason Hennessey, Richard Jernigan, Peter Macko, Keith A. Smith, Daniel Tennant, and Bharadwaj V. R., NetApp
EROFS: A Compression-friendly Readonly File System for Resource-scarce Devices
Xiang Gao, Huawei Technologies Co., Ltd.; Mingkai Dong, Shanghai Jiao Tong University; Xie Miao, Wei Du, and Chao Yu, Huawei Technologies Co., Ltd.; Haibo Chen, Shanghai Jiao Tong University / Huawei Technologies Co., Ltd.
QZFS: QAT Accelerated Compression in File System for Application Agnostic and Cost Efficient Data Storage
Xiaokang Hu and Fuzong Wang, Shanghai Jiao Tong University, Intel Asia-Pacific R&D Ltd.; Weigang Li, Intel Asia-Pacific R&D Ltd.; Jian Li and Haibing Guan, Shanghai Jiao Tong University
Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies
Youngseok Yang and Jeongyoon Eo, Seoul National University; Geon-Woo Kim, Viva Republica; Joo Yeon Kim, Samsung Electronics; Sanha Lee, Naver Corp.; Jangho Seo, Won Wook Song, and Byung-Gon Chun, Seoul National University
Tangram: Bridging Immutable and Mutable Abstractions for Distributed Data Analytics
Yuzhen Huang, Xiao Yan, Guanxian Jiang, Tatiana Jin, James Cheng, An Xu, Zhanhao Liu, and Shuo Tu, The Chinese University of Hong Kong
STRADS-AP: Simplifying Distributed Machine Learning Programming without Introducing a New Programming Model
Jin Kyu Kim and Abutalib Aghayev, Carnegie Mellon University; Garth A. Gibson, Carnegie Mellon University, Vector Institute, University of Toronto; Eric P. Xing, Petuum Inc, Carnegie Mellon University
SOPHIA: Online Reconfiguration of Clustered NoSQL Databases for Time-Varying Workloads
Ashraf Mahgoub, Purdue University; Paul Wood, Johns Hopkins University; Alexander Medoff, Purdue University; Subrata Mitra, Adobe Research; Folker Meyer, Argonne National Lab; Somali Chaterji and Saurabh Bagchi, Purdue University
libmpk: Software Abstraction for Intel Memory Protection Keys (Intel MPK)
Soyeon Park, Georgia Institute of Technology; Sangho Lee, Microsoft Research; Wen Xu, Georgia Institute of Technology; Hyungon Moon, Ulsan National Institute of Science and Technology; Taesoo Kim, Georgia Institute of Technology
Effective Static Analysis of Concurrency Use-After-Free Bugs in Linux Device Drivers
Jia-Ju Bai, Tsinghua University; Julia Lawall, Sorbonne Université/Inria/LIP6; Qiu-Liang Chen and Shi-Min Hu, Tsinghua University
LXDs: Towards Isolation of Kernel Subsystems
Vikram Narayanan, University of California, Irvine; Abhiram Balasubramanian, Charlie Jacobsen, Sarah Spall, Scott Bauer, and Michael Quigley, University of Utah; Aftab Hussain, Abdullah Younis, Junjie Shen, Moinak Bhattacharyya, and Anton Burtsev, University of California, Irvine
JumpSwitches: Restoring the Performance of Indirect Branches In the Era of Spectre
Nadav Amit, VMware Research; Fred Jacobs, VMware; Michael Wei, VMware Research
Multi-Queue Fair Queuing
Mohammad Hedayati, University of Rochester; Kai Shen, Google; Michael L. Scott, University of Rochester; Mike Marty, Google
BRAVO—Biased Locking for Reader-Writer Locks
Dave Dice and Alex Kogan, Oracle Labs
Mitigating Asymmetric Read and Write Costs in Cuckoo Hashing for Storage Systems
Yuanyuan Sun, Yu Hua, Zhangyu Chen, and Yuncheng Guo, Huazhong University of Science and Technology
NICA: An Infrastructure for Inline Acceleration of Network Applications
Haggai Eran, Technion—Israel Institute of Technology & Mellanox Technologies; Lior Zeno, Maroun Tork, Gabi Malka, and Mark Silberstein, Technion—Israel Institute of Technology
E3: Energy-Efficient Microservices on SmartNIC-Accelerated Servers
Ming Liu, University of Washington; Simon Peter, The University of Texas at Austin; Arvind Krishnamurthy, University of Washington; Phitchaya Mangpo Phothilimthana, University of California, Berkeley
INSIDER: Designing In-Storage Computing System for Emerging High-Performance Drive
Zhenyuan Ruan, Tong He, and Jason Cong, UCLA
Cognitive SSD: A Deep Learning Engine for In-Storage Data Retrieval
Shengwen Liang and Ying Wang, State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing; University of Chinese Academy of Sciences; Youyou Lu and Zhe Yang, Tsinghua University; Huawei Li and Xiaowei Li, State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing; University of Chinese Academy of Sciences
SIMD-X: Programming and Processing of Graph Algorithms on GPUs
Hang Liu, University of Massachusetts Lowell; H. Howie Huang, George Washington University
Lumos: Dependency-Driven Disk-based Graph Processing
Keval Vora, Simon Fraser University
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs
Lingxiao Ma and Zhi Yang, Peking University; Youshan Miao, Jilong Xue, Ming Wu, and Lidong Zhou, Microsoft Research; Yafei Dai, Peking University
Pre-Select Static Caching and Neighborhood Ordering for BFS-like Algorithms on Disk-based Graph Engines
Eunjae Lee, UNIST; Junghyun Kim, TmaxOS; Keunhak Lim, Nexon; Sam H. Noh, UNIST; Jiwon Seo, Hanyang University
Back to Wednesday Poster Session and Happy Hour
Thursday Poster Session and Reception
The following posters will be presented during the Poster Session and Reception on Thursday, July 11, 2019, from 6:30 pm–8:30 pm.
From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers
Sadjad Fouladi, Francisco Romero, Dan Iter, and Qian Li, Stanford University; Shuvo Chatterjee, unaffiliated; Christos Kozyrakis, Matei Zaharia, and Keith Winstein, Stanford University
Hodor: Intra-Process Isolation for High-Throughput Data Plane Libraries
Mohammad Hedayati, Spyridoula Gravani, Ethan Johnson, John Criswell, and Michael L. Scott, University of Rochester; Kai Shen and Mike Marty, Google
A Retargetable System-Level DBT Hypervisor
Tom Spink, Harry Wagstaff, and Björn Franke, University of Edinburgh
MTS: Bringing Multi-Tenancy to Virtual Networking
Kashyap Thimmaraju and Saad Hermak, Technische Universität Berlin; Gabor Retvari, BME HSNLab; Stefan Schmid, Faculty of Computer Science, University of Vienna
StreamBox-TZ: Secure Stream Analytics at the Edge with TrustZone
Heejin Park and Shuang Zhai, Purdue ECE; Long Lu, Northeastern University; Felix Xiaozhu Lin, Purdue ECE
CoSMIX: A Compiler-based System for Secure Memory Instrumentation and Execution in Enclaves
Meni Orenbach, Technion; Yan Michalevsky, Anjuna Security; Christof Fetzer, TU Dresden; Mark Silberstein, Technion
Secured Routines: Language-based Construction of Trusted Execution Environments
Adrien Ghosn, James R. Larus, and Edouard Bugnion, EPFL
Supporting Security Sensitive Tenants in a Bare-Metal Cloud
Amin Mosayyebzadeh, Boston University; Apoorve Mohan, Northeastern University; Sahil Tikale, Boston University; Mania Abdi, Northeastern University; Nabil Schear, MIT Lincoln Laboratory; Trammell Hudson, Two Sigma; Charles Munson, MIT Lincoln Laboratory; Larry Rudolph, Two Sigma; Gene Cooperman and Peter Desnoyers, Northeastern University; Orran Krieger, Boston University
Asynchronous I/O Stack: A Low-latency Kernel I/O Stack for Ultra-Low Latency SSDs
Gyusun Lee, Seokha Shin, and Wonsuk Song, Sungkyunkwan University; Tae Jun Ham and Jae W. Lee, Seoul National University; Jinkyu Jeong, Sungkyunkwan University
M³x: Autonomous Accelerators via Context-Enabled Fast-Path Communication
Nils Asmussen, Michael Roitzsch, and Hermann Härtig, Technische Universität Dresden, Germany; Barkhausen Institut, Dresden, Germany
SmartDedup: Optimizing Deduplication for Resource-constrained Devices
Qirui Yang, Runyu Jin, and Ming Zhao, Arizona State University
Data Domain Cloud Tier: Backup here, backup there, deduplicated everywhere!
Abhinav Duggal, Fani Jenkins, Philip Shilane, Ramprasad Chinthekindi, Ritesh Shah, and Mahesh Kamat, Dell EMC
GAIA: An OS Page Cache for Heterogeneous Systems
Tanya Brokhman, Pavel Lifshits, and Mark Silberstein, Technion
Transkernel: Bridging Monolithic Kernels to Peripheral Cores
Liwei Guo, Shuang Zhai, Yi Qiao, and Felix Xiaozhu Lin, Purdue ECE
Detecting Asymmetric Application-layer Denial-of-Service Attacks In-Flight with Finelame
Henri Maxime Demoulin, Isaac Pedisich, Nikos Vasilakis, Vincent Liu, Boon Thau Loo, and Linh Thi Xuan Phan, University of Pennsylvania
SemperOS: A Distributed Capability System
Matthias Hille, Technische Universität Dresden; Nils Asmussen, Technische Universität Dresden; Barkhausen Institut; Pramod Bhatotia, University of Edinburgh; Hermann Härtig, Technische Universität Dresden; Barkhausen Institut
Pragh: Locality-preserving Graph Traversal with Split Live Migration
Xiating Xie, Xingda Wei, Rong Chen, and Haibo Chen, Shanghai Jiao Tong University
ElasticBF: Elastic Bloom Filter with Hotness Awareness for Boosting Read Performance in Large Key-Value Stores
Yongkun Li, Chengjin Tian, Fan Guo, Cheng Li, and Yinlong Xu, University of Science and Technology of China
SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores
Oana Balmau, Florin Dinu, and Willy Zwaenepoel, University of Sydney; Karan Gupta and Ravishankar Chandhiramoorthi, Nutanix; Diego Didona, EPFL
Unification of Temporary Storage in the NodeKernel Architecture
Patrick Stuedi, IBM Research; Animesh Trivedi, Vrije Universiteit; Jonas Pfefferle, IBM Research; Ana Klimovic, Stanford University; Adrian Schuepbach and Bernard Metzler, IBM Research
Evaluating File System Reliability on Solid State Drives
Shehbaz Jaffer, Stathis Maneas, Andy Hwang, and Bianca Schroeder, University of Toronto
Alleviating Garbage Collection Interference Through Spatial Separation in All Flash Arrays
Jaeho Kim, Virginia Tech; Kwanghyun Lim, Cornell University; Youngdon Jung and Sungjin Lee, DGIST; Changwoo Min, Virginia Tech; Sam H. Noh, UNIST
Practical Erase Suspension for Modern Low-latency SSDs
Shine Kim, Seoul National University and Samsung Electronics; Jonghyun Bae, Seoul National University; Hakbeom Jang, Sungkyunkwan University; Wenjing Jin and Jeonghun Gong, Seoul National University; Seungyeon Lee, Samsung Electronics; Tae Jun Ham and Jae W. Lee, Seoul National University
Track-based Translation Layers for Interlaced Magnetic Recording
Mohammad Hossein Hajkazemi, Northeastern University; Ajay Narayan Kulkarni, Seagate Technology; Peter Desnoyers, Northeastern University;Timothy R Feldman, Seagate Technology
Your Coflow has Many Flows: Sampling them for Fun and Speed
Akshay Jajoo, Y. Charlie Hu, and Xiaojun Lin, Purdue University
PostMan: Rapidly Mitigating Bursty Traffic by Offloading Packet Processing
Panpan Jin, Jian Guo, and Yikai Xiao, National Engineering Research Center for Big Data Technology and System, Key Laboratory of Services Computing Technology and System, Ministry of Education, School of Computer Science and Technology, Huazhong University of Science and Technology, China; Rong Shi, The Ohio State University, USA; Yipei Niu and Fangming Liu, National Engineering Research Center for Big Data Technology and System, Key Laboratory of Services Computing Technology and System, Ministry of Education, School of Computer Science and Technology, Huazhong University of Science and Technology, China; Chen Qian, University of California Santa Cruz, USA; Yang Wang, The Ohio State University, USA
R2P2: Making RPCs first-class datacenter citizens
Marios Kogias, George Prekas, Adrien Ghosn, Jonas Fietz, and Edouard Bugnion, EPFL
Lancet: A self-correcting Latency Measuring Tool
Marios Kogias, EPFL; Stephen Mallon, University of Sydney; Edouard Bugnion, EPFL
Pangolin: A Fault-Tolerant Persistent Memory Programming Library
Lu Zhang and Steven Swanson, UC San Diego
Pisces: A Scalable and Efficient Persistent Transactional Memory
Jinyu Gu, Qianqian Yu, Xiayang Wang, Zhaoguo Wang, Binyu Zang, Haibing Guan, and Haibo Chen, Shanghai Jiao Tong University
EdgeWise: A Better Stream Processing Engine for the Edge
Xinwei Fu, Talha Ghaffar, James C. Davis, and Dongyoon Lee, Virginia Tech
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
Myeongjae Jeon, UNIST and Microsoft Research; Shivaram Venkataraman, University of Wisconsin and Microsoft Research; Amar Phanishayee and Junjie Qian, Microsoft Research; Wencong Xiao, Beihang University and Microsoft Research; Fan Yang, Microsoft Research
Lessons and Actions: What We Learned from 10K SSD-Related Storage System Failures
Erci Xu, Ohio State University; Mai Zheng, Iowa State University; Feng Qin, Ohio State University; Yikang Xu and Jiesheng Wu, Alibaba Group
Who's Afraid of Uncorrectable Bit Errors? Online Recovery of Flash Errors with Distributed Redundancy
Amy Tai, Princeton University and VMware Research; Andrew Kryczka and Shobhit O. Kanaujia, Facebook; Kyle Jamieson and Michael J. Freedman, Princeton University; Asaf Cidon, Columbia University
Dayu: Fast and Low-interference Data Recovery in Very-large Storage Systems
Zhufan Wang and Guangyan Zhang, Tsinghua University; Yang Wang, The Ohio State University; Qinglin Yang, Tsinghua University; Jiaji Zhu, Alibaba Cloud
OPTR: Order-Preserving Translation and Recovery Design for SSDs with a Standard Block Device Interface
Yun-Sheng Chang and Ren-Shuo Liu, National Tsing Hua University
Optimizing CNN Model Inference on CPUs
Yizhi Liu, Yao Wang, Ruofei Yu, Mu Li, Vin Sharma, and Yida Wang, Amazon
Accelerating Rule-matching Systems with Learned Rankers
Zhao Lucis Li, University of Science and Technology China; Chieh-Jan Mike Liang and Wei Bai, Microsoft Research; Qiming Zheng, Shanghai Jiao Tong University; Yongqiang Xiong, Microsoft Research; Guangzhong Sun, University of Science and Technology China
MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving
Chengliang Zhang, Minchen Yu, and Wei Wang, Hong Kong University of Science and Technology; Feng Yan, University of Nevada, Reno
Cross-dataset Time Series Anomaly Detection for Cloud Systems
Xu Zhang, Microsoft Research, Nanjing University; Qingwei Lin, Yong Xu, and Si Qin, Microsoft Research; Hongyu Zhang, The University of Newcastle; Bo Qiao, Microsoft Research; Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, and Ken Hsieh, Microsoft; Kaixin Sui, Xin Meng, Yaohai Xu, and Wenchi Zhang, Microsoft Research; Furao Shen, Nanjing University; Dongmei Zhang, Microsoft Research