We have a selection of 35 papers that will be presented during the conference. The detailed program is coming up soon.
Gosig: A Scalable and High-Performance Byzantine Consensus System for Consortium Blockchains on Wide Area Network
Peilun Li, Guosai Wang(Tsinghua University); Xiaoqi Chen(Princeton); Fan Long(University of Toronto); Wei Xu(Tsinghua University)
T-Lease: A Trusted Lease Primitive for Distributed Systems
Bohdan Trach, Rasha Faqeh, Oleksii Oleksenko, Wojciech Ozga(TU Dresden); Pramod Bhatotia(University of Edinburgh); Christof Fetzer(TU Dresden)
Leveraging Application Classes to Save Power in Highly-Utilized Data Centers
Kostis Kaffes(Stanford University); Dragos Sbirlea, Yiyan Lin, David Lo(Google); Christos Kozyrakis(Stanford University, Google)
Particle: Ephemeral Endpoints for Serverless Networking
Shelby Thomas, Lixiang Ao, Geoffrey M. Voelker, George Porter(UC San Diego)
MetalMind: A Programming Framework for Serverless Computing
Wen Zhang, Vivian Fang(UC Berkeley); Aurojit Panda(NYU); Scott Shenker(UC Berkeley/ICSI)
Making Edge-Computing Resilient
Yotam Harchol(EPFL); Aisha Mushtaq, Vivian Fang(UC Berkeley); James McCauley(UC Berkeley, ICSI); Aurojit Panda(NYU); Scott Shenker(UC Berkeley, ICSI)
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(University of California Santa Cruz and VMWare); Xiaozhou Li(Celer Network); Ying Zhang(Facebook); Chen Qian(University of California Santa Cruz)
Characterizing Serverless Platforms with ServerlessBench
Tianyi Yu, Qingyuan Liu, Dong Du, Yubin Xia, Binyu Zang(Shanghai Jiao Tong University); Ziqian Lu, Pingchao Yang, Chenggang Qin(Ant Financial); Haibo Chen(Shanghai Jiao Tong University)
PaGraph: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning
Zhiqi Lin, Cheng Li(University of Science and Technology of China); Youshan Miao, Yunxin Liu(Microsoft Research); Yinlong Xu(University of Science and Technology of China)
Vessels: Efficient and Scalable Deep Learning Prediction on Trusted Processors
Kyungtae Kim(Purdue University); Chung Hwan Kim, Junghwan Rhee, Xiao Yu, Haifeng Chen(NEC Laboratories America); Dave (Jing) Tian(Purdue University); Byoungyoung Lee(Seoul National University)
Shrec: Bandwidth-Efficient Transaction Relay in High-Throughput Blockchain Systems
Yilin Han(Conflux Foundation); Chenxing Li, Peilun Li(Tsinghua University); Ming Wu(Conflux Foundation); Dong Zhou(Tsinghua University); Fan Long(University of Toronto)
GSLICE: Controlled Spatial Sharing of GPUs for a Scalable Inference Platform
Aditya Dhakal, Sameer G Kulkarni, K.K. Ramakrishnan(University of California, Riverside)
Janus: 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, Joseph Gonzalez(UC Berkeley); Alexey Tumanov(Georgia Tech)
LADS: A High-Performance Framework for Serverless Parallel Computing
Benjamin Carver, Jingyuan Zhang, Ao Wang(George Mason University); Ali Anwar(IBM Research); Panruo Wu(University of Houston); Yue Cheng(George Mason University)
Serverless Linear Algebra
Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Ion Stoica, Ben Recht(UC Berkeley); Jonathan Ragan-Kelley(MIT); Eric Jonas(University of Chicago); Shivaram Venkataraman(University of Wisconsin-Madison)
HangFix: Automatically Fixing Software Hang Bugs for Production Cloud Systems
Jingzhu He(North Carolina State University); Ting Dai(IBM T. J. Watson Research); Xiaohui Gu, Guoliang Jin(North Carolina State University)
ByteSeries : An In-Memory Database for Large-Scale Monitoring Systems
Xuanhua Shi, Zezhao 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.)
High availability in cheap distributed key value storage
Thomas Kim, Daniel L.-K. Wong, Gregory R. Ganger(Carnegie Mellon University); Michael Kaminsky(BrdgAI / Carnegie Mellon University); David G. Andersen(Carnegie Mellon University)
BAOVERLAY: A Block-Accessible Overlay File System for Fast and Efficient Container Storage
Yu Sun, Jiaxin Lei, Hui Lu, Seunghee Shin(Binghamton University)
Influence-Based Provenance for Dataflow Applications with Taint Propagation
Jason Teoh, Muhammad Ali Gulzar, Miryung Kim(UCLA)
A User-level Toolkit for Storage I/O Isolation on Multitenant Hosts
Giorgos Kappes, Stergios Anastasiadis(University of Ioannina)
Challenges and Solutions for Fast Remote Persistent Memory Access
Anuj Kalia(Microsoft Research); David Andersen(CMU); Michael Kaminsky(BrdgAI / Carnegie Mellon University)
SNF: Serverless Network Functions
Arjun Singhvi(University of Wisconsin - Madison); Junaid Khalid(Google); Aditya Akella(UW--Madison and Google); Sujata Banerjee(VMware Research)
Network-accelerated Distributed Machine Learning for Multi-Tenant Settings
Raajay Viswanathan(Uber Techonolgies Inc); Arjun Balasubramanian(UW-Madison); Aditya Akella(UW-Madison and Google)
Photons: Lambdas on a diet
Vojislav Dukic, Rodrigo Bruno(ETH Zurich); Ankit Singla(ETH Zürich); Gustavo Alonso(ETH Zurich)
Peafowl: In-application CPU Scheduling to Reduce Power Consumption ofIn-memory Key-Value Stores
Esmail Asyabi, Azer Bestavros(Boston University); Erfan Sharafzadeh(Johns Hopkins University); Timothy Zhu(Pennsylvania State University)
Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments
Chen Chen, Qizhen Weng, Wei Wang(Hong Kong University of Science and Technology); Baochun Li(University of Toronto); Bo Li(Hong Kong University of Science and Technology)
Improving the Accuracy, Adaptability, and Interpretability of SSD Failure Prediction Models
Chandranil Chakraborttii, hlitz@ucsc.edu(University of California, Santa Cruz)
Specializing the network for scatter-gather workloads
Catalina Alvarez, Zhenhao He, Gustavo Alonso, Ankit Singla(ETH Zurich)
Baechi: Fast Device Placement of Machine Learning Graphs
Beomyeol Jeon(University of Illinois Urbana-Champaign, USA); Linda Cai(Princeton University); Pallavi Srivastava(Microsoft); Jintao Jiang(University of California Los Angeles, USA); Xiaolan Ke, Yitao Meng, Cong Xie, Indranil Gupta(University of Illinois Urbana-Champaign, USA)
Automatically Detecting Risky Scripts in Infrastructure Code
Ting Dai, Alexei Karve(IBM Research); Grzegorz Koper(IBM); Sai Zeng(IBM Research)
Bypassing the Load Balancer Without Regrets
Marios Kogias, Rishabh Iyer, Edouard Bugnion(EPFL)
Finding the Right Cloud Configuration for Analytics Clusters
Muhammad Bilal(UCLouvain and IST); Marco Canini(KAUST); Rodrigo Rodrigues(IST (ULisboa) / INESC-ID)
Sequoia: Enabling Quality-of-Service in Serverless Computing
Ali Tariq, Austin Pahl, Sharat Nimmagadda, Eric Rozner, Siddharth Lanka(University of Colorado Boulder)
Elastic Parameter Server Load Distribution in Deep Learning Clusters
Yangrui Chen (The University of Hong Kong); Yanghua Peng (The Department of Computer Science, The University of Hong Kong); Yixin Bao, Chuan Wu (The University of Hong Kong); Yibo Zhu (ByteDance Inc.); Chuanxiong Guo (Bytedance)
