Workshop webpage
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Available at https://cloudintelligenceworkshop.org | |
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Accepted Papers
Sat 29 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
Sat 29 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
11:00 - 11:05 | |||
11:05 - 11:35 | KeynoteCloudIntelligence 2021 at CloudIntelligence Room Chair(s): Qingwei Lin Microsoft Research, Beijing, China | ||
11:05 30mKeynote | From Software Analytics to Cloud Intelligence – Reflection and Path Forward CloudIntelligence 2021 Dongmei Zhang Microsoft Research | ||
11:35 - 11:55 | Invited Talk #1CloudIntelligence 2021 at CloudIntelligence Room Chair(s): Qingwei Lin Microsoft Research, Beijing, China | ||
11:35 20mTalk | Towards Autonomous IT Operations through Artificial Intelligence CloudIntelligence 2021 Dan Pei Tsinghua University | ||
11:55 - 12:55 | Technical paper session #1CloudIntelligence 2021 at CloudIntelligence Room Chair(s): Qingwei Lin Microsoft Research, Beijing, China | ||
11:55 15mPaper | PerfEstimator: A Generic and Extensible Performance Estimator for Data Parallel DNN Training CloudIntelligence 2021 Chengru Yang University of Science and Technology of China, Zhehao Li University of Science and Technology of China, Chaoyi Ruan University of Science and Technology of China, Guanbin Xu University of Science and Technology of China, Cheng Li University of Science and Technology of China, Ruichuan Chen Nokia Bell Labs, Feng Yan University of Nevada Reno | ||
12:10 15mPaper | Kmon: An In-kernel Transparent Monitoring System for Microservice Systems with eBPF CloudIntelligence 2021 Tianjun Weng Sun Yat-Sen University, Wanqi Yang Sun Yat-Sen University, Guangba Yu Sun Yat-Sen University, Pengfei Chen Sun Yat-Sen University, Jieqi Cui Sun Yat-Sen University, Chuanfu Zhang Sun Yat-Sen University | ||
12:25 15mPaper | TraceLingo: Trace representation and learning for performance issue diagnosis in cloud services CloudIntelligence 2021 Yong Xu Microsoft, China, Yaokang Zhu Microsoft Research Asia, Bo Qiao Microsoft Research, Beijing, China, Hongshu Che Microsoft Research, Beijing, China, Pu Zhao Microsoft Research, Beijing, China, Xu Zhang Microsoft Research, Beijing, China, Ze Li Microsoft, USA, Yingnong Dang Microsoft, USA, Qingwei Lin Microsoft Research, Beijing, China | ||
12:40 15mPaper | MicroDiag: Fine-grained Performance Diagnosis for Microservice Systems CloudIntelligence 2021 Li Wu Elastisys AB/Technische Universität Berlin, Johan Tordsson Elastisys AB, Jasmin Bogatinovski , Erik Elmroth Elastisys AB/Umea University, Odej Kao Technische Universität Berlin | ||
13:55 - 14:15 | Invited Talk #2CloudIntelligence 2021 at CloudIntelligence Room Chair(s): Qingwei Lin Microsoft Research, Beijing, China | ||
13:55 20mTalk | Large-Scale Trace Analysis for Microservice Architecture Understanding and Fault Analysis CloudIntelligence 2021 Xin Peng Fudan University, China | ||
14:15 - 15:00 | Technical Paper Session #2CloudIntelligence 2021 at CloudIntelligence Room Chair(s): Qingwei Lin Microsoft Research, Beijing, China | ||
14:15 15mPaper | Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models CloudIntelligence 2021 Jasmin Bogatinovski , Harald Ott TU Berlin, Alexander Acker , Sasho Nedelkoski TU Berlin, Odej Kao Technische Universität Berlin | ||
14:30 15mPaper | Rapid Trend Prediction for Large-Scale Cloud Database KPIs by Clustering CloudIntelligence 2021 Xiaoling Wang Northwestern Polytechnical University, Ning Li School of Computer Science, Northwestern Polytechnical University, Lijun Zhang Northwestern Polytechnical University, Xiaofang Zhang Northwestern Polytechnical University, Qiong Zhao Bank of Communications | ||
14:45 15mPaper | Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies CloudIntelligence 2021 Dominik Scheinert Technische Universität Berlin, Alexander Acker , Lauritz Thamsen TU Berlin, Morgan Geldenhuys Technische Universität Berlin, Odej Kao Technische Universität Berlin | ||
15:00 - 16:00 | |||
15:00 60mMeeting | Panel #1 - How to accelerate collaboration on Cloud Intelligence across academia and industry? CloudIntelligence 2021 Dan Pei Tsinghua University, Shan Lu University of Chicago, Odej Kao Technische Universität Berlin, Ranjita Bhagwan Microsoft Research India, Hongyu Zhang The University of Newcastle | ||
16:30 - 17:20 | Project Showcase SessionCloudIntelligence 2021 at CloudIntelligence Room Chair(s): Yingnong Dang Microsoft, USA | ||
16:30 12mDemonstration | Building a Secured Data Intelligence Platform CloudIntelligence 2021 Conan Yang Salesforce | ||
16:42 12mDemonstration | Infusing ML into VM Provisioning in Cloud CloudIntelligence 2021 Chuan Luo Microsoft Research, China, Randolph Yao Microsoft, USA, Bo Qiao Microsoft Research, Beijing, China, Qingwei Lin Microsoft Research, Beijing, China, Tri M. Tran Microsoft Azure, Gil Shafriri Microsoft Azure, Yingnong Dang Microsoft, USA, Raphael Ghelman Microsoft Azure, Pulak Goyal Microsoft Azure, Eli Cortez Microsoft Azure, Daud Howlader Microsoft Azure, Sushant Rewaskar Microsoft Azure, Murali Chintalapati Microsoft Azure, Dongmei Zhang Microsoft Research | ||
16:55 12mDemonstration | F3: Fault Forecasting Framework for Cloud Systems CloudIntelligence 2021 Chuan Luo Microsoft Research, China, Pu Zhao Microsoft Research, Beijing, China, Bo Qiao Microsoft Research, Beijing, China, Youjiang Wu Microsoft, USA, Yingnong Dang Microsoft, USA, Murali Chintalapati Microsoft Azure, Susy Yi Microsoft 365, Paul Wang Microsoft 365, Andrew Zhou Microsoft 365, Saravanakumar Rajmohan Microsoft Office, United States, Qingwei Lin Microsoft Research, Beijing, China, Dongmei Zhang Microsoft Research | ||
17:07 12mDemonstration | SEAT: statistically sound infra-side deployment and integration testing CloudIntelligence 2021 Nutcha Temiyasathit Facebook, Tao Yang Facebook, Karan Luthra Facebook, Nick Ruff Facebook, Petar Zuljevic Facebook, Ethan Benowitz Facebook, Boris Baracaldo Facebook, Oytun Eskiyenenturk Facebook, Xin Fu Facebook | ||
17:20 - 17:40 | |||
17:20 20mTalk | Leveraging ML to Handle the Increasing Complexity of the Cloud CloudIntelligence 2021 Christina Delimitriou Cornell University | ||
17:40 - 18:00 | |||
17:40 20mTalk | AIOps: Automating and Optimizing IT Operations Management with AI CloudIntelligence 2021 Rama Akkiraju IBM | ||
18:30 - 19:30 | |||
18:30 60mMeeting | Panel #2 - How to accelerate collaboration on Cloud Intelligence across academia and industry? CloudIntelligence 2021 | ||
Rama Akkiraju
IBM
Ricardo Bianchini
Microsoft Research
Mike Dahlin
Google
Marcus Fontoura
Microsoft Azure
Ahmed E. Hassan
School of Computing, Queen's University
Erik Meijer
Facebook
United States
Tao Xie
Peking University
Dongmei Zhang
Microsoft Research
China
Yuanyuan Zhou
University of California, San Diego
United States
Ranjita Bhagwan
Microsoft Research India
India
Junjie Chen
Tianjin University
China
Yingnong Dang
Microsoft, USA
United States
Antonio Gulli
Google
Ryan Huang
Johns Hopkins University
United States
Odej Kao
Technische Universität Berlin
Xiaolin Andy Li
Tongdun Technology
Qingwei Lin
Microsoft Research, Beijing, China
China
Elena Novakovskaia
Salesforce
Dan O'Neil
Stanford University
Xin Peng
Fudan University, China
China
Siddhartha Sen
Weiyi Shang
Concordia University
Zheng Shao
Uber
Nisha Talagala
Pyxeda AI
Rich Wolski
University of California Santa Barbara
Hongyu Zhang
The University of Newcastle
Ming Zhao
Arizona State University
