Yu Gan

Yu Gan

Ph.D. Candidate in Cloud Computing

Computer Systems Lab (CSL), Cornell University

Biography

I am a 5th year Ph.D. candidate in Electrical and Computer Engineering at Cornell University, advised by Professor Christina Delimitrou. I am interested in cloud computing, microservices, ML for systems and computer architecture. My research focuses on building and managing large-scale microservices in datacenters, improving their performance and resource efficiency. Before studying at Cornell, I obtained my B.Eng. degree in Electronic Engineering from Tsinghua University in 2016.

I was a Ph.D. software engineering intern and student researcher at Google in 2018, 2019, 2020, and 2021, hosted by David Lo, Sundar Dev and Qian Xi. During my internship, I did research on using machine learning to improve resource efficiency and detect performance issues of large scale distributed services in Google Cloud.

🌟 I am actively looking for full-time job opportunities in industry in both China and North America.

Interests

  • Cloud Computing
  • Microservices
  • ML for Systems
  • Computer Architecture

Education

  • Ph.D. in Electrical and Computer Engineering, Dec 2021 (expected)

    Cornell University

  • M.S. in Electrical and Computer Engineering, May 2020

    Cornell University

  • B.Eng. in Electronic Engineering, Jul 2016

    Tsinghua University

Publications

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Sage: Practical & Scalable ML-Driven Performance Debugging in Microservices
Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou
To appear in 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'21), Apr 2021
PDF Slides Video DOI
Sage: Leveraging ML To Diagnose Unpredictable Performance in Cloud Microservices
Yu Gan, Sundar Dev, David Lo, Christina Delimitrou
ML for Computer Architecture and Systems Workshop (MLArchSys), May 2020
PDF
Unveiling the Hardware and Software Implications of Microservices in Cloud and Edge Systems
Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayantara Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa, Yuan He, Christina Delimitrou
IEEE Micro Special Issue on Top Picks from the Computer Architecture Conferences, Apr 2020
PDF DOI
Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer
Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou
ACM SIGOPS Operating Systems Review (ACM SIGOPS OSR), Jul 2019
Invited Paper
PDF
An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud and Edge Systems
Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayantara Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou
ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'19), Apr 2019
Selected in IEEE Micro’s Top Picks special issue of “most significant papers in computer architecture based on novelty and long-term impact” for 2019
PDF Code Project Slides Video DOI
Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices
Yu Gan, Yanqi Zhang, Kelvin Hu, Yuan He, Meghna Pancholi, Dailun Cheng, Christina Delimitrou
ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'19), Apr 2019
Invited to SIGOPS Operating Systems Review
PDF Slides Video DOI
μqSim: Enabling Accurate and Scalable Simulation for Interactive Microservices
Yanqi Zhang, Yu Gan, Christina Delimitrou
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS'19), Mar 2019
PDF
Seer: Leveraging Big Data to Navigate the Increasing Complexity of Cloud Debugging
Yu Gan, Meghna Pancholi, Dailun Cheng, Siyuan Hu, Yuan He, Christina Delimitrou
USENIX Conference on Hot Topics in Cloud Computing (HotCloud'18), Jul 2018
PDF Slides
The Architectural Implications of Cloud Microservices
Yu Gan, Christina Delimitrou
IEEE Computer Architecture Letters (CAL), Jul 2018
Selected as Best of CAL for 2018
Received the Best Paper Award from the IEEE CS Publications Board for CAL 2018
PDF Video
Secure Collaborative Spectrum Sensing: A Peer-Prediction Method
Yu Gan, Chunxiao Jiang, Norman C. Beaulieu, Jian Wang, Yong Ren
IEEE Transactions on Communications (TCOM), Aug 2016
PDF DOI
Incentive Attack Prevention for Collaborative Spectrum Sensing: A Peer-Prediction Method
Yu Gan, Chunxiao Jiang, Wei Zhang, Norman C. Beaulieu, Yong Ren
2015 IEEE Global Communications Conference (GLOBECOM 2015), Dec 2015
PDF DOI

Internship

 
 
 
 
 

Student Researcher

Google Cloud

Aug 2020 – Dec 2020 Sunnyvale, CA
 
 
 
 
 

Software Engineering Intern, Ph.D.

Google Cloud

May 2020 – Aug 2020 Sunnyvale, CA
 
 
 
 
 

Software Engineering Intern, Ph.D.

Google Cloud

May 2019 – Aug 2019 Sunnyvale, CA
 
 
 
 
 

Software Engineering Intern, Ph.D.

Google Cloud

May 2018 – Aug 2018 Sunnyvale, CA
 
 
 
 
 

Research Intern

EECS, University of Michigan

May 2015 – Aug 2015 Ann Arbor, MI

Teaching

 
 
 
 
 

Head Teaching Assistant

ECE4750/CS4420 Computer Architecture

Aug 2019 – Dec 2019
 
 
 
 
 

Head Teaching Assistant

ECE4750/CS4420 Computer Architecture

Aug 2018 – Dec 2018

Contact