About Me

I am an Assistant Professor of Computer Science at George Mason University. I am broadly interested in computer systems. My research covers a range of topics including distributed systems, storage systems, container-based virtualization, serverless/cloud computing, and the internet of things. Currently I am working on: (1) improving serverless computing using a full-stack approach spanning applications, to middleware, to the lower-level OS (watch this Youtube video summarizing our recent focus on serverless computing); and (2) building better (computing and storage) systems for distributed machine learning.

I received my Ph.D. degree from the Computer Science Department at Virginia Tech. During my Ph.D. I spent two summers at IBM Research Almaden in 2013 and 2014, and six months at Dell EMC Princeton Office in 2015.


Research Openings     Details

I am currently looking for motivated students to work with me on systems research. If you are a Mason student who is interested in doing systems research, please come talk to me. For students outside Mason, I encourage you to apply to our graduate program. I can be reached at yuecheng@gmu.edu.

News

  • 08/21/2020Acceptance

    Congrats to Junxiang and Zheng on their paper getting accepted to IEEE ICDM 2020!

  • 08/08/2020Acceptance

    Congrats to Ben, Jingyuan, and Ao on Wukong getting accepted by ACM SoCC 2020! Wukong is a super-fast serverless parallel computing framework built atop AWS Lambda. Wukong achieves up to 68X speedup over state-of-the-art serverless parallel processing frameworks. Wukong project is online. We are happy to accept contributions!

  • 07/17/2020Grants

    Two projects got funded by NSF. With the new MRI grant, we will be building a new HPC infrastructure to support the growing computing needs for Mason users. With an OAC grant, we will be building a new model parallel deep learning training infrastructure. Thanks NSF!

  • 06/14/2020Project websites online

    Our InfiniCache project website and Wukong project website are now online! We’re happy to accept contributions!

  • 03/26/2020Acceptance

    Congrats to Zheng, Ahsan, and Syed on TiFL getting accepted to ACM HPDC 2020!

  • 12/11/2019Acceptance

    Congrats to Ao, Jingyuan, and Xiaolong on InfiniCache getting accepted to USENIX FAST 2020! InfiniCache is a first-of-its-kind, cost-effective, object cache that is built atop ephemeral cloud funtions. InfiniCache is 31-96x cheaper than existing cloud cache services (e.g., AWS ElastiCache) while offering same or better performance. Fork InfiniCache on GitHub.

  • *Archived news*

Recent & Selected Publications

Full list

Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing

Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng

ACM SoCC '20     Project    

TiFL: A Tier-based Federated Learning System

Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng

ACM HPDC '20     arXiv

InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache

Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng

USENIX FAST '20     talk arXiv Project     [Press:   IEEE Spectrum,   Blog article]

BESPOKV: Application Tailored Scale-Out Key-Value Stores

Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali R. Butt

SC '18     Slides Github

Improving Docker Registry Design based on Production Workload Analysis

Ali Anwar, Mohamed Mohamed, Vasily Tarasov, Michael Littley, Lukas Rupprecht, Yue Cheng, Nannan Zhao, Dimitrios Skourtis, Amit S. Warke, Heiko Ludwig, Dean Hildebrand, Ali R. Butt

USENIX FAST '18     Github Traces

Erasing Belady's Limitations: In Search of Flash Cache Offline Optimality

Yue Cheng, Fred Douglis, Philip Shilane, Michael Trachtman, Grant Wallace, Peter Desnoyers, Kai Li

USENIX ATC '16     audio poster

LeapLab

Please visit our group website.