About Me

I am an Assistant Professor of Computer Science at George Mason Universitry. I am broadly interested in computer systems. My research covers a range of topics including distributed systems, storage systems, cloud computing, and internet of things. Currently I am working on: (1) caching for multi-tier NoSQL stores; and (2) building systems with scalable memory on resource constrained gateway devices for Internet of Things.

I received my Ph.D. degree from the Department of Computer Science at Virginia Tech, where I worked with Ali R. Butt. 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.


  • 10/30/2017Shadow PC

    Serving on EuroSys'18 Shadow TPC.

  • 10/15/2017TPC

    Serving on ICCCN'18 TPC. Please consider submitting!

  • 09/08/2017TPC

    Serving on HPDC'18 TPC. Please consider submitting your interesting work!

  • 08/29/2017News

    My interview about teaching featured on VSE website.

  • 08/24/2017Teaching

    I am teaching CS471 in Fall 17.

  • *Archived news*

Selected Publications

Full list

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

Pricing Games for Hybrid Object Stores in the Cloud: Provider vs. Tenant

Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali R. Butt

USENIX HotCloud '15     talk

CAST: Tiering Storage for Data Analytics in the Cloud

Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali R. Butt

ACM HPDC '15     slides

Research Projects

My current projects are focused on two areas: storage efficiency, and systems support for resource-constrained IoT devices. (More to come...)