Research Interests

My research interests include operating systems and distributed systems, to be specific, enabling performant and reliable distributed systems via designing or implementing operating system primitives. In particular, my research aims at re-designing distributed infrastructures considering (1) new resource comsuming patterns of modern distributed applications (e.g., AI training), and (2) new features of emerging advanced networking hardware (e.g., programmable switches, CXL).

Research Topics

My current research topic is around performant and reliable distributed data coordination.

  • Efficient and Transparent Data Coordination for Disaggregated Data Centers: Disaggregated Data Center (DCC) is one of the latest data center architecture evolution trends. By decoupling and pooling hardware resources (CPU, Memory, etc.), DCCs cut down the maintenance cost and improve resource utilization. Nevertheless, traditional applications, which are unaware of the disaggregated nature of DCCs, perform badly in the DCC architecture due to excessive extra data transmissions. This project aims at extracting application semantics as hints for efficient disaggregated data coordination.
  • Smart-Network-Empowered In-network Data Coordination Scheme: The wide adoption of emerging smart network hardwares (e.g., smart NICs, programmable switches) seeks a new data coordination scheme that suits the smart network environment. This project aims at leveraging smart network features (in-network computing power, stateful network, etc.) to realize a more efficient data coordination scheme.


Shanghai Jiao Tong University

Ph.D. Student
Computer Science and Technology
September 2021 - Present

Huazhong University of Science and Technology

Bachelor of Science
Computer Science and Technology

GPA: 3.98 / 4.00

September 2017 - June 2021


[OSDI] Microsecond-scale Preemption for Concurrent GPU-accelerated DNN Inferences. Mingcong Han, Hanze Zhang, Rong Chen, and Haibo Chen. The 16th USENIX Symposium on Operating Systems Design and Implementation, Carlsbad, CA, US, July 2022.