About me #
I’m a PhD student in ECE at Carnegie Mellon University, working with George Amvrosiadis. I’m also a member of the Parallel Data Lab.
I worked on disaggregated NVMe storage with Ming Liu at the University of Wisconsin-Madison during 2023 to 2024. Before that, I received my M.S. degree in CS from Columbia University in May 2023, where I was advised by Asaf Cidon. I earned my B.Eng. degree in CS from the South China University of Technology in June 2021.
My research interests mainly include storage systems, networked systems, and distributed computing. I’m also interested in CXL and eBPF.
News #
- [12/2024] Flint (work before joining CMU) gets accepted to NSDI ‘25.
- [08/2024] I started my PhD at Carnegie Mellon University.
Publications #
Building an Elastic Block Storage over EBOFs Using Shadow Views
Sheng Jiang, Ming Liu
USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2025
BPF-oF: Storage Function Pushdown Over the Network [arXiv]
Ioannis Zarkadas, Tal Zussman, Jeremy Carin, Sheng Jiang, Yuhong Zhong, Jonas Pfefferle, Hubertus Franke, Junfeng Yang, Kostis Kaffes, Ryan Stutsman, Asaf Cidon
RubbleDB: CPU-Efficient Replication with NVMe-oF [pdf]
Haoyu Li, Sheng Jiang, Chen Chen, Ashwini Raina, Xingyu Zhu, Changxu Luo, Asaf Cidon
USENIX Annual Technical Conference (ATC), 2023
Work experience #
Software Engineer Intern 2022.5 - 2022.8
TuSimple, San Diego
Research on network stack kernel bypassing.
Software Engineer Intern 2020.6 - 2020.8
Tencent, Shenzhen
Built tools to collect and analyse server metrics.
Awards #
Outstanding Undergraduate Thesis Award SCUT, 2021
SCUT University Scholarship SCUT, 2019 & 2020
China National Scholarship Ministry of Education, 2018