Bio

My name is Nanqinqin Li (pronunciation: nan-CHIN-CHin, Chinese: 李南沁沁). I am a second-year Ph.D. student at Princeton University advised by Prof. Michael Freedman on systems research in Princeton SNS Group (also working closely with Prof. Amit Levy and Prof. Wyatt Lloyd).

I received my M.S. degree from the University of Chicago advised by Prof. Haryadi Gunawi on combating the notorious tail latency problem of solid-state drives. I got my B.Eng degree from Beijing University of Posts and Telecommunications.

Research interests

I am broadly interested in building fast, robust systems with a focus on storage. Currently, I am working on cloud/serverless computing with emerging storage technologies (e.g., disaggregated storage).

Publications

Peer-reviewed

• Speculative Recovery: Cheap, Highly Available Fault Tolerance with Disaggregated Storage
  Nanqinqin Li, Anja Kalaba, Michael J. Freedman, Wyatt Lloyd, and Amit Levy.
  The 2022 USENIX Annual Technical Conference (ATC ‘22).
  [paper][talk][slides][code][bib]
• [Best Paper Award] Fantastic SSD Internals and How to Learn and Use Them
  Nanqinqin Li, Mingzhe Hao, Huaicheng Li, Xing Lin, Tim Emami, and Haryadi S. Gunawi.
  The 15th ACM International Systems and Storage Conference (SYSTOR ‘22).
  [paper][talk][code][bib]
• LinnOS: Predictability on Unpredictable Flash Storage with a Light Neural Network
  Mingzhe Hao, Levent Toksoz, Nanqinqin Li, Edward Edberg, Henry Hoffmann, and Haryadi S. Gunawi.
  The 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI ‘20).
  [paper][talk (Mingzhe Hao)][slides][code][bib]

arXiv

• How Low Can You Go? Practical cold-start performance limits in FaaS
  Yue Tan, David Liu, Nanqinqin Li, and Amit Levy.
  [paper][code][bib]

Teaching

• Princeton University, COS 461 Computer Networks, Teaching Assistant, Fall 2021.
• Princeton University, COS 418 Distributed Systems, Teaching Assistant, Spring 2022.