Welcome to my page!
This is Kai Lu's personal website, including personal introduction, my projects, blogs and some records of my life. If you have any questions, please let me know.
About Me
I'm Kai Lu, currently studying for a Ph.D. at Huazhong University of Science and Technology. My major is storage systems and techniques.
Interests and Projects
- Key-value store: Rocksdb, TiKV, Leveldb
- Object storage: Ceph
- AI for storage: Learned-Rocksdb
- System for AI: DI-store, FlashNeuron, DeepSpeed, Retro
- Non-volatile Memory(NVM): Sprint-AEP, Geardb
- System optimization with RL: Park, Replica-Placement, Auto-Tuning-Ceph
Education
Ph.D. candidate in Storage Systems and Techniques, Wuhan National Laboratory for Optoelectronics(WNLO), Huazhong University of Science and Technology, China, 2018-now
B.E degree in Computer Science and Technology, Huazhong University of Science and Technology, China, 2014-2018
Publications
Liang Wang, Kai Lu(co-primary author), et al. Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning (DAC 2023, CCF A) Code coming soon
Kai Lu, et al. ADSTS: Automatic Distributed Storage Tuning System Using Deep Reinforcement Learning (ICPP 2022, CCF B) Code coming soon
Kai Lu, et al. RLRP: High-Efficient Data Placement with Reinforcement Learning for Modern Distributed Storage Systems (IPDPS 2022, CCF B) Code
Kai Lu, et al. TridentKV: A Read-Optimized LSM-tree Based KV Store via Adaptive Indexing and Space-Efficient Partitioning (TPDS, CCF A) Code
Daping Li, Kai Lu, Jiguang Wan, et al. Disperse Access Considered Energy Inefficiency in Intel Optane DC Persistent Memory Servers (ICDCS 2020, CCF B) Code
Ling Zhan, Kai Lu, Zhilong Cheng and Jiguang Wan. RangeKV: An Efficient Key-Value Store Based on Hybrid DRAM-NVM-SSD Storage Structure (IEEE Access 2020)
In progress
Kai Lu, et al. Learning Data Placement with RLDP in Modern Distributed Storage Systems
Others: point-cloud, HPC file system…
Contact
- Email: emperorlu@hust.edu.cn
- Github: emperorlu