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TridentKV: A Read-Optimized LSM-Tree Based KV Store via Adaptive Indexing and Space-Efficient Partitioning

  • Published:2022-08-01 Issue:8 Volume:33 Page:1953-1966
  • ISSN:1045-9219
  • Container-title:IEEE Transactions on Parallel and Distributed Systems
  • language:
  • Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Lu KaiORCID,Zhao NannanORCID,Wan JiguangORCID,Fei Changhong,Zhao Wei,Deng TongliangORCID

Funder

National Natural Science Foundation of China

Shenzhen basic Research

National Key Research and Development Program of China

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MTDB: an LSM-tree-based key-value store using a multi-tree structure to improve read performance;The Journal of Supercomputing;2024-08-01

2. Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs;Proceedings of the ACM on Management of Data;2024-05-29

3. Range Cache: An Efficient Cache Component for Accelerating Range Queries on LSM - Based Key-Value Stores;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. LeaderKV: Improving Read Performance of KV Stores via Learned Index and Decoupled KV Table;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

5. LSGraph: A Locality-centric High-performance Streaming Graph Engine;Proceedings of the Nineteenth European Conference on Computer Systems;2024-04-22
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