dCompaction: Speeding up Compaction of the LSM-Tree via Delayed Compaction

Author:

Pan Feng-Feng,Yue Yin-Liang,Xiong Jin

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Cited by 25 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. Efficient Wear-Leveling-Aware Data Placement for LSM-Tree based key-value store on ZNS SSDs;Journal of King Saud University - Computer and Information Sciences;2024-09

2. On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB;Proceedings of the VLDB Endowment;2024-07

3. STEM: Streaming-Based FPGA Acceleration for Large-Scale Compactions in LSM KV;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. A Contract-aware and Cost-effective LSM Store for Cloud Storage with Low Latency Spikes;ACM Transactions on Storage;2024-04-04

5. TrieKV: Managing Values After KV Separation to Optimize Scan Performance in LSM-Tree;Lecture Notes in Computer Science;2024

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