DBScholar

Back to papers

PartitionKV: Redesigning LSM-tree KV Stores on NVMs with Adaptive Partitioning for Reducing Write Stalls and Amplification

Summary: PartitionKV rethinks LSM KV stores on DRAM-NVM-SSD by replacing unordered MemTable/L0 with ordered NVM partitions that act as both write buffer and WAL. Adaptive split/merge partitioning plus multi-threaded compaction cut L0-L1 rewrite, reducing write stalls/amplification and boosting random writes. (summarized by gpt-5-mini on Apr 11 2026)

Paper ID
7693
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,480 | 28.10%
DOI
10.1145/3786676

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{huang_sigmod26,
        title = {{PartitionKV: Redesigning LSM-tree KV Stores on NVMs with Adaptive Partitioning for Reducing Write Stalls and Amplification}},
        author = {Huang, Xingye and Wu, Jinyu and Xia, Xiaofang and Cui, Jiangtao and Li, Hui and Wang, Liang and Zhang, Feng},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3786676},
        url = {https://dl.acm.org/doi/10.1145/3786676},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers