MirrorKV: An Efficient Key-Value Store on Hybrid Cloud Storage with Balanced Performance of Compaction and Querying

Summary: MirrorKV uses vertical hot/cold separation across LSM levels and a mirrored K/V LSM to optimize hot caching and queries. Metadata-only split postpones compaction; hot data guides caching, delivering 2.4x inserts, 29% higher reads, and 99% less compaction vs RocksDB-cloud. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6813
Venue: SIGMOD
Year: 2023
Pagerank: 5.3483178e-05
Overall Rank: 8,919 | 38.81%
DOI: 10.1145/3626736

Incoming Non-self Citations Over Time

Authors

1. Zhiqi Wang (Chinese University of Hong Kong)
2. Zili Shao (Chinese University of Hong Kong)

BibTeX Citation

@inproceedings{wang_sigmod23,
        title = {{MirrorKV: An Efficient Key-Value Store on Hybrid Cloud Storage with Balanced Performance of Compaction and Querying}},
        author = {Wang, Zhiqi and Shao, Zili},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626736},
        url = {https://dl.acm.org/doi/10.1145/3626736},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,465	Improving Range Scan Performance in LSM-trees with Group Caching	2026	SIGMOD	5.093636e-05
10,616	Terark-DS: A High-Performance and Storage-Efficient Key-Value Separation Storage Engine on Disaggregated Storage	2026	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
446	Monkey: Optimal Navigable Key-Value Store	2017	SIGMOD	0.00018332392
662	Building a Database on S3	2008	SIGMOD	0.00015176173
831	Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging	2018	SIGMOD	0.00013748512
857	SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data	2017	VLDB	0.00013568886
880	SuRF: Practical Range Query Filtering with Fast Succinct Tries	2018	SIGMOD	0.00013432693
981	Incremental Organization for Data Recording and Warehousing	1997	VLDB	0.0001284025
1,502	The Log-Structured Merge-Bush & the Wacky Continuum	2019	SIGMOD	0.00010557694
1,954	Chucky: A Succinct Cuckoo Filter for LSM-Tree	2021	SIGMOD	9.4208165e-05
2,698	Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores	2020	SIGMOD	8.2450522e-05
2,919	SNARF: A Learning-Enhanced Range Filter	2022	VLDB	7.9628657e-05
3,005	Constructing and Analyzing the LSM Compaction Design Space	2021	VLDB	7.8608206e-05
3,054	Spooky: Granulating LSM-Tree Compactions Correctly	2022	VLDB	7.8090808e-05
3,577	Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine	2022	VLDB	7.2930211e-05
4,262	On Performance Stability in LSM-based Storage Systems	2020	VLDB	6.7965035e-05
8,001	Pangea: Monolithic Distributed Storage for Data Analytics	2019	VLDB	5.508791e-05

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#	Overall Rank	Paper	Year	Venue
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2	10,471	Making LSM-Tree-based Key-Value Store Practical and Efficient for Multi-Tenant Serverless Cloud Databases	2026	SIGMOD
3	10,616	Terark-DS: A High-Performance and Storage-Efficient Key-Value Separation Storage Engine on Disaggregated Storage	2026	VLDB
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