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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
- 6752
- Venue
- SIGMOD
- Year
- 2023
- Pagerank
- 4.4261814e-05
- Overall Rank
- 8,876 | 38.32%
- DOI
-
10.1145/3626736
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
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 |
| 608 |
Monkey: Optimal Navigable Key-Value Store |
2017 |
SIGMOD |
0.00019233548 |
| 715 |
Building a Database on S3 |
2008 |
SIGMOD |
0.00017636409 |
| 1,071 |
Incremental Organization for Data Recording and Warehousing |
1997 |
VLDB |
0.00014265647 |
| 1,169 |
SuRF: Practical Range Query Filtering with Fast Succinct Tries |
2018 |
SIGMOD |
0.00013530267 |
| 1,309 |
Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging |
2018 |
SIGMOD |
0.00012655712 |
| 1,368 |
SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data |
2017 |
VLDB |
0.0001235708 |
| 2,112 |
The Log-Structured Merge-Bush & the Wacky Continuum |
2019 |
SIGMOD |
9.5244583e-05 |
| 2,797 |
Chucky: A Succinct Cuckoo Filter for LSM-Tree |
2021 |
SIGMOD |
8.1116755e-05 |
| 3,545 |
Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores |
2020 |
SIGMOD |
6.9831585e-05 |
| 3,614 |
SNARF: A Learning-Enhanced Range Filter |
2022 |
VLDB |
6.9124805e-05 |
| 3,797 |
Constructing and Analyzing the LSM Compaction Design Space |
2021 |
VLDB |
6.7552936e-05 |
| 3,970 |
Spooky: Granulating LSM-Tree Compactions Correctly |
2022 |
VLDB |
6.5756727e-05 |
| 4,227 |
Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine |
2022 |
VLDB |
6.3381409e-05 |
| 4,920 |
On Performance Stability in LSM-based Storage Systems |
2020 |
VLDB |
5.8262404e-05 |
| 8,005 |
Pangea: Monolithic Distributed Storage for Data Analytics |
2019 |
VLDB |
4.6044087e-05 |
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| 9,802 |
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| 1,957 |
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9.961151e-05 |
| 7,812 |
CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure |
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SIGMOD |
4.6411266e-05 |
| 10,191 |
PartitionKV: Redesigning LSM-tree KV Stores on NVMs with Adaptive Partitioning for Reducing Write Stalls and Amplification |
2026 |
SIGMOD |
4.1905499e-05 |