Monkey: Optimal Navigable Key-Value Store
Summary: LSM-tree KV stores face a trade-off among lookup cost, update cost, and memory. Monkey co-tunes merge policy, buffer, and per-level Bloom filters to minimize total Bloom false positives, guided by a closed-form model; LevelDB experiments show 50–80% lower lookup latency as data grows. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Niv Dayan (Harvard University)
- 2. Manos Athanassoulis (Harvard University)
- 3. Stratos Idreos (Harvard University)
BibTeX Citation
@inproceedings{dayan_sigmod17,
title = {{Monkey: Optimal Navigable Key-Value Store}},
author = {Dayan, Niv and Athanassoulis, Manos and Idreos, Stratos},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3064054},
url = {https://dl.acm.org/doi/10.1145/3035918.3064054},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 50 of 87 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 236 | LinkBench: a Database Benchmark Based on the Facebook Social Graph | 2013 | SIGMOD | 0.00023671522 |
| 258 | bLSM: A General Purpose Log Structured Merge Tree | 2012 | SIGMOD | 0.00022939599 |
| 436 | Optimizing Space Amplification in RocksDB | 2017 | CIDR | 0.00018319035 |
| 513 | Tree Indexing on Solid State Drives | 2010 | VLDB | 0.00017044842 |
| 902 | Analyzing the Energy Efficiency of a Database Server | 2010 | SIGMOD | 0.00013184118 |
| 1,074 | Cache-Oblivious String B-trees | 2006 | PODS | 0.00012162592 |
| 1,569 | Compaction management in distributed key-value datastores | 2015 | VLDB | 0.00010211433 |
| 2,586 | Brainwash: A Data System for Feature Engineering | 2013 | CIDR | 8.2560072e-05 |
| 4,885 | Design Tradeoffs of Data Access Methods | 2016 | SIGMOD | 6.3706825e-05 |
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