Workload-Adaptive Filtering in Storage Engines
Summary: Adaptive filter for LSM-tree storage engines that remembers frequent false positives, converting them to true negatives for skewed workloads. Outperforms workload-agnostic filters, delivering up to 2x end-to-end throughput. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Joshua Pan
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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 |
| 1,249 | Don't Thrash: How to Cache Your Hash on Flash | 2012 | VLDB | 0.00013040265 |
| 4,227 | Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine | 2022 | VLDB | 6.3381409e-05 |
| 4,993 | Stacked Filters: Learning to Filter by Structure | 2021 | VLDB | 5.7749409e-05 |
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