Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia
Summary: Adaptive Range Filters (ARF) generalize Bloom-filter concepts to exclude ranges in cold data. Evaluation shows space, latency, and precision tradeoffs and demonstrates integration into a commercial DB with hot/cold partitioning to prune queries on hot data and avoid cold-data trips. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Karolina Alexiou (ETH Zurich)
- 2. Donald Kossmann (ETH Zurich)
- 3. Per-Ake Larson (Microsoft)
BibTeX Citation
@article{alexiou_vldb13,
title = {{Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia}},
author = {Alexiou, Karolina and Kossmann, Donald and Larson, Per-Ake},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {14},
pages = {1714--1725},
doi = {10.14778/2536222.2536225},
url = {https://doi.org/10.14778/2536222.2536225},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 25 of 25 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 38 | Hekaton: SQL Server’s Memory-Optimized OLTP Engine | 2013 | SIGMOD | 0.00047648573 |
| 222 | Adaptive Selectivity Estimation Using Query Feedback | 1994 | SIGMOD | 0.00024193708 |
| 257 | The History of Histograms (abridged) | 2003 | VLDB | 0.00023154793 |
| 409 | Semantic Data Caching and Replacement | 1996 | VLDB | 0.00018985783 |
| 441 | Filtering Algorithms and Implementation for Very Fast Publish/Subscribe Systems | 2001 | SIGMOD | 0.00018407547 |
| 6,647 | AGILE: Adaptive Indexing for Context-Aware Information Filters | 2005 | SIGMOD | 5.8147547e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,919 | SNARF: A Learning-Enhanced Range Filter | 2022 | VLDB |
| 2 | 4,073 | Stable Learned Bloom Filters for Data Streams | 2020 | VLDB |
| 3 | 4,841 | Grafite: Taming Adversarial Queries with Optimal Range Filters | 2024 | SIGMOD |
| 4 | 10,426 | Aeris Filter: A Strongly and Monotonically Adaptive Range Filter | 2026 | SIGMOD |
| 5 | 1,905 | Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing | 2018 | SIGMOD |
| 6 | 8,408 | A Shifting Bloom Filter Framework for Set Queries | 2016 | VLDB |
| 7 | 9,279 | Including Bloom Filters in Bottom-up Optimization | 2025 | SIGMOD |
| 8 | 10,004 | A four-dimensional Analysis of Partitioned Approximate Filters | 2021 | VLDB |
| 9 | 862 | Spectral Bloom Filters | 2003 | SIGMOD |
| 10 | 880 | SuRF: Practical Range Query Filtering with Fast Succinct Tries | 2018 | SIGMOD |