Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation
Summary: Stingy Sketch jointly optimizes frequency-estimation accuracy and throughput via Bit-pinching Counter Trees, which encode carry operations compactly, and a prefetching Prophet Queue that keeps accesses in L2 cache. It improves accuracy up to 50% and speed up to 33% over state-of-the-art sketches. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Haoyu Li (Peking University)
- 2. Qizhi Chen (Peking University)
- 3. Yixin Zhang (Peking University)
- 4. Tong Yang (Peking University; Peng Cheng Laboratory)
- 5. Bin Cui (Peking University)
BibTeX Citation
@article{li_vldb22,
title = {{Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation}},
author = {Li, Haoyu and Chen, Qizhi and Zhang, Yixin and Yang, Tong and Cui, Bin},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {7},
pages = {1426--1438},
doi = {10.14778/3523210.3523220},
url = {https://doi.org/10.14778/3523210.3523220},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,548 | Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory | 2024 | SIGMOD | 5.6021153e-05 |
| 9,027 | JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation | 2023 | SIGMOD | 5.3293224e-05 |
| 10,083 | ChainedFilter: Combining Membership Filters by Chain Rule | 2023 | SIGMOD | 5.1578347e-05 |
| 10,295 | Sublime: Sublinear Error & Space for Unbounded Skewed Streams | 2026 | SIGMOD | 5.093636e-05 |
| 10,613 | CounterSnake: A lossless and generalized compression framework for diverse sketches | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 9 | 10,329 | SieveSketch: A Fine-grained and Adaptive Sketch Framework for Accurate Frequency Estimation | 2026 | SIGMOD |
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