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Augmented Sketch: Faster and More Accurate Stream Processing

Summary: ASketch augments sketch-based freq estimation with a dynamic pre-filter that aggregates top items, boosting heavy-hitter accuracy and reducing misclassification. Overflow items go to a conventional sketch; SIMD-enabled parallelism boosts throughput. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h97acbfef0c6a2a23
Venue
SIGMOD
Year
2016
Pagerank
0.00011013041
Overall Rank
1,329 | 91.10%
DOI
10.1145/2882903.2882948

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{roy_sigmod16,
        title = {{Augmented Sketch: Faster and More Accurate Stream Processing}},
        author = {Roy, Pratanu and Khan, Arijit and Alonso, Gustavo},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2882948},
        url = {https://dl.acm.org/doi/10.1145/2882903.2882948},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 26 of 26 citing papers.

Rank Citing Paper Year Venue Pagerank
1,903 Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing 2018 SIGMOD 9.383454e-05
3,525 Sketching Linear Classifiers over Data Streams 2018 SIGMOD 7.2156031e-05
3,996 BurstSketch: Finding Bursts in Data Streams 2021 SIGMOD 6.8528809e-05
4,661 Efficient Join Synopsis Maintenance for Data Warehouse 2020 SIGMOD 6.4656621e-05
4,927 Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models 2017 VLDB 6.3408733e-05
5,005 Pyramid Sketch: a Sketch Framework for Frequency Estimation of Data Streams 2017 VLDB 6.3061786e-05
5,540 Randomized Error Removal for Online Spread Estimation in Data Streaming 2021 VLDB 6.0739875e-05
5,929 Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix 2021 SIGMOD 5.9278154e-05
6,838 Out of Many We are One: Measuring Item Batch with Clock-Sketch 2021 SIGMOD 5.6517516e-05
7,204 On-Off Sketch: A Fast and Accurate Sketch on Persistence 2021 VLDB 5.5717429e-05
7,587 Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries 2024 SIGMOD 5.4745198e-05
7,657 Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation 2022 VLDB 5.456693e-05
7,714 Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory 2024 SIGMOD 5.4557265e-05
7,895 Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items 2023 SIGMOD 5.4152499e-05
8,040 LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead 2023 SIGMOD 5.3857229e-05
8,060 JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation 2023 SIGMOD 5.382134e-05
8,499 TreeSensing: Linearly Compressing Sketches with Flexibility 2023 SIGMOD 5.3131213e-05
8,574 Panakos: Chasing the Tails for Multidimensional Data Streams 2023 VLDB 5.297131e-05
9,771 CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models 2024 SIGMOD 5.115551e-05
10,584 Sublime: Sublinear Error & Space for Unbounded Skewed Streams 2026 SIGMOD 4.9605343e-05
10,610 SieveSketch: A Fine-grained and Adaptive Sketch Framework for Accurate Frequency Estimation 2026 SIGMOD 4.9605343e-05
10,699 CorrBound: Cardinality Estimation Accounting for Inter- and Intra-relation Correlations 2026 SIGMOD 4.9605343e-05
11,366 Cuckoo Heavy Keeper and the balancing act of maintaining heavy hitters in stream processing 2025 VLDB 4.9605343e-05
11,591 Enabling Adaptive Sampling for Intra-Window Join: Simultaneously Optimizing Quantity and Quality 2024 SIGMOD 4.9605343e-05
11,593 A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions 2024 SIGMOD 4.9605343e-05
11,645 Enhancing Accuracy for Super Spreader Identification in High-Speed Data Streams 2024 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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