Cuckoo Heavy Keeper and the balancing act of maintaining heavy hitters in stream processing
Summary: Cuckoo Heavy Keeper (CHK) reverses the usual frequent/infrequent distinction to balance insertion and query costs in parallel heavy-hitter tracking. It delivers 1.7–5.7× higher throughput, orders-of-magnitude better accuracy, and near-linear scale-up under tight memory. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Vinh Quang Ngo (Chalmers University of Technology; University of Gothenburg)
- 2. Marina Papatriantafilou (Chalmers University of Technology; University of Gothenburg)
BibTeX Citation
@article{ngo_vldb25,
title = {{Cuckoo Heavy Keeper and the balancing act of maintaining heavy hitters in stream processing}},
author = {Ngo, Vinh Quang and Papatriantafilou, Marina},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {9},
pages = {3149--3161},
doi = {10.14778/3746405.3746434},
url = {https://doi.org/10.14778/3746405.3746434},
year = {2025}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 403 | Bottom-Up Computation of Sparse and Iceberg CUBEs | 1999 | SIGMOD | 0.0001910396 |
| 456 | Mergeable Summaries | 2012 | PODS | 0.0001791284 |
| 588 | Computing Iceberg Queries Efficiently | 1998 | VLDB | 0.00015906635 |
| 909 | Finding Frequent Items in Data Streams | 2008 | VLDB | 0.00013125647 |
| 1,319 | Augmented Sketch: Faster and More Accurate Stream Processing | 2016 | SIGMOD | 0.00011045888 |
| 3,094 | Holistic UDAFs at Streaming Speeds | 2004 | SIGMOD | 7.6533343e-05 |
| 4,550 | Approximate Frequency Counts over Data Streams | 2012 | VLDB | 6.5402546e-05 |
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