Memory-Efficient and Flexible Detection of Heavy Hitters in High-Speed Networks
Summary: Memory-efficient SwitchSketch for dynamic heavy-hitter detection in high-speed networks; encoding-based mode switching adapts to skewed traffic. Flexible buckets with variable-length cells and embedded metadata; achieves Fβ>0.938, top-k precision >99% under ~100KB; NetFPGA prototype, open-source. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
BibTeX Citation
@inproceedings{huang_sigmod23,
title = {{Memory-Efficient and Flexible Detection of Heavy Hitters in High-Speed Networks}},
author = {Huang, He and Yu, Jiakun and Du, Yang and Liu, Jia and Dai, Haipeng and Sun, Yu-E},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3617334},
url = {https://dl.acm.org/doi/10.1145/3617334},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,673 | Pandora: An Efficient and Rapid Solution for Persistence-Based Tasks in High-Speed Data Streams | 2025 | SIGMOD | 5.093636e-05 |
| 10,813 | RGS-Sketch: An Accurate, Invertible, and Mergeable Sketch for Online Super Spreader Detection in High-speed Data Streams | 2025 | VLDB | 5.093636e-05 |
| 11,196 | A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions | 2024 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,905 | Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing | 2018 | SIGMOD | 9.5034849e-05 |
| 4,205 | Sample Debiasing in the Themis Open World Database System | 2020 | SIGMOD | 6.8337021e-05 |
| 5,793 | Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix | 2021 | SIGMOD | 6.0868713e-05 |
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