Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams
Summary: Hydra enables real-time, general subpopulation analytics on multidimensional streams with a 'sketch of sketches' and universal sketching to bound errors across combinatorial subpopulations. Spark plugin implementation minimizes overhead and memory, delivering interactive estimates with order-of-magnitude gains versus Spark/Druid. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Antonis Manousis (Carnegie Mellon University)
- 2. Zhuo Cheng (Carnegie Mellon University)
- 3. Ran Ben Basat (University College London)
- 4. Zaoxing Liu (Boston University)
- 5. Vyas Sekar (Carnegie Mellon University)
BibTeX Citation
@article{manousis_vldb22,
title = {{Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams}},
author = {Manousis, Antonis and Cheng, Zhuo and Basat, Ran Ben and Liu, Zaoxing and Sekar, Vyas},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {3249--3262},
doi = {10.14778/3551793.3551867},
url = {https://doi.org/10.14778/3551793.3551867},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,188 | OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates | 2024 | VLDB | 5.3058708e-05 |
| 10,613 | CounterSnake: A lossless and generalized compression framework for diverse sketches | 2026 | VLDB | 5.093636e-05 |
| 10,865 | Approximation-First Timeseries Query At Scale | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 40 of 40 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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