Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets
Summary: Zippy: cache-conscious top-k aggregation for high-cardinality data that leverages skew with cache-resident structures and an adaptive multi-pass candidate-identification to avoid full exact aggregation. Lightweight hashing/partition pruning, adversarial-robustness, and incremental reuse for rolling/paginated queries; median ~3x speedup for monotonic aggregates vs state-of-the-art. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Tarique Siddiqui (Microsoft)
- 2. Vivek Narasayya (Microsoft)
- 3. Marius Dumitru (Microsoft)
- 4. Surajit Chaudhuri (Microsoft)
BibTeX Citation
@article{siddiqui_vldb24,
title = {{Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets}},
author = {Siddiqui, Tarique and Narasayya, Vivek and Dumitru, Marius and Chaudhuri, Surajit},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {4},
pages = {644--656},
doi = {10.14778/3636218.3636222},
url = {https://doi.org/10.14778/3636218.3636222},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 9,172 | External Merge Sort for Top-K Queries: Eager input filtering guided by histograms | 2020 | SIGMOD |
| 2 | 2,747 | Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries | 2018 | VLDB |
| 3 | 3,599 | Sliding-Window Top-k Queries on Uncertain Streams | 2008 | VLDB |
| 4 | 7,299 | Efficient and Generic Evaluation of Ranked Queries | 2011 | SIGMOD |
| 5 | 7,934 | Ranking Large Temporal Data | 2012 | VLDB |
| 6 | 8,728 | Computing A Well-Representative Summary of Conjunctive Query Results | 2024 | PODS |
| 7 | 8,281 | Efficient Top-K Processing Over Query-Dependent Functions | 2008 | VLDB |
| 8 | 3,317 | Ad-hoc Top-k Query Answering for Data Streams | 2007 | VLDB |
| 9 | 2,250 | Cache-Efficient Aggregation: Hashing Is Sorting | 2015 | SIGMOD |
| 10 | 3,706 | Supporting Ad-hoc Ranking Aggregates | 2006 | SIGMOD |