Skew-Aware Join Optimization for Array Databases
Summary: Skew-aware, tile-based join optimization for distributed arrays handles nonuniformity via data-aware reorganization. Two-phase planner selects algorithm and tile granularity; then maps tiles to cluster nodes with a cost model, delivering 2.5x speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jennie Duggan (Northwestern University)
- 2. Olga Papaemmanouil (Brandeis University)
- 3. Leilani Battle (Massachusetts Institute of Technology)
- 4. Michael Stonebraker (Massachusetts Institute of Technology)
BibTeX Citation
@inproceedings{duggan_sigmod15,
title = {{Skew-Aware Join Optimization for Array Databases}},
author = {Duggan, Jennie and Papaemmanouil, Olga and Battle, Leilani and Stonebraker, Michael},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2723709},
url = {https://dl.acm.org/doi/10.1145/2723372.2723709},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,406 | Incremental View Maintenance over Array Data | 2017 | SIGMOD | 6.7191598e-05 |
| 6,157 | Similarity Join over Array Data | 2016 | SIGMOD | 5.9554363e-05 |
| 6,596 | Near-Optimal Distributed Band-Joins through Recursive Partitioning | 2020 | SIGMOD | 5.828647e-05 |
| 7,111 | Submodularity of Distributed Join Computation | 2018 | SIGMOD | 5.69924e-05 |
| 7,311 | Lachesis: Automatic Partitioning for UDF-Centric Analytics | 2021 | VLDB | 5.6491618e-05 |
| 8,892 | Adaptive Quotient Filters | 2024 | SIGMOD | 5.3505412e-05 |
| 10,912 | ArrayMorph: Optimizing Hyperslab Queries on the Cloud for Machine Learning Pipelines | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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