A Taxonomy and Performance Model of Data Skew Effects in Parallel Joins
Summary: Taxonomy of data-skew effects in parallel joins and a new performance model for skew-aware evaluation. Distinguishes skew causes and characteristics to enable fair cross-algorithm comparisons, and uses the model to contrast two parallel join approaches. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Christopher B. Walton (University of Texas)
- 2. Alfred G. Dale (University of Texas)
- 3. Roy M. Jenevein (University of Texas)
BibTeX Citation
@article{walton_vldb91,
title = {{A Taxonomy and Performance Model of Data Skew Effects in Parallel Joins}},
author = {Walton, Christopher B. and Dale, Alfred G. and Jenevein, Roy M.},
journal = {PVLDB},
series = {{VLDB} '91},
year = {1991}
}
Incoming Citations (Sorted by Pagerank)
Showing 23 of 23 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7 | Implementation Techniques For Main Memory Database Systems | 1984 | SIGMOD | 0.00083340894 |
| 188 | Data Placement In Bubba | 1988 | SIGMOD | 0.00026126036 |
| 242 | A Performance Evaluation of Four Parallel Join Algorithms in a Shared-Nothing Multiprocessor Environment | 1989 | SIGMOD | 0.00023604323 |
| 934 | Selectivity Estimation and Query Optimization in Large Databases with Highly Skewed Distributions of Column Values | 1988 | VLDB | 0.00013108714 |
| 3,011 | Design and Evaluation of Parallel Pipelined Join Algorithms | 1987 | SIGMOD | 7.8532781e-05 |
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| 9 | 1,236 | Handling Data Skew in Multiprocessor Database Computers Using Partition Tuning | 1991 | VLDB |
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