Skew in Parallel Query Processing
Summary: Tight one-round communication bounds for computing conjunctive queries on p servers characterized by fractional edge packings when only relation cardinalities are known (skew-free), matching up to polylog p. For skewed data with known heavy hitters/frequencies, matching upper/lower bounds via packings of residual queries obtained by fixing heavy hitters, with information-theoretic bit lower bounds even under unbounded local computation. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Paul Beame (University of Washington)
- 2. Paraschos Koutris (University of Washington)
- 3. Dan Suciu (University of Washington)
BibTeX Citation
@inproceedings{beame_pods14,
address = {New York, NY, USA},
series = {{PODS} '14},
title = {{Skew in Parallel Query Processing}},
url = {https://dl.acm.org/doi/10.1145/2594538.2594558},
doi = {10.1145/2594538.2594558},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Beame, Paul and Koutris, Paraschos and Suciu, Dan},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 35 of 35 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0010686205 |
| 425 | Shark: SQL and Rich Analytics at Scale | 2013 | SIGMOD | 0.00018704491 |
| 811 | A Taxonomy and Performance Model of Data Skew Effects in Parallel Joins | 1991 | VLDB | 0.00013859761 |
| 1,207 | Communication Steps for Parallel Query Processing | 2013 | PODS | 0.00011663155 |
| 1,514 | Upper and Lower Bounds on the Cost of a Map-Reduce Computation | 2013 | VLDB | 0.00010527649 |
| 1,657 | Handling Data Skew in Parallel Joins in Shared-Nothing Systems | 2008 | SIGMOD | 0.00010096933 |
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