Communication Cost in Parallel Query Evaluation: A Tutorial
Summary: Defines the Massively Parallel Communication (MPC) model and analyzes communication for conjunctive-query evaluation on p servers using HyperCube/Shares and randomized hashing. Derives tight single-round bounds via the query hypergraph's fractional vertex cover (with skew extensions), discusses multi-round skew-handling and AGM connections; arbitrary-arity relations remain open. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Dan Suciu (University of Washington)
BibTeX Citation
@inproceedings{suciu_pods17,
address = {New York, NY, USA},
series = {{PODS} '17},
title = {{Communication Cost in Parallel Query Evaluation: A Tutorial}},
url = {https://dl.acm.org/doi/10.1145/3034786.3056449},
doi = {10.1145/3034786.3056449},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Suciu, Dan},
year = {2017}
}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,207 | Communication Steps for Parallel Query Processing | 2013 | PODS | 0.00011663155 |
| 1,448 | Skew in Parallel Query Processing | 2014 | PODS | 0.00010758872 |
| 1,514 | Upper and Lower Bounds on the Cost of a Map-Reduce Computation | 2013 | VLDB | 0.00010527649 |
| 1,998 | A Worst-Case Optimal Multi-Round Algorithm for Parallel Computation of Conjunctive Queries | 2017 | PODS | 9.3363505e-05 |
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