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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)

Paper ID
1737
Venue
PODS
Year
2017
Pagerank
5.093636e-05
Overall Rank
11,973 | 17.86%
DOI
10.1145/3034786.3056449

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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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