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Efficient and Accurate Cost Models for Parallel Query Optimization

Summary: Provides a theoretical foundation for efficient, accurate response-time cost models for parallel SQL query optimization, avoiding expensive scheduling calls. Proposes two heuristic cost functions that in simulation produce plans within 20–60% of optimal for 90–95% of queries. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1086
Venue
PODS
Year
1996
Pagerank
6.1497352e-05
Overall Rank
5,615 | 61.48%
DOI
10.1145/237661.237707

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ganguly_pods96,
        address = {New York, NY, USA},
        series = {{PODS} '96},
        title = {{Efficient and Accurate Cost Models for Parallel Query Optimization}},
        url = {https://dl.acm.org/doi/10.1145/237661.237707},
        doi = {10.1145/237661.237707},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Ganguly, Sumit and Goel, Akshay and Silberschatz, Avi},
        year = {1996}
}

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