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A Characterization of the Sensitivity of Query Optimization to Storage Access Cost Parameters

Summary: Vector-based framework to analyze how storage-access cost errors affect query plans. Empirically characterizes a commercial optimizer with TPC-H stats, showing significant plan quality gains when cross-device storage costs are accurate and timely. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3510
Venue
SIGMOD
Year
2003
Pagerank
6.5068083e-05
Overall Rank
4,790 | 67.14%
DOI
10.1145/872757.872804

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{reiss_sigmod03,
        title = {{A Characterization of the Sensitivity of Query Optimization to Storage Access Cost Parameters}},
        author = {Reiss, Frederick R. and Kanungo, Tapas},
        series = {{SIGMOD} '03},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/872757.872804},
        url = {https://dl.acm.org/doi/10.1145/872757.872804},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
984 Analyzing Plan Diagrams of Database Query Optimizers 2005 VLDB 0.00012825643
4,049 Resource Elasticity for Large-Scale Machine Learning 2015 SIGMOD 6.9369379e-05
4,616 On the Production of Anorexic Plan Diagrams 2007 VLDB 6.6048588e-05
4,958 Why Did My Query Slow Down? 2009 CIDR 6.428827e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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