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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
3448
Venue
SIGMOD
Year
2003
Pagerank
6.1178799e-05
Overall Rank
4,516 | 68.59%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
1,070 Analyzing Plan Diagrams of Database Query Optimizers 2005 VLDB 0.00014316791
4,802 Resource Elasticity for Large-Scale Machine Learning 2015 SIGMOD 5.9114415e-05
4,936 Why Did My Query Slow Down? 2009 CIDR 5.8193534e-05
5,466 On the Production of Anorexic Plan Diagrams 2007 VLDB 5.4909203e-05
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Outgoing Citations (Sorted by Pagerank)

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

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