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A Framework for Automating Physical Database Design

Summary: Two-phase automatic physical design: phase 1 uses per-query rules to select cost-efficient designs; phase 2 computes a compromise minimizing frequency-weighted cost over queries. Framework for a Turing-complete DB language; supports relational and NF2 DBMS. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8030
Venue
VLDB
Year
1991
Pagerank
0.00014683533
Overall Rank
1,007 | 93.01%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
160 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00040053897
237 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00031727601
517 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00021193179
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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