An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
Summary: Cost-driven index selection tool for SQL Server automates physical design from a workload and stays in step with the optimizer. It prunes candidates by syntax and cost, cheaply evaluates index sets, and iteratively handles multicolumn indexes; implemented on SQL Server 7.0 with near-optimal results on TPC-D. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
Incoming Citations (Sorted by Pagerank)
Showing 15 of 115 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11 | Implementing Data Cubes Efficiently | 1996 | SIGMOD | 0.0011708144 |
| 779 | Materialized View Maintenance and Integrity Constraint Checking: Trading Space for Time | 1996 | SIGMOD | 0.00016786961 |
| 874 | Index Selection in a Self-Adaptive Data Base Management System | 1976 | SIGMOD | 0.00015728533 |
| 1,006 | A Framework for Automating Physical Database Design | 1991 | VLDB | 0.00014688178 |
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