The GMAP: A Versatile Tool for Physical Data Independence
Summary: Eliminates physical-data dependence by modeling storage with a declarative relational-algebra language over a logical schema. An integrated optimizer translates queries and updates into plans over these storage structures, with experiments showing workload-tuned storage outperforms conventional approaches. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Odysseas G. Tsatalas (University of Wisconsin)
- 2. Marvin H. Solomon (University of Wisconsin)
- 3. Yannis E. Ioannidis (University of Wisconsin)
BibTeX Citation
@article{tsatalas_vldb94,
title = {{The GMAP: A Versatile Tool for Physical Data Independence}},
author = {Tsatalas, Odysseas G. and Solomon, Marvin H. and Ioannidis, Yannis E.},
journal = {PVLDB},
series = {{VLDB} '94},
pages = {367},
year = {1994}
}
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|---|---|---|---|---|
| 1 | 4,267 | Toward Logical Data Independence: A Relational Query Language without Relations | 1982 | SIGMOD |
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| 4 | 768 | Automatic Physical Database Tuning: A Relaxation-based Approach | 2005 | SIGMOD |
| 5 | 13,229 | Conceptual-To-Internal Mappings in Commercial Database Systems | 1984 | PODS |
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| 7 | 3,003 | Configuration-Parametric Query Optimization for Physical Design Tuning | 2008 | SIGMOD |
| 8 | 3,889 | On Efficiently Implementing SchemaSQL on a SQL Database System | 1999 | VLDB |
| 9 | 2,512 | An Architecture For Query Optimization | 1982 | SIGMOD |
| 10 | 2,189 | Physical Data Independence, Constraints, and Optimization with Universal Plans | 1999 | VLDB |