Optimizing Queries across Diverse Data Sources
Summary: Garlic’s optimizer extends rule-based optimization to heterogeneous data integration, combining generic middleware rules with wrapper-supplied source capabilities. This modular design supports extensibility, incremental rule implementation, and effective cross-source plan generation. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Laura M. Haas (IBM)
- 2. Donald Kossmann (IBM; University of Passau)
- 3. Edward L. Wimmers (IBM)
- 4. Jun Yang (IBM; Stanford University)
BibTeX Citation
@article{haas_vldb97,
title = {{Optimizing Queries across Diverse Data Sources}},
author = {Haas, Laura M. and Kossmann, Donald and Wimmers, Edward L. and Yang, Jun},
journal = {PVLDB},
series = {{VLDB} '97},
year = {1997}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 53 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,906 | DatabasePatchwork on the Internet | 1999 | SIGMOD | 5.093636e-05 |
| 12,935 | nD-SQL: A Multi-dimensional Language for Interoperability and OLAP | 1998 | VLDB | 5.093636e-05 |
| 12,938 | TOPAZ: a Cost-Based, Rule-Driven, Multi-Phase Parallelizer | 1998 | VLDB | 5.093636e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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