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Automating Physical Database Design in a Parallel Database

Summary: Automates partitioning of data in a shared-nothing parallel DB using workload-driven optimization. Integrates with the optimizer to propose and evaluate partition candidates; rank-based search outperforms random in a commercial shared-nothing system. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3381
Venue
SIGMOD
Year
2002
Pagerank
0.0002899128
Overall Rank
285 | 98.02%
DOI
-

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Showing 1 of 51 citing papers.

Rank Citing Paper Year Venue Pagerank
12,653 SMART: Making DB2 (More) Autonomic 2002 VLDB 4.1945683e-05
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