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An Iterative Method for Distributed Database Design

Summary: Iterative joint optimization of query plans and data placement in distributed DBs, addressing cost dependencies via alternating minimization. Convergence-guided search traverses the joint cost surface, yielding near-optimal total time in simple settings and outperforming baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8029
Venue
VLDB
Year
1991
Pagerank
4.5902983e-05
Overall Rank
8,061 | 43.98%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
930 Database Partitioning In A Cluster Of Processors 1983 VLDB 0.00015230276
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