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: 8028
Venue: VLDB
Year: 1991
Pagerank: 4.5944409e-05
Overall Rank: 8,059 | 43.94%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,516	Experience Report: Exploiting Advanced Database Optimization Features for Large-Scale SAP R/3 Installations	2002	VLDB	7.0201615e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
932	Database Partitioning In A Cluster Of Processors	1983	VLDB	0.00015236447

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