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Dynamic And Order Preserving Data Partitioning For Database Machines

Summary: Dynamic, order-preserving global data partitioning to mitigate I/O bottlenecks on database machines. Enables efficient parallel join and projection and is integrated into the RAP-3 architecture, with partitioning shown superior to prior methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7716
Venue
VLDB
Year
1985
Pagerank
6.6432116e-05
Overall Rank
3,903 | 72.85%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
1,008 The BANG file: a new kind of grid file 1987 SIGMOD 0.00014666726
3,064 Query Processing Method for Multi-Attribute Clustered Relations 1990 VLDB 7.6279403e-05
5,913 A Reliable Parallel Backend Using Multi-Attribute Clustering and Select-Join Operator 1986 VLDB 5.2760277e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
255 Interpolation-Based Index Maintenance 1983 PODS 0.00030498284
503 Storage Mappings For Multidimensional Linear Dynamic Hashing 1983 PODS 0.00021520176
1,325 Systolic (VLSI) Arrays for Relational Database Operations 1980 SIGMOD 0.00012580045
5,146 The Interpolation-Based Grid File 1985 PODS 5.6644798e-05
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