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A Generic Flow Algorithm for Shared Filter Ordering Problems

Summary: Flow-maximization for evaluating overlapping conjunctive boolean queries with shared filters on heterogeneous parallel processors, maximizing throughput under processor capacity constraints. Generic iterative algorithm uses a single-processor min-cost filter-ordering oracle to build parallel plans while preserving essentially the oracle’s approximation ratio, enabling many filter-ordering variants to be optimized in parallel. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1448
Venue
PODS
Year
2008
Pagerank
4.5497007e-05
Overall Rank
8,252 | 42.60%
DOI
-

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Rank Citing Paper Year Venue Pagerank
1,429 A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses 2009 VLDB 0.00012033518
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