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Dynamic Pipeline Scheduling for Improving Interactive Query Performance

Summary: Dynamic pipeline scheduling for interactive queries proposes rate-based scheduling for uniform importance and tuple-regulation for varying importance in pipelined plans. Both strategies accelerate early results and improve interactive responsiveness, adapting to the value of tuples during execution. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hd2c6d4994816b9fb
Venue
VLDB
Year
2001
Pagerank
9.6193021e-05
Overall Rank
1,796 | 87.93%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{urhan_vldb01,
        title = {{Dynamic Pipeline Scheduling for Improving Interactive Query Performance}},
        author = {Urhan, Tolga and Franklin, Michael J.},
        journal = {PVLDB},
        series = {{VLDB} '01},
        year = {2001}
}

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank Cited Paper Year Venue Pagerank
46 Benchmarking Database Systems: A Systematic Approach 1983 VLDB 0.00044784799
53 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00040860054
135 Ripple Joins for Online Aggregation 1999 SIGMOD 0.00029866033
149 Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans 1998 SIGMOD 0.00028981723
334 An Adaptive Query Execution System for Data Integration* 1999 SIGMOD 0.00020691326
396 On Saying "Enough Already!" in SQL 1997 SIGMOD 0.00019162218
1,574 Reducing the Braking Distance of an SQL Query Engine 1998 VLDB 0.00010194928
1,703 Online Dynamic Reordering for Interactive Data Processing 1999 VLDB 9.8315219e-05
2,571 The Case for Enhanced Abstract Data Types 1997 VLDB 8.2840962e-05
3,224 PREDATOR : An OR-DBMS with Enhanced Data Types 1997 SIGMOD 7.5106493e-05
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