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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
8774
Venue
VLDB
Year
2001
Pagerank
0.00010118187
Overall Rank
1,912 | 86.71%
DOI
-

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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
10 Benchmarking Database Systems: A Systematic Approach 1983 VLDB 0.0012103754
115 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00046221215
217 Ripple Joins for Online Aggregation 1999 SIGMOD 0.00033536712
220 Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans 1998 SIGMOD 0.00033194808
394 An Adaptive Query Execution System for Data Integration* 1999 SIGMOD 0.00024460855
470 On Saying "Enough Already!" in SQL 1997 SIGMOD 0.00022393068
1,531 Online Dynamic Reordering for Interactive Data Processing 1999 VLDB 0.00011482597
1,789 Reducing the Braking Distance of an SQL Query Engine 1998 VLDB 0.00010555087
2,671 The Case for Enhanced Abstract Data Types 1997 VLDB 8.3367703e-05
2,911 PREDATOR : An OR-DBMS with Enhanced Data Types 1997 SIGMOD 7.9180546e-05
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