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Dynamic Workload Management for Very Large Data Warehouses – Juggling Feathers and Bowling Balls

Summary: Dynamic workload management for large data warehouses using a fuzzy-logic controller to meet SLA objectives. Few misbehaving queries can derail thousands; false positives are costly, while industrial workloads show the controller improves throughput. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9519
Venue
VLDB
Year
2007
Pagerank
7.5264988e-05
Overall Rank
3,122 | 78.29%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
1,228 Toward a Progress Indicator for Database Queries 2004 SIGMOD 0.00013164884
1,512 Estimating Progress of Execution for SQL Queries 2004 SIGMOD 0.00011597041
2,111 When Can We Trust Progress Estimators for SQL Queries? 2005 SIGMOD 9.5286436e-05
2,299 Dynamic Memory Allocation for Multiple-Query Workloads 1993 VLDB 9.0697388e-05
4,022 Dynamic Resource Brokering for Multi-User Query Execution 1995 SIGMOD 6.5215748e-05
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