DBScholar

Back to papers

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

Summary: BI workload manager for highly variable, hard-to-estimate query runtimes, using fuzzy-logic dynamic execution control driven by customer SLAs. Industrial-workload experiments show that a few problem queries—and false-positive interventions—can severely affect thousands of queries. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9710
Venue
VLDB
Year
2007
Pagerank
6.7574155e-05
Overall Rank
4,327 | 70.32%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{krompass_vldb07,
        title = {{Dynamic Workload Management for Very Large Data Warehouses - Juggling Feathers and Bowling Balls}},
        author = {Krompass, Stefan and Kuno, Harumi and Dayal, Umeshwar and Kemper, Alfons},
        journal = {PVLDB},
        series = {{VLDB} '07},
        pages = {1105--1116},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,143 Toward a Progress Indicator for Database Queries 2004 SIGMOD 0.00011999403
1,562 Estimating Progress of Execution for SQL Queries 2004 SIGMOD 0.00010354429
2,270 When Can We Trust Progress Estimators for SQL Queries? 2005 SIGMOD 8.8310714e-05
2,360 Dynamic Memory Allocation for Multiple-Query Workloads 1993 VLDB 8.6956893e-05
4,462 Dynamic Resource Brokering for Multi-User Query Execution 1995 SIGMOD 6.6883778e-05
Previous Page 1 / 1 Next

Semantically Similar Papers