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A Statistical Approach Towards Robust Progress Estimation

Summary: Statistical estimator-selection for robust SQL progress estimation across diverse queries; reduces brittleness of estimators. Introduces special-purpose estimators; shows generalization to unseen workloads; validated on industrial benchmarks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10486
Venue
VLDB
Year
2012
Pagerank
5.0453762e-05
Overall Rank
6,484 | 54.90%
DOI
-

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Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
661 Database Tuning Advisor for Microsoft SQL Server 2005 2004 VLDB 0.00018481174
718 Performance Prediction for Concurrent Database Workloads 2011 SIGMOD 0.0001763106
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
1,582 Execution Strategies for SQL Subqueries 2007 SIGMOD 0.00011265079
1,770 ParaTimer: A Progress Indicator for MapReduce DAGs 2010 SIGMOD 0.00010618229
2,111 When Can We Trust Progress Estimators for SQL Queries? 2005 SIGMOD 9.5286436e-05
7,604 ConEx: A System for Monitoring Queries 2007 SIGMOD 4.6980644e-05
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