POP/FED: Progressive Query Optimization for Federated Queries in DB2
Summary: POP/FED extends progressive optimization for federated queries addressing stale statistics that mislead plan choice. Enables risk-controlled iterative reoptimizations with redundancy elimination and eager statistics; demonstrated on DB2 with POPMonitor. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Holger Kache (IBM)
- 2. Wook-Shin Han (IBM)
- 3. Volker Markl (IBM)
- 4. Vijayshankar Raman (IBM)
- 5. Stephan Ewen (IBM)
BibTeX Citation
@article{kache_vldb06,
title = {{POP/FED: Progressive Query Optimization for Federated Queries in DB2}},
author = {Kache, Holger and Han, Wook-Shin and Markl, Volker and Raman, Vijayshankar and Ewen, Stephan},
journal = {PVLDB},
series = {{VLDB} '06},
pages = {1175--1178},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,677 | AutoSteer: Learned Query Optimization for Any SQL Database | 2023 | VLDB | 6.4721041e-05 |
| 7,407 | Compliant Geo-distributed Query Processing | 2021 | SIGMOD | 5.5330861e-05 |
| 7,492 | Non-Invasive Progressive Optimization for In-Memory Databases | 2016 | VLDB | 5.5094171e-05 |
| 8,192 | Progressive Optimization in a Shared-Nothing Parallel Database | 2007 | SIGMOD | 5.379021e-05 |
| 10,181 | Rapid Adoption of Cloud Data Warehouse Technology Using Datometry Hyper-Q | 2018 | SIGMOD | 5.06464e-05 |
| 10,190 | Saving Money for Analytical Workloads in the Cloud | 2024 | VLDB | 5.0628015e-05 |
| 12,092 | A Framework for Emulating Database Operations in Cloud Data Warehouses | 2020 | SIGMOD | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 98 | LEO - DB2's LEarning Optimizer | 2001 | VLDB | 0.00034099838 |
| 471 | Robust Query Processing through Progressive Optimization | 2004 | SIGMOD | 0.00017744392 |
| 1,054 | Answering Complex SQL Queries Using Automatic Summary Tables | 2000 | SIGMOD | 0.00012263425 |
| 4,660 | Automated Statistics Collection in DB2 UDB | 2004 | VLDB | 6.4794337e-05 |
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|---|---|---|---|---|
| 1 | 3,958 | Implementation of Two Semantic Query Optimization Techniques in DB2 Universal Database | 1999 | VLDB |
| 2 | 7,797 | Workload Optimization using SharedDB | 2013 | SIGMOD |
| 3 | 13,520 | Local and Global Query Optimization Mechanisms for Relational Databases | 1985 | VLDB |
| 4 | 4,798 | Calibrating the Query Optimizer Cost Model of IRO-DB, an Object-Oriented Federated Database System | 1996 | VLDB |
| 5 | 1,686 | Garlic: A New Flavor of Federated Query Processing for DB2 | 2002 | SIGMOD |
| 6 | 3,590 | Scalable Multi-Query Optimization for Exploratory Queries over Federated Scientific Databases | 2008 | VLDB |
| 7 | 471 | Robust Query Processing through Progressive Optimization | 2004 | SIGMOD |
| 8 | 13,050 | QoS-based Data Access and Placement for Federated Systems | 2005 | VLDB |
| 9 | 8,192 | Progressive Optimization in a Shared-Nothing Parallel Database | 2007 | SIGMOD |
| 10 | 14,218 | Progressive Optimization in Action | 2004 | VLDB |