Adaptive Distributed Query Processing
Summary: SwAP is a highly scalable, decentralized processor for long-running queries over federated sources without requiring source, server, or resource statistics. It continuously learns runtime selectivities, server load, and network speed, reordering distributed operations adaptively. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Yongluan Zhou (National University of Singapore)
BibTeX Citation
@article{zhou_vldb03,
title = {{Adaptive Distributed Query Processing}},
author = {Zhou, Yongluan},
journal = {PVLDB},
series = {{VLDB} '03},
year = {2003}
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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 |
|---|---|---|---|---|
| 53 | Eddies: Continuously Adaptive Query Processing | 2000 | SIGMOD | 0.00040934556 |
| 102 | LEO - DB2's LEarning Optimizer | 2001 | VLDB | 0.00034291653 |
| 151 | Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans | 1998 | SIGMOD | 0.00029052229 |
| 328 | An Adaptive Query Execution System for Data Integration* | 1999 | SIGMOD | 0.0002100206 |
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