Adaptive Distributed Query Processing
Summary: SwAP: a scalable adaptive distributed query processor for long-running, federated queries with no statistics. Online learning of selectivity, server workload, and link speed enables dynamic operator reordering to adapt to runtime variability. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 115 | Eddies: Continuously Adaptive Query Processing | 2000 | SIGMOD | 0.00046221215 |
| 182 | LEO - DB2's LEarning Optimizer | 2001 | VLDB | 0.00036962631 |
| 220 | Efficient Mid-Query Re-Optimization of Sub-Optimal Query Execution Plans | 1998 | SIGMOD | 0.00033194808 |
| 394 | An Adaptive Query Execution System for Data Integration* | 1999 | SIGMOD | 0.00024460855 |
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