Lifting the Burden of History from Adaptive Query Processing
Summary: Introduces STAIRs for the eddy framework, enabling operator-state manipulation and undoing routing decisions' long-term effects. This yields high adaptivity and improved performance under uncertainty, outperforming prior eddy work by orders of magnitude. (summarized by gpt-5-nano on Feb 09 2026)
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,883 | Content-Based Routing: Different Plans for Different Data | 2005 | VLDB | 5.8545658e-05 |
| 5,727 | Enabling Incremental Query Re-Optimization | 2016 | SIGMOD | 5.3510544e-05 |
| 7,893 | Changing Flights in Mid-air: A Model for Safely Modifying Continuous Queries | 2011 | SIGMOD | 4.6240987e-05 |
| 3,330 | Adapting to Source Properties in Processing Data Integration Queries | 2004 | SIGMOD | 7.2150831e-05 |
| 12,636 | Adaptive Distributed Query Processing | 2003 | VLDB | 4.1945683e-05 |
| 8,869 | Sharing-Aware Horizontal Partitioning for Exploiting Correlations During Query Processing | 2010 | VLDB | 4.4320338e-05 |
| 2,814 | Tuple Routing Strategies for Distributed Eddies | 2003 | VLDB | 8.0749691e-05 |
| 244 | Continuously Adaptive Continuous Queries over Streams | 2002 | SIGMOD | 0.00031066222 |
| 4,617 | Adaptive Query Processing in the Looking Glass | 2005 | CIDR | 6.0446738e-05 |
| 115 | Eddies: Continuously Adaptive Query Processing | 2000 | SIGMOD | 0.00046221215 |