Micro Adaptivity in Vectorwise
Summary: Micro Adaptivity keeps multiple primitive flavors and uses an epsilon-greedy learner to select a flavor, addressing performance diversity. Implemented in Vectorwise; micro-benchmarks and a TPC-H evaluation show robust, improved performance with less tuning. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bogdan Răducanu (Actian)
- 2. Peter Boncz (Centrum Wiskunde & Informatica)
- 3. Marcin Żukowski (Actian; Snowflake)
BibTeX Citation
@inproceedings{raducanu_sigmod13,
title = {{Micro Adaptivity in Vectorwise}},
author = {Răducanu, Bogdan and Boncz, Peter and Żukowski, Marcin},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2465292},
url = {https://dl.acm.org/doi/10.1145/2463676.2465292},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 14 | MonetDB/X100: Hyper-Pipelining Query Execution | 2005 | CIDR | 0.0006312782 |
| 193 | Continuously Adaptive Continuous Queries over Streams | 2002 | SIGMOD | 0.00025964286 |
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