AQR-Toolkit: An Adaptive Query Routing Middleware for Distributed Data Intensive Systems
Summary: AQR-Toolkit offers adaptive query routing for distributed data systems, separating query refinement and source selection to lower false positives, false negatives, and overhead. It uses a DAG of routers and provider profiles to prune irrelevant sources and guide routing via predicates. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ling Liu (Georgia Institute of Technology)
- 2. Calton Pu (Georgia Institute of Technology)
- 3. David Buttler (Georgia Institute of Technology)
- 4. Wei Han (Georgia Institute of Technology)
- 5. Henrique Paques (Georgia Institute of Technology)
- 6. Wei Tang (Georgia Institute of Technology)
BibTeX Citation
@inproceedings{liu_sigmod00,
title = {{AQR-Toolkit: An Adaptive Query Routing Middleware for Distributed Data Intensive Systems}},
author = {Liu, Ling and Pu, Calton and Buttler, David and Han, Wei and Paques, Henrique and Tang, Wei},
series = {{SIGMOD} '00},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/342009.336579},
url = {https://dl.acm.org/doi/10.1145/342009.336579},
year = {2000}
}
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