Query Caching and Optimization in Distributed Mediator Systems
Summary: Proposes cost-based optimization for mediator systems over distributed sources by caching actual call stats to estimate plan costs. Adds a query-result cache and invariants to use semantic source info to reuse prior results when sources are unavailable, with experiments. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. S. Adali (University of Maryland)
- 2. K.S. Candan (University of Maryland)
- 3. Y. Papakonstantinou (Stanford University)
- 4. V.S. Subrahmanian (University of Maryland)
BibTeX Citation
@inproceedings{adali_sigmod96,
title = {{Query Caching and Optimization in Distributed Mediator Systems}},
author = {Adali, S. and Candan, K.S. and Papakonstantinou, Y. and Subrahmanian, V.S.},
series = {{SIGMOD} '96},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/233269.233327},
url = {https://dl.acm.org/doi/10.1145/233269.233327},
year = {1996}
}
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