KEN: An Execution Engine for Unstructured Database Systems
Summary: KEN is a dedicated execution engine for unstructured DBMSs that dynamically deploys model cascades to balance query accuracy and latency. GPU-aware placement and invocation scheduling mitigate cascade overhead, yielding up to 122× lower latency than baseline execution. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Ferdi Kossmann (Massachusetts Institute of Technology)
- 2. Ziniu Wu (Massachusetts Institute of Technology)
- 3. Alex Turk (Intel)
- 4. Nesime Tatbul (Intel; Massachusetts Institute of Technology)
- 5. Lei Cao (University of Arizona)
- 6. Samuel Madden (Massachusetts Institute of Technology)
BibTeX Citation
@article{kossmann_vldb26,
title = {{KEN: An Execution Engine for Unstructured Database Systems}},
author = {Kossmann, Ferdi and Wu, Ziniu and Turk, Alex and Tatbul, Nesime and Cao, Lei and Madden, Samuel},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {5},
pages = {902--916},
doi = {10.14778/3796195.3796204},
url = {https://doi.org/10.14778/3796195.3796204},
year = {2026}
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