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KEN: An Execution Engine for Unstructured Database Systems

Summary: KEN: execution engine for UDBMSs that makes model cascades practical by dynamically adapting cascade use to workload and optimizing GPU placement/scheduling. Key novelty: exposes middle-ground accuracy/latency tradeoffs for unstructured operators, avoiding the usual small-vs-LMM binary. (summarized by gpt-5.4-mini on Apr 12 2026)

Paper ID
14382
Venue
VLDB
Year
2026
Pagerank
4.1905499e-05
Overall Rank
10,337 | 28.16%
DOI
10.14778/3796195.3796204

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Showing 21 of 21 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
317 NoScope: Optimizing Neural Network Queries over Video at Scale 2017 VLDB 0.0002798145
332 Accelerating Machine Learning Inference with Probabilistic Predicates 2018 SIGMOD 0.00027173479
1,390 MIRIS: Fast Object Track Queries in Video 2020 SIGMOD 0.00012242018
1,839 DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing 2025 VLDB 0.00010351287
3,333 A Demonstration of Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference 2020 VLDB 7.2064333e-05
3,610 EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views 2022 SIGMOD 6.919859e-05
4,221 Vaas: Video Analytics At Scale 2020 VLDB 6.3414314e-05
4,565 Optimizing Video Analytics with Declarative Model Relationships 2023 VLDB 6.0746821e-05
4,686 Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures 2023 VLDB 5.9929067e-05
4,745 Rafiki: Machine Learning as an Analytics Service System 2019 VLDB 5.9466323e-05
4,865 OTIF: Efficient Tracker Pre-processing over Large Video Datasets 2022 SIGMOD 5.8627966e-05
5,149 Abacus: A Cost-Based Optimizer for Semantic Operator Systems 2026 VLDB 5.655398e-05
5,669 Databases Unbound: Querying All of the World's Bytes with AI 2024 VLDB 5.3805024e-05
5,844 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 5.3060581e-05
6,306 Seiden: Revisiting Query Processing in Video Database Systems 2023 VLDB 5.1146055e-05
6,868 Extract-Transform-Load for Video Streams 2023 VLDB 4.8982283e-05
7,055 Serving Deep Learning Models with Deduplication from Relational Databases 2022 VLDB 4.8428976e-05
7,334 Aero: Adaptive Query Processing of ML Queries 2025 SIGMOD 4.7538944e-05
8,057 Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines 2024 VLDB 4.5903427e-05
8,988 Optimizing Inference Serving on Serverless Platforms 2022 VLDB 4.4123773e-05
9,421 Declarative Data Serving: The Future of Machine Learning Inference on the Edge 2021 VLDB 4.3399748e-05
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