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: 14368
Venue: VLDB
Year: 2026
Pagerank: 4.1945683e-05
Overall Rank: 10,325 | 28.18%
DOI: 10.14778/3796195.3796204

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Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

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
316	NoScope: Optimizing Neural Network Queries over Video at Scale	2017	VLDB	0.00027988668
329	Accelerating Machine Learning Inference with Probabilistic Predicates	2018	SIGMOD	0.00027249545
1,388	MIRIS: Fast Object Track Queries in Video	2020	SIGMOD	0.00012260926
1,963	DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing	2025	VLDB	9.929429e-05
3,331	A Demonstration of Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference	2020	VLDB	7.2131599e-05
3,606	EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views	2022	SIGMOD	6.9260354e-05
4,225	Vaas: Video Analytics At Scale	2020	VLDB	6.3469943e-05
4,567	Optimizing Video Analytics with Declarative Model Relationships	2023	VLDB	6.080526e-05
4,687	Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures	2023	VLDB	5.9986055e-05
4,748	Rafiki: Machine Learning as an Analytics Service System	2019	VLDB	5.9526539e-05
4,865	OTIF: Efficient Tracker Pre-processing over Large Video Datasets	2022	SIGMOD	5.8684353e-05
5,171	Abacus: A Cost-Based Optimizer for Semantic Operator Systems	2026	VLDB	5.6464993e-05
5,658	Databases Unbound: Querying All of the World's Bytes with AI	2024	VLDB	5.385675e-05
5,832	Stage: Query Execution Time Prediction in Amazon Redshift	2024	SIGMOD	5.3111109e-05
6,315	Seiden: Revisiting Query Processing in Video Database Systems	2023	VLDB	5.1142298e-05
6,877	Extract-Transform-Load for Video Streams	2023	VLDB	4.8974054e-05
7,061	Serving Deep Learning Models with Deduplication from Relational Databases	2022	VLDB	4.8463881e-05
7,338	Aero: Adaptive Query Processing of ML Queries	2025	SIGMOD	4.7584583e-05
8,080	Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines	2024	VLDB	4.5911668e-05
8,982	Optimizing Inference Serving on Serverless Platforms	2022	VLDB	4.4166105e-05
9,415	Declarative Data Serving: The Future of Machine Learning Inference on the Edge	2021	VLDB	4.3441378e-05

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