Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems

Summary: TRAILS brings SLO-aware DNN model selection into PostgreSQL via JacFlow and a filtering–refinement pipeline combining training-free and training-based evaluation. Its coordinator achieves up to 24.38× lower latency and 29.32× lower computational cost. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 13540
Venue: VLDB
Year: 2024
Pagerank: 5.093636e-05
Overall Rank: 11,209 | 23.10%
DOI: 10.14778/3641204.3641212

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Naili Xing (National University of Singapore)
2. Shaofeng Cai (National University of Singapore)
3. Gang Chen (Zhejiang University)
4. Zhaojing Luo (National University of Singapore)
5. Beng Chin Ooi (National University of Singapore)
6. Jian Pei (Duke University)

BibTeX Citation

@article{xing_vldb24,
        title = {{Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems}},
        author = {Xing, Naili and Cai, Shaofeng and Chen, Gang and Luo, Zhaojing and Ooi, Beng Chin and Pei, Jian},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {5},
        pages = {1020--1033},
        doi = {10.14778/3641204.3641212},
        url = {https://doi.org/10.14778/3641204.3641212},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,221	NeurDB: On the Design and Implementation of an AI-powered Autonomous Database	2025	CIDR	5.4640314e-05
9,470	Powering In-Database Dynamic Model Slicing for Structured Data Analytics	2024	VLDB	5.2634238e-05
10,386	NeurStore: Efficient In-database Deep Learning Model Management System	2026	SIGMOD	5.093636e-05
10,390	AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction	2026	SIGMOD	5.093636e-05
10,418	MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference	2026	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
106	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00033539462
155	MAD Skills: New Analysis Practices for Big Data	2009	VLDB	0.00028713176
1,079	Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML	2014	VLDB	0.00012258469
1,157	Cerebro: A Data System for Optimized Deep Learning Model Selection	2020	VLDB	0.00011924049
1,584	PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers	2021	SIGMOD	0.0001028934
1,969	PIQL: Success-Tolerant Query Processing in the Cloud	2012	VLDB	9.3749819e-05
2,347	Vertica-ML: Distributed Machine Learning in Vertica Database	2020	SIGMOD	8.7157552e-05
2,847	AIDA - Abstraction for Advanced In-Database Analytics	2018	VLDB	8.0583142e-05
3,012	Oracle AutoML: A Fast and Predictive AutoML Pipeline	2020	VLDB	7.8519448e-05
3,376	Robust and Transferable Log-based Anomaly Detection	2023	SIGMOD	7.4605908e-05
3,490	MLog: Towards Declarative In-Database Machine Learning	2017	VLDB	7.3667971e-05
4,067	Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches	2021	VLDB	6.9293511e-05
4,118	Rafiki: Machine Learning as an Analytics Service System	2019	VLDB	6.8908973e-05
4,390	ARM-Net: Adaptive Relation Modeling Network for Structured Data	2021	SIGMOD	6.7290926e-05
4,603	The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product	2021	VLDB	6.6105578e-05
6,143	ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation	2019	VLDB	5.9622615e-05
6,339	In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle	2022	SIGMOD	5.907165e-05
6,743	In-database Distributed Machine Learning: Demonstration using Teradata SQL Engine	2019	VLDB	5.7859722e-05
11,391	Regularized Pairwise Relationship based Analytics for Structured Data	2023	SIGMOD	5.093636e-05

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