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Serving Deep Learning Models with Deduplication from Relational Databases

Summary: In-database DL model serving with deduplication inside a relational DB, avoiding feature transfer and enabling inference beyond memory. Synergistic storage optimizations—duplication detection, page packing, caching—align tensor blocks with pages, preserve accuracy, and reduce storage, memory, cache misses, and latency; evaluations beat DL frameworks in target scenarios. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12905
Venue
VLDB
Year
2022
Pagerank
5.7964983e-05
Overall Rank
6,708 | 53.98%
DOI
10.14778/3547305.3547325

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhou_vldb22,
        title = {{Serving Deep Learning Models with Deduplication from Relational Databases}},
        author = {Zhou, Lixi and Chen, Jiaqing and Das, Amitabh and Min, Hong and Yu, Lei and Zhao, Ming and Zou, Jia},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {10},
        pages = {2230--2243},
        doi = {10.14778/3547305.3547325},
        url = {https://doi.org/10.14778/3547305.3547325},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 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
8,908 Privacy and Accuracy-Aware AI/ML Model Deduplication 2025 SIGMOD 5.3483178e-05
9,520 Experimental Analysis of Large-scale Learnable Vector Storage Compression 2024 VLDB 5.2561283e-05
10,386 NeurStore: Efficient In-database Deep Learning Model Management System 2026 SIGMOD 5.093636e-05
10,432 Beluga: A CXL-Based Memory Architecture for Scalable and Efficient LLM KVCache Management 2026 SIGMOD 5.093636e-05
10,466 InferF: Declarative Factorization of AI/ML Inferences over Joins 2026 SIGMOD 5.093636e-05
10,623 KEN: An Execution Engine for Unstructured Database Systems 2026 VLDB 5.093636e-05
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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
58 The Merge/Purge Problem for Large Databases 1995 SIGMOD 0.00040116748
135 An Evaluation of Buffer Management Strategies for Relational Database Systems 1985 VLDB 0.00030209257
306 Eliminating Fuzzy Duplicates in Data Warehouses 2002 VLDB 0.00021839661
415 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.0001888524
911 Ed-Join: An Efficient Algorithm for Similarity Joins With Edit Distance Constraints 2008 VLDB 0.00013283031
1,495 LSH Ensemble: Internet-Scale Domain Search 2016 VLDB 0.00010571481
1,670 MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis 2018 SIGMOD 0.00010045615
2,055 Dedoop: Efficient Deduplication with Hadoop 2012 VLDB 9.2512023e-05
2,293 Extending Relational Query Processing with ML Inference 2020 CIDR 8.7949378e-05
2,370 Declarative Recursive Computation on an RDBMS or, Why You Should Use a Database For Distributed Machine Learning 2019 VLDB 8.6795925e-05
2,893 Distributed Data Deduplication 2016 VLDB 7.983961e-05
3,874 Tensors: An abstraction for general data processing 2021 VLDB 7.0561161e-05
4,118 Rafiki: Machine Learning as an Analytics Service System 2019 VLDB 6.8908973e-05
4,128 The Relational Data Borg is Learning 2020 VLDB 6.8850804e-05
4,976 SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra 2020 VLDB 6.4168322e-05
5,080 Hybrid Storage Management for Database Systems 2013 VLDB 6.3711674e-05
5,195 Tensor Relational Algebra for Distributed Machine Learning System Design 2021 VLDB 6.3232105e-05
6,514 A Relational Matrix Algebra and its Implementation in a Column Store 2020 SIGMOD 5.8559163e-05
7,311 Lachesis: Automatic Partitioning for UDF-Centric Analytics 2021 VLDB 5.6491618e-05
8,001 Pangea: Monolithic Distributed Storage for Data Analytics 2019 VLDB 5.508791e-05
9,572 PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development 2018 SIGMOD 5.2528121e-05
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