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Towards Demystifying Serverless Machine Learning Training

Summary: Systematic study of ML training on FaaS vs IaaS; LambdaML enables fair benchmarking and optimization/synchronization options. Key result: serverless helps only for low-communication, fast-converging models; overall FaaS is faster but not cheaper than IaaS. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h9ce56d96d472dfba
Venue
SIGMOD
Year
2021
Pagerank
7.5002772e-05
Overall Rank
3,240 | 78.22%
DOI
10.1145/3448016.3459240

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{jiang_sigmod21,
        title = {{Towards Demystifying Serverless Machine Learning Training}},
        author = {Jiang, Jiawei and Gan, Shaoduo and Liu, Yue and Wang, Fanlin and Alonso, Gustavo and Klimovic, Ana and Singla, Ankit and Wu, Wentao and Zhang, Ce},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3459240},
        url = {https://dl.acm.org/doi/10.1145/3448016.3459240},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

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

Rank Cited Paper Year Venue Pagerank
331 Column-Stores vs. Row-Stores: How Different Are They Really? 2008 SIGMOD 0.0002077683
522 PyTorch Distributed: Experiences on Accelerating Data Parallel Training 2020 VLDB 0.00016912378
537 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00016768109
932 Starling: A Scalable Query Engine on Cloud Functions 2020 SIGMOD 0.00013008551
1,019 Serverless Computing: One Step Forward, Two Steps Back 2019 CIDR 0.00012460326
1,081 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012123917
1,614 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 0.00010071891
1,763 Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure 2020 SIGMOD 9.7003359e-05
2,184 Heterogeneity-aware Distributed Parameter Servers 2017 SIGMOD 8.8958335e-05
2,386 Vertica-ML: Distributed Machine Learning in Vertica Database 2020 SIGMOD 8.538263e-05
2,725 FlexPS: Flexible Parallelism Control in Parameter Server Architecture 2018 VLDB 8.090861e-05
2,830 DB4ML – An In-Memory Database Kernel with Machine Learning Support 2020 SIGMOD 7.9619979e-05
3,737 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 7.0628666e-05
3,872 SketchML: Accelerating Distributed Machine Learning with Data Sketches 2018 SIGMOD 6.9540368e-05
5,723 An Experimental Evaluation of Large Scale GBDT Systems 2019 VLDB 6.0178515e-05
6,246 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 5.8370793e-05
6,511 In-database Distributed Machine Learning: Demonstration using Teradata SQL Engine 2019 VLDB 5.7599146e-05
6,640 Dynamic Parameter Allocation in Parameter Servers 2020 VLDB 5.7251952e-05
7,142 A Cost-based Optimizer for Gradient Descent Optimization 2017 SIGMOD 5.600563e-05
9,846 DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions 2018 SIGMOD 5.121318e-05
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