DBScholar

Back to papers

Serverless Data Science - Are We There Yet? A Case Study of Model Serving

Summary: Comprehensive performance/cost evaluation of serverless model serving on AWS/GCP; serverless outperforms cloud-based options and GPU setups. Outlines a design space (platforms, runtimes, parameters) and offers guidance for serverless model serving. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6419
Venue
SIGMOD
Year
2022
Pagerank
5.6982359e-05
Overall Rank
7,114 | 51.20%
DOI
10.1145/3514221.3517905

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wu_sigmod22,
        title = {{Serverless Data Science - Are We There Yet? A Case Study of Model Serving}},
        author = {Wu, Yuncheng and Dinh, Tien Tuan Anh and Hu, Guoyu and Zhang, Meihui and Chee, Yeow Meng and Ooi, Beng Chin},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3517905},
        url = {https://dl.acm.org/doi/10.1145/3514221.3517905},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers