Serverless Data Science - Are We There Yet? A Case Study of Model Serving-Reference-Cited by-同舟云学术

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

Published:2022-06-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 International Conference on Management of Data
language:
Short-container-title:

Author:

Wu Yuncheng¹,Dinh Tien Tuan Anh²,Hu Guoyu¹,Zhang Meihui³,Chee Yeow Meng¹,Ooi Beng Chin¹

Affiliation:

1. National University of Singapore, Singapore, Singapore

2. Singapore University of Technology and Design, Singapore, Singapore

3. Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

Singapore University of Technology and Design's startup grant

Singapore Ministry of Education Academic Research Fund Tier 3

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3514221.3517905

Reference58 articles.

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2. A. Ali , R. Pinciroli , F. Yan , and E. Smirni . 2020 . BATCH: Machine Learning Inference Serving on Serverless Platforms with Adaptive Batching. In SC. 972--986. A. Ali, R. Pinciroli, F. Yan, and E. Smirni. 2020. BATCH: Machine Learning Inference Serving on Serverless Platforms with Adaptive Batching. In SC. 972--986.

3. Amazon. 2021. Amazon Web Services. https://aws.amazon.com/. Amazon. 2021. Amazon Web Services. https://aws.amazon.com/.

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5. Amazon. 2021. AWS Lambda Quotas. https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-limits.html. Accessed: 2021--10. Amazon. 2021. AWS Lambda Quotas. https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-limits.html. Accessed: 2021--10.

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