Efficient and scalable covariate drift detection in machine learning systems with serverless computing-Reference-Cited by-同舟云学术

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Efficient and scalable covariate drift detection in machine learning systems with serverless computing

Published:2024-12 Issue: Volume:161 Page:174-188
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Céspedes Sisniega Jaime,Rodríguez Vicente,Moltó Germán,López García Álvaro^ORCID

Publisher

Elsevier BV

Reference71 articles.

1. Standardized serverless ml inference platform on kubernetes;Sun,2019

2. Machine learning toolkit for kubernetes;Authors,2018

3. Accelerating the machine learning lifecycle with mlflow;Zaharia;IEEE Data Eng. Bull.,2018

4. C. Yang, S. Sheng, A. Pham, S. Zhao, S. Lee, B. Jiang, F. Dong, X. Guan, F. Ming, BentoML: The framework for building reliable, scalable and cost-efficient AI application, https://github.com/bentoml/bentoml.

5. Serverless workflows for containerised applications in the cloud continuum;Risco;J. Grid Comput.,2021

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