Training and Serving Machine Learning Models at Scale-Reference-Cited by-同舟云学术

Training and Serving Machine Learning Models at Scale

Published:2022 Issue: Volume: Page:669-683
ISSN:0302-9743
Container-title:Service-Oriented Computing
language:
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Author:

Baresi Luciano,Quattrocchi Giovanni

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-20984-0_48

Reference34 articles.

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2. Baresi, L., Denaro, G., Quattrocchi, G.: Symbolic execution-driven extraction of the parallel execution plans of spark applications. In: Proceedings of the Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 246–256. ACM (2019)

3. Baresi, L., Leva, A., Quattrocchi, G.: Fine-grained dynamic resource allocation for big-data applications. IEEE Trans. Software Eng. 47(8), 1668–1682 (2021)

4. Baresi, L., Quattrocchi, G., Rasi, N.: Federated machine learning as a self-adaptive problem. In: Proceedings of the International Symposium on Software Engineering for Adaptive and Self-Managing Systems, pp. 41–47 (2021)

5. Lecture Notes in Computer Science;L Baresi,2021

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