2 papers
cs.DC2026
AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research
Ignacio Heredia, Ãlvaro López GarcÃa, Fernando Aguilar Gómez +28
The rapid growth of Artificial Intelligence and Machine Learning in scientific research has highlighted a gap between industry-standard MLOps tools and platforms, and the unique re…
cs.PF2024
OSCAR-P and aMLLibrary: Profiling and Predicting the Performance of FaaS-based Applications in Computing Continua
Roberto Sala, Bruno Guindani, Enrico Galimberti +6
This paper proposes an automated framework for efficient application profiling and training of Machine Learning (ML) performance models, composed of two parts: OSCAR-P and aMLLibra…