100 citations · 121 across the 11 of their papers we have counts for
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cs.DC2025
Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform
Lucio Anderlini, Matteo Barbetti, Giulio Bianchini +7
Machine Learning (ML) is driving a revolution in the way scientists design, develop, and deploy data-intensive software. However, the adoption of ML presents new challenges for the…
cs.DC2017★ 9 cited
Improved Cloud resource allocation: how INDIGO-DataCloud is overcoming the current limitations in Cloud schedulers
Alvaro Lopez Garcia, Lisa Zangrando, Massimo Sgaravatto +8
Performing efficient resource provisioning is a fundamental aspect for any resource provider. Local Resource Management Systems (LRMS) have been used in data centers for decades in…