8 citations · 12 across the 3 of their papers we have counts for
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cs.DC2024
DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge
Daniel May, Alessandro Tundo, Shashikant Ilager +1
The deployment of ML models on edge devices is challenged by limited computational resources and energy availability. While split computing enables the decomposition of large neura…
cs.DC2023★ 8 cited
Automated Probe Life-Cycle Management for Monitoring-as-a-Service
Alessandro Tundo, Marco Mobilio, Oliviero Riganelli +1
Cloud services must be continuously monitored to guarantee that misbehaviors can be timely revealed, compensated, and fixed. While simple applications can be easily monitored and c…