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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.DC2024
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments
Shashikant Ilager, Jakob Fahringer, Alessandro Tundo +1
Edge computing provides resources for IoT workloads at the network edge. Monitoring systems are vital for efficiently managing resources and application workloads by collecting, st…