activity
20212023
most citedEASE: Energy-Aware Job Scheduling for Vehicular Edge Networks With Renewable Energy Resources

32 citations · 53 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY2023★ 10 cited

VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning

Luca Ballotta, Nicolò Dal Fabbro, Giovanni Perin +3

Assisted and autonomous driving are rapidly gaining momentum and will soon become a reality. Artificial intelligence and machine learning are regarded as key enablers thanks to the…

cs.GT2023

Static and dynamic jamming games over wireless channels with mobile strategic players

Giovanni Perin, Leonardo Badia

We study a wireless jamming problem consisting of the competition between a legitimate receiver and a jammer, modeled as a zero-sum game where the value to maximize/minimize is the…

cs.DC2023★ 3 cited

Divide and Save: Splitting Workload Among Containers in an Edge Device to Save Energy and Time

Aria Khoshsirat, Giovanni Perin, Michele Rossi

The increasing demand for edge computing is leading to a rise in energy consumption from edge devices, which can have significant environmental and financial implications. To addre…

cs.NI2022★ 8 cited

Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges

Neda Shalavi, Giovanni Perin, Andrea Zanella +1

Mobile networks are becoming energy hungry, and this trend is expected to continue due to a surge in communication and computation demand. Multi-access Edge Computing (MEC), will e…

cs.NI2021★ 32 cited

EASE: Energy-Aware Job Scheduling for Vehicular Edge Networks With Renewable Energy Resources

Giovanni Perin, Francesca Meneghello, Ruggero Carli +2

The energy sustainability of multi-access edge computing (MEC) platforms is here addressed by developing Energy-Aware job Scheduling at the Edge (EASE), a computing resource schedu…