Design and Development of a Machine Learning-Based Task Orchestrator for Intelligent Systems on Edge Networks

This paper proposes an edge-centric workload orchestration approach that uses machine learning in a three-tier vehicular architecture (edge, cloud via roadside unit, or cloud via cellular base station). The orchestrator uses a wireless network at the edge to receive and send over-the-air requests fr...

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Bibliographic Details

Main Authors:	Maria J. P. Peixoto, Akramul Azim
Format:	Artigo
Language:	Inglês
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Vehicle workload cloud edge machine learning mobile nodes task offloading
Online Access:	https://ieeexplore.ieee.org/document/10089444/
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