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Analysis of Deep Reinforcement Learning Algorithms for Task Offloading and Resource Allocation in Fog Computing Environments

Fog computing is increasingly preferred over cloud computing for processing tasks from Internet of Things (IoT) devices with limited resources. However, placing tasks and allocating resources in distributed and dynamic fog environments remains a major challenge, especially when trying to meet strict...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Endris Mohammed Ali, Jemal Abawajy, Frezewd Lemma, Samira A. Baho
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-08-01
Schriftenreihe:Sensors
Schlagworte:
deep reinforcement learning
fog computing
QoS
resource allocation
task offloading
Online-Zugang:https://www.mdpi.com/1424-8220/25/17/5286
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