IRATS: A DRL-based intelligent priority and deadline-aware online resource allocation and task scheduling algorithm in a vehicular fog network

Cloud computing platforms support the Internet of Vehicles, but the main bottlenecks are high latency and massive data transmission in cloud-based processing. Vehicular fog computing has emerged as a promising paradigm to accommodate the increasing computational needs of vehicles. It provides low la...

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Veröffentlicht in:	Ad hoc networks Jg. 141; S. 103090
Hauptverfasser:	Jamil, Bushra, Ijaz, Humaira, Shojafar, Mohammad, Munir, Kashif
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.03.2023
Schlagworte:	Deep reinforcement learning Proximal policy optimization Resource allocation Task scheduling Vehicular fog network Task scheduling Deep reinforcement learning Proximal policy optimization Vehicular fog network Resource allocation
ISSN:	1570-8705, 1570-8713
Online-Zugang:	Volltext
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