DRL-OS: A Deep Reinforcement Learning-Based Offloading Scheduler in Mobile Edge Computing

Hardware bottlenecks can throttle smart device (SD) performance when executing computation-intensive and delay-sensitive applications. Hence, task offloading can be used to transfer computation-intensive tasks to an external server or processor in Mobile Edge Computing. However, in this approach, th...

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Detalles Bibliográficos
Autores principales: Lim, Ducsun, Lee, Wooyeob, Kim, Won-Tae, Joe, Inwhee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740101/
https://www.ncbi.nlm.nih.gov/pubmed/36501914
http://dx.doi.org/10.3390/s22239212

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740101/
https://www.ncbi.nlm.nih.gov/pubmed/36501914
http://dx.doi.org/10.3390/s22239212

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