FASDQ: Fault-Tolerant Adaptive Scheduling with Dynamic QoS-Awareness in Edge Containers for Delay-Sensitive Tasks

As the requirement for real-time data analysis increases, edge computing is being implemented to leverage the resources of edge devices to reduce system response times and decrease the latency. However, due to the resource constraints of edge clouds, edge servers are more prone to failures than othe...

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Detalles Bibliográficos
Autores principales: Wang, Ruifeng, Chen, Ningjiang, Yao, Xuyi, Hu, Liangqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123019/
https://www.ncbi.nlm.nih.gov/pubmed/33922731
http://dx.doi.org/10.3390/s21092973

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123019/
https://www.ncbi.nlm.nih.gov/pubmed/33922731
http://dx.doi.org/10.3390/s21092973

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