Cargando…
Joint Optimization for Task Offloading in Edge Computing: An Evolutionary Game Approach
The mobile edge computing (MEC) paradigm provides a promising solution to solve the resource-insufficiency problem in mobile terminals by offloading computation-intensive and delay-sensitive tasks to nearby edge nodes. However, limited computation resources in edge nodes may not be sufficient to ser...
Autores principales: | Dong, Chongwu, Wen, Wushao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387332/ https://www.ncbi.nlm.nih.gov/pubmed/30759810 http://dx.doi.org/10.3390/s19030740 |
Ejemplares similares
-
Computation Offloading in UAV-Enabled Edge Computing: A Stackelberg Game Approach
por: Yuan, Xinwang, et al.
Publicado: (2022) -
Optimal Resource Provisioning and Task Offloading for Network-Aware and Federated Edge Computing
por: Nugroho, Avilia Kusumaputeri, et al.
Publicado: (2023) -
Dynamic Task Offloading for Cloud-Assisted Vehicular Edge Computing Networks: A Non-Cooperative Game Theoretic Approach †
por: Hossain, Md. Delowar, et al.
Publicado: (2022) -
An On-Orbit Task-Offloading Strategy Based on Satellite Edge Computing
por: Hu, Yifei, et al.
Publicado: (2023) -
Multi-Task Offloading Based on Optimal Stopping Theory in Edge Computing Empowered Internet of Vehicles
por: Mu, Liting, et al.
Publicado: (2022)