Fog computing in 5G networks: an application perspective

Author(s):  
Harshit Gupta Gupta ◽  
Sandip Chakraborty Chakraborty ◽  
Soumya K. Ghosh Ghosh ◽  
Rajkumar Buyya Buyya
Keyword(s):  
Author(s):  
Stojan Kitanov ◽  
Borislav Popovski ◽  
Toni Janevski

Because of the increased computing and intelligent networking demands in 5G network, cloud computing alone encounters too many limitations, such as requirements for reduced latency, high mobility, high scalability, and real-time execution. A new paradigm called fog computing has emerged to resolve these issues. Fog computing distributes computing, data processing, and networking services to the edge of the network, closer to end users. Fog applied in 5G significantly improves network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This chapter evaluates the quality of cloud and fog computing services in 5G network, and proposes five algorithms for an optimal selection of 5G RAN according to the service requirements. The results demonstrate that fog computing is a suitable technology solution for 5G networks.


2020 ◽  
Vol 7 (5) ◽  
pp. 4278-4291 ◽  
Author(s):  
Jianbin Gao ◽  
Kwame Opuni-Boachie Obour Agyekum ◽  
Emmanuel Boateng Sifah ◽  
Kingsley Nketia Acheampong ◽  
Qi Xia ◽  
...  

Author(s):  
Stojan Kitanov ◽  
Borislav Popovski ◽  
Toni Janevski

Because of the increased computing and intelligent networking demands in 5G network, cloud computing alone encounters too many limitations, such as requirements for reduced latency, high mobility, high scalability, and real-time execution. A new paradigm called fog computing has emerged to resolve these issues. Fog computing distributes computing, data processing, and networking services to the edge of the network, closer to end users. Fog applied in 5G significantly improves network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This chapter evaluates the quality of cloud and fog computing services in 5G network, and proposes five algorithms for an optimal selection of 5G RAN according to the service requirements. The results demonstrate that fog computing is a suitable technology solution for 5G networks.


Fog Computing ◽  
2020 ◽  
pp. 505-527
Author(s):  
Osman Khalid ◽  
Imran Ali Khan ◽  
Rao Naveed Bin Rais ◽  
Asad Waqar Malik

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