Privacy-Preserving Data Preprocessing for Fog Computing in 5G Network Security

Author(s):  
Shengjie Xu ◽  
Yi Qian ◽  
Rose Qingyang Hu
2019 ◽  
Vol 90 ◽  
pp. 158-174 ◽  
Author(s):  
Chunhui Piao ◽  
Yajuan Shi ◽  
Jiaqi Yan ◽  
Changyou Zhang ◽  
Liping Liu

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.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 66188-66197 ◽  
Author(s):  
Meng Li ◽  
Liehuang Zhu ◽  
Zijian Zhang ◽  
Xiaojiang Du ◽  
Mohsen Guizani

2020 ◽  
Vol 26 ◽  
pp. 100265 ◽  
Author(s):  
Muhammad Arif ◽  
Guojun Wang ◽  
Valentina Emilia Balas ◽  
Oana Geman ◽  
Aniello Castiglione ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
pp. 247-257 ◽  
Author(s):  
Jia-Nan Liu ◽  
Jian Weng ◽  
Anjia Yang ◽  
Yizhao Chen ◽  
Xiaodong Lin

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