5G Virtualized Multi-access Edge Computing Platform for IoT Applications

2018 ◽  
Vol 115 ◽  
pp. 94-102 ◽  
Author(s):  
Han-Chuan Hsieh ◽  
Jiann-Liang Chen ◽  
Abderrahim Benslimane
2022 ◽  
Vol 54 (9) ◽  
pp. 1-37
Author(s):  
Pasika Ranaweera ◽  
Anca Jurcut ◽  
Madhusanka Liyanage

The future of mobile and internet technologies are manifesting advancements beyond the existing scope of science. The concepts of automated driving, augmented-reality, and machine-type-communication are quite sophisticated and require an elevation of the current mobile infrastructure for launching. The fifth-generation (5G) mobile technology serves as the solution, though it lacks a proximate networking infrastructure to satisfy the service guarantees. Multi-access Edge Computing (MEC) envisages such an edge computing platform. In this survey, we are revealing security vulnerabilities of key 5G-based use cases deployed in the MEC context. Probable security flows of each case are specified, while countermeasures are proposed for mitigating them.


2019 ◽  
Vol 8 (1) ◽  
pp. 15 ◽  
Author(s):  
Ammar Muthanna ◽  
Abdelhamied A. Ateya ◽  
Abdukodir Khakimov ◽  
Irina Gudkova ◽  
Abdelrahman Abuarqoub ◽  
...  

Designing Internet of Things (IoT) applications faces many challenges including security, massive traffic, high availability, high reliability and energy constraints. Recent distributed computing paradigms, such as Fog and multi-access edge computing (MEC), software-defined networking (SDN), network virtualization and blockchain can be exploited in IoT networks, either combined or individually, to overcome the aforementioned challenges while maintaining system performance. In this paper, we present a framework for IoT that employs an edge computing layer of Fog nodes controlled and managed by an SDN network to achieve high reliability and availability for latency-sensitive IoT applications. The SDN network is equipped with distributed controllers and distributed resource constrained OpenFlow switches. Blockchain is used to ensure decentralization in a trustful manner. Additionally, a data offloading algorithm is developed to allocate various processing and computing tasks to the OpenFlow switches based on their current workload. Moreover, a traffic model is proposed to model and analyze the traffic indifferent parts of the network. The proposed algorithm is evaluated in simulation and in a testbed. Experimental results show that the proposed framework achieves higher efficiency in terms of latency and resource utilization.


2020 ◽  
Vol 4 (4) ◽  
pp. 34-41
Author(s):  
Fabrizio Granelli ◽  
Cristina Costa ◽  
Jiajing Zhang ◽  
Riccardo Bassoli ◽  
Frank H.P. Fitzek

Author(s):  
Adisorn Lertsinsrubtavee ◽  
Mennan Selimi ◽  
Arjuna Sathiaseelan ◽  
Llorenç Cerdà-Alabern ◽  
Leandro Navarro ◽  
...  

Author(s):  
Lionel Nkenyereye ◽  
Jae Young Hwang ◽  
Quoc-Viet Pham ◽  
Jae Seung Song

2019 ◽  
Vol 3 (2) ◽  
pp. 26-34 ◽  
Author(s):  
Lanfranco Zanzi ◽  
Flavio Cirillo ◽  
Vincenzo Sciancalepore ◽  
Fabio Giust ◽  
Xavier Costa-Perez ◽  
...  
Keyword(s):  

Author(s):  
Di Wu ◽  
He Xu ◽  
Zhongkai Jiang ◽  
Weiren Yu ◽  
Xuetao Wei ◽  
...  

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