Mobile Fog Computing by Using SDN/NFV on 5G Edge Nodes

作     者：G.R.Sreekanth S.Ahmed Najat Ahmed Marko Sarac Ivana Strumberger Nebojsa Bacanin Miodrag Zivkovic 

作者机构：Department of Computer Science and EngineeringKongu Engineering CollegeErode638060India Department of Computer EngineeringLebanese French UniversityErbil44001Iraq Singidunum UniversityBelgrade11000Serbia 

出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)

年 卷 期：2022年第41卷第5期

页      面：751-765页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Mobile fog computing edge computing edge node IoT softwaredefined networking network functions virtualization orchestrator 

摘      要：Abstract:Fog computing provides quality of service for cloud *** the data computation intensifies,edge computing becomes ***,mobile fog computing is used for reducing traffic and the time for data computation in the *** previous studies,software-defined networking(SDN)and network functions virtualization(NFV)were used separately in edge *** industrial and academic research is tackling to integrate SDN and NFV in different environments to address the challenges in performance,reliability,and ***/NFV is still in *** traditional Internet of things(IoT)data analysis system is only based on a linear and time-variant system that needs an IoT data system with a high-precision *** paper proposes a combined architecture of SDN and NFV on an edge node server for IoT devices to reduce the computational complexity in cloud-based fog *** provides a generalization structure of the forwarding plane,which is separated from the control ***,NFV concentrates on virtualization by combining the forwarding model with virtual network functions(VNFs)as a single or chain of VNFs,which leads to interoperability and *** orchestrator layer in the proposed software-defined NFV is responsible for handling real-time tasks by using an edge node server through the SDN controller via four actions:task creation,modification,operation,and *** proposed architecture is simulated on the EstiNet simulator,and total time delay,reliability,and satisfaction are used as evaluation *** simulation results are compared with the results of existing architectures,such as software-defined unified virtual monitoring function and ASTP,to analyze the performance of the proposed *** analysis results indicate that our proposed architecture achieves better performance in terms of total time delay(1800 s for 200 IoT devices),reliability(90%),and satisfaction(90%).