Edge Cloud Selection in Mobile Edge Computing(MEC)-Aided Applications for Industrial Internet of Things(IIoT)Services  

作　　者：Dae-Young Kim SoYeon Lee MinSeung Kim Seokhoon Kim 

机构地区：[1]Department of Computer Software Engineering,Soonchunhyang University,Asan,31538,Korea [2]Department of Software Convergence,Soonchunhyang University,Asan,31538,Korea

出　　处：《Computer Systems Science & Engineering》2023年第11期2049-2060,共12页计算机系统科学与工程（英文）

基　　金：supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIT) (No.2021R1C1C1013133);supported by the Institute of Information and Communications Technology Planning and Evaluation (IITP)grant funded by the Korea Government (MSIT) (RS-2022-00167197,Development of Intelligent 5G/6G Infrastructure Technology for The Smart City);supported by the Soonchunhyang University Research Fund.

摘　　要：In many IIoT architectures,various devices connect to the edge cloud via gateway systems.For data processing,numerous data are delivered to the edge cloud.Delivering data to an appropriate edge cloud is critical to improve IIoT service efficiency.There are two types of costs for this kind of IoT network:a communication cost and a computing cost.For service efficiency,the communication cost of data transmission should be minimized,and the computing cost in the edge cloud should be also minimized.Therefore,in this paper,the communication cost for data transmission is defined as the delay factor,and the computing cost in the edge cloud is defined as the waiting time of the computing intensity.The proposed method selects an edge cloud that minimizes the total cost of the communication and computing costs.That is,a device chooses a routing path to the selected edge cloud based on the costs.The proposed method controls the data flows in a mesh-structured network and appropriately distributes the data processing load.The performance of the proposed method is validated through extensive computer simulation.When the transition probability from good to bad is 0.3 and the transition probability from bad to good is 0.7 in wireless and edge cloud states,the proposed method reduced both the average delay and the service pause counts to about 25%of the existing method.

关 键 词：Industrial Internet of Things(IIoT)network IIoT service mobile edge computing(MEC) edge cloud selection MEC-aided application 

分 类 号：TP391.44[自动化与计算机技术—计算机应用技术]