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 

作者机构：Department of Computer Software EngineeringSoonchunhyang UniversityAsan31538Korea Department of Software ConvergenceSoonchunhyang UniversityAsan31538Korea 

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

年 卷 期：2023年第47卷第11期

页      面：2049-2060页

学科分类：1305[艺术学-设计学（可授艺术学、工学学位）] 13[艺术学] 081104[工学-模式识别与智能系统] 08[工学] 0804[工学-仪器科学与技术] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 

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 

主　　题：Industrial Internet of Things(IIoT)network IIoT service mobile edge computing(MEC) edge cloud selection MEC-aided application 

摘      要：In many IIoT architectures,various devices connect to the edge cloud via gateway *** data processing,numerous data are delivered to the edge *** data to an appropriate edge cloud is critical to improve IIoT service *** are two types of costs for this kind of IoT network:a communication cost and a computing *** service efficiency,the communication cost of data transmission should be minimized,and the computing cost in the edge cloud should be also ***,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 *** proposed method selects an edge cloud that minimizes the total cost of the communication and computing *** is,a device chooses a routing path to the selected edge cloud based on the *** proposed method controls the data flows in a mesh-structured network and appropriately distributes the data processing *** performance of the proposed method is validated through extensive computer *** 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.