Fog-computing based mobility and resource management for resilient mobile networks

作     者：Hang Zhao Shengling Wang Hongwei Shi 

作者机构：School of Artificial IntelligenceBeijing Normal UniversityBeijing 100875China 

出 版 物：《High-Confidence Computing》 (高置信计算（英文）)

年 卷 期：2024年第4卷第2期

页      面：145-151页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(61772044,62077044,and 62293555) the Major Program of Science and Technology Innovation 2030 of China(2022ZD0117105) the Major Program of Natural Science Research Foundation of Anhui Provincial Education Department,China(2022AH040148) 

主　　题：Resilient mobile networking Fog computing Mobility management Resource management 

摘      要：Mobile networks are facing unprecedented challenges due to the traits of large scale,heterogeneity,and high ***,the emergence of fog computing offers surprisingly perfect solutions considering the features of consumer proximity,wide-spread geographical distribution,and elastic resource *** this paper,we propose a novel mobile networking framework based on fog computing which outperforms others in *** scheme is constituted of two parts:the personalized customization mobility management(MM)and the market-driven resource management(RM).The former provides a dynamically customized MM framework for any specific mobile node to optimize the handoff performance according to its traffic and mobility traits;the latter makes room for economic tussles to find out the competitive service providers offering a high level of service quality at sound ***,our proposed MM and RM schemes can holistically support a full-fledged resilient mobile network,which has been practically corroborated by numerical experiments。