[1]李邦源,张春辉,常 荣,等.5G边缘计算环境下资源效用与隐私保护权衡的服务迁移方法[J].南京师大学报(自然科学版),2021,44(04):102-110.[doi:10.3969/j.issn.1001-4616.2021.04.013]
　Li Bangyuan,Zhang Chunhui,Chang Rong,et al.A Service Offloading Method for Resource Utilization and PrivacyPreservation Trade-offs in 5G-Enabled Edge Computing[J].Journal of Nanjing Normal University(Natural Science Edition),2021,44(04):102-110.[doi:10.3969/j.issn.1001-4616.2021.04.013]
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5G边缘计算环境下资源效用与隐私保护权衡的服务迁移方法()
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《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

卷:
第44卷
期数:
2021年04期
页码:
102-110
栏目:
·计算机科学与技术·
出版日期:
2021-12-15

文章信息/Info

Title:
A Service Offloading Method for Resource Utilization and PrivacyPreservation Trade-offs in 5G-Enabled Edge Computing
文章编号:
1001-4616(2021)04-0102-09
作者:
李邦源1; 张春辉1; 常 荣1; 陈 君1; 许小龙2
(1.云南电网有限责任公司玉溪供电局,云南 玉溪 653100)(2.南京信息工程大学计算机与软件学院,江苏 南京 210044)
Author(s):
Li Bangyuan1; Zhang Chunhui1; Chang Rong1; Chen Jun1; Xu Xiaolong2
(1.Yunnan Power Grid Corporation,Yuxi Power Supply Bureau,Yuxi 653100,China)(2.School of Computer and Software,Nanjing University of Information Science and Technology,Nanjing 210044,China)
关键词:
5G; 服务迁移; 边缘计算; 负载均衡; 隐私保护
Keywords:
5G; service offloading; edge computing; load balance; privacy preservation
分类号:
G301
DOI:
10.3969/j.issn.1001-4616.2021.04.013
文献标志码:
A
摘要:
针对当前5G环境下边缘计算场景存在硬件资源浪费以及服务隐私泄露的问题,本文设计了一种基于资源效用和隐私保护权衡的服务迁移方法(A Service Offloading Method,SOM)以实现边缘节点资源的高效利用与用户的隐私保护. 该方法首先对边缘节点在服务迁移场景中资源利用和隐私保护的需求进行了分析与建模,并将其定义为一个多目标优化问题. 然后利用改进的强度帕累托进化算法(Improving the Strength Pareto Evolutionary Algorithm,SPEA2)生成问题的可行解,采用简单加权法(Simple Additive Weighting,SAW)和多准则决策法(Multi-Criteria Decision-Making Method,MCDM)从多个可行解中挑选出全局最优解. 最后对提出的服务迁移方法SOM进行实验对比并证明其有效性.
Abstract:
In view of the problems of hardware resource waste and service privacy leakage in the current 5G environment,a service offloading method(SOM)for resource utilization and privacy preservation trade-offs has been designed to achieve efficient utilization of edge nodes and protection of user privacy. Specifically,resource utilization and privacy protection requirements of edge nodes in service offloading scenario have been firstly analyzed and modeled,and then defined as a multi-objective optimization problem. Afterward,the feasible solutions of the problem are generated by utilizing the improving the strength pareto evolutionary algorithm(SPEA2). Furthermore,simple additive weighting(SAW)and multi-criteria decision-making method(MCDM)are deployed to select the global optimal solution from multiple feasible solutions. Finally,the experimental results show the effectiveness of the proposed SOM.

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备注/Memo

备注/Memo:
收稿日期:2020-06-29.
基金项目:国家自然科学基金项目(61702277).
通讯作者:许小龙,博士,教授,研究方向:边缘计算,服务计算. E-mail:xlxu@nuist.edu.cn
更新日期/Last Update: 2021-12-15