边缘计算与云计算融合的运维数据安全存储方法  

Secure storage method for operations and maintenance data by integrating edge computing and cloud computing

作　　者：罗伟峰 赖丹晖 袁旭东 邱子良 秦思远 LUO Weifeng;LAI Danhui;YUAN Xudong;QIU Ziliang;QIN Siyuan(Shenzhen Power Supply Co.,Ltd.,Shenzhen,Guangdong 518001,China)

机构地区：[1]深圳供电局有限公司,广东深圳518001

出　　处：《计算机应用文摘》2024年第5期119-121,共3页Chinese Journal of Computer Application

摘　　要：在运维数据安全存储中,传统方法的应用效果不佳,运维数据的丢失率及存储带宽消耗较高,无法达到预期的存储目的。对此,文章通过边缘计算识别运维数据的敏感度,并根据数据敏感度对运维数据进行加密处理;利用云计算技术对运维数据进行压缩和备份处理,从而建立数据云存储架构并设定安全访问认证,进而完成边缘计算与云计算融合的运维数据安全存储。实验证明,该方法的运维数据丢失率低于1%,单位数据存储带宽消耗低于0.3 Mbit,能够有效确保数据存储的安全性、完整性以及节能性。In the secure storage of operation and maintenance data,the application effect of traditional methods is poor,and the loss rate and storage bandwidth consumption of operation and maintenance data are high,which cannot achieve the expected storage purpose.In this regard,this paper identifies the sensitivity of operation and maintenance data through edge computing,and encrypts the operation and maintenance data according to the data sensitivity.Use cloud computing technology to compress and backup operation and maintenance data,so as to establish a data cloud storage architecture and set security access authentication,and then complete the safe storage of operation and maintenance data integrated with edge computing and cloud computing.Experimental results have shown that the operation and maintenance data loss rate of this method is less than 1%,and the unit data storage bandwidth consumption is less than 0.3 Mbit,which can effectively ensure the security,integrity,and energy efficiency of data storage.

关 键 词：边缘计算 云计算 运维数据 安全存储 敏感度 加密处理 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]