基于边缘缓存的大数据安全终端架构仿真分析  

Simulation Analysis of Big Data Security Terminal Architecture Based on Edge Cache

作　　者：雒福佐 袁志福 来志云[1] 胡长元 LUO fu-zuo;YUAN Zhi-fu;LAI Zhi-yun;HU Chang-yuan(Qinghai Meteorological Information Center,Xining Qinghai 810001,China;Computer College,Qinghai Normal University,Xining Qinghai 810001,China)

机构地区：[1]青海省气象信息中心,青海西宁810001 [2]青海师范大学计算机学院,青海西宁810001

出　　处：《计算机仿真》2023年第3期494-498,共5页Computer Simulation

摘　　要：网络终端架构的大量数据传输与下载易造成网络通信堵塞、网络延迟严重问题。因此,缓存技术作为一种能显著降低服务器访问压力的方法逐渐被广泛应用。提出一种大数据安全终端架构移动边缘缓存技术。建立边缘缓存计算模型,判断用户请求信息的最快传输路径类型,利用大数据爬虫技术分析用户社交网络结构,包含安全终端用户兴趣内容以及每个用户的共享行为意愿。基于此,研究信息流行度演变过程、用户所涉及的关联用户等因素,得出终端用户对相关信息的缓存概率,从而预测信息偏好传播情况,实现大数据安全终端架构移动边缘缓存。实验所得结果验证,当网络终端用户数量不断增多以及用户终端缓存空间的增大时,研究方法应用下,大数据的缓存时延均低于1.8ms。实验证明所研究技术可有效减少网络拥堵情况,减少网络传输时延,缓存效果较好。Massive data transmission and download of network terminal architecture are easy to cause network congestion and network delay.As a method of significantly reducing server access pressure,caching technology is widely applied.In this paper,a caching technology of mobile edge in big data terminal architecture was proposed.Firstly,a model of calculating edge cache was built to judge the type of the fastest transmission path of information requested by users.Secondly,big data crawler technology was used to analyze the structure of user social networks,including users'interest and their sharing behavior intention.On this basis,the evolution process of information popularity,associated users and other factors were researched to obtain the caching probability of end users on relevant information,thus predicting the dissemination of information preference.Finally,the mobile edge caching for big data terminal architecture was achieved.Experimental results verify that the cache delay of big data is less than 1.8ms when the number of network end users increases and the terminal cache space increases.In addition,the experiment proves that the technology can effectively reduce network congestion and network transmission delay,with good cache effect.

关 键 词：大数据 移动边缘缓存 安全终端架构 共享行为意愿 缓存与转发 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]