基于Docker的分布式疫情数据可视化平台管理系统  

Docker-based Distributed Epidemic Data Visualization Platform Management System

作　　者：巩如悦 巩熠 李泽沁 吴宏晶 刘建文 Gong Ruyue;Gong Yi;Li Zeqin;Wu Hongjing;Liu Jianwen(Nersoft Institute Guangdong,Fushan Guangdong 528000,China;Qingdao University of Science and Technology,Qingdao Shandong 266061,China)

机构地区：[1]广东东软学院,广东佛山528000 [2]青岛科技大学,山东青岛266061

出　　处：《山西电子技术》2024年第3期84-87,共4页Shanxi Electronic Technology

基　　金：广东大学生科技创新培育专项资金资助项目(Pdjh2022b0607)。

摘　　要：新冠疫情数据可视化平台以可视化的方式为人们实时展现疫情动态,给使用者提供便捷,但随着项目体系的复杂化、模块层次增多,加大了运维管理和开发成本。因此,提出基于Docker的分布式疫情数据可视化平台管理系统,将网络爬虫模块、数据清洗模块、可视化模块存放在不同的容器中,各容器相互独立并发运行。系统设置生命周期管理模块、监控与警告模块、访问控制模块用于管理容器,以提高平台的健壮性,更好的提供可视化服务。The novel coronavirus data visualization platform displays real-time epidemic dynamics in a visual way and provides convenience to users.However,with the complexity of the project system and the increase of module levels,operation and maintenance management and development costs are increased.Therefore,a distributed epidemic data visualization platform management system based on Docker is proposed in this paper.The web crawler module,data cleaning module and visualization module are stored in different containers,and each container rans independently and concurrently.The system sets life cycle management module,monitoring and warning module,and access control module for container management so as to improve the robustness of the platform and provide better visual services.

关 键 词：DOCKER 容器管理 分布式 疫情数据 可视化平台管理系统 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]