摘要
数据科学和大数据分析实验平台搭建需要解决软件配置复杂、硬件设备要求较高、管理部署不稳定性等问题,基于Docker的轻量级虚拟化实验平台凭借Docker的应用虚拟化方式,能够快速搭建一套可复用的数据分析应用运行环境。在此基础上,结合Kubernetes的容器管理基于Docker提出一种基于Docker虚拟化数据分析处理实验平台搭建的一体化解决方案,可以延长终端硬件设备的使用周期,缩短应用同传时间,使得各个应用的部署环境更加独立,通过提供应用程序镜像的方式,将实验实训环境分发给学生,具有快速搭建、快速部署、降低设备费用的优势。
The construction of data science and large data analysis experiment platform needs to solve the problem of complex configuration of software,high requirement of hardware equipment,and instability of management deployment.The lightweight virtual experimental platform based on Docker can quickly build a set of data analysis application environment by virtue of the application virtualization of Docker.Based on Kubernetes s container management,a solution based on Docker is proposed based on Docker virtual data analysis and processing experiment platform.It can prolong the use cycle of terminal hardware,shorten the application deployment time,and make the deployment environment of each application more independent.By providing the application mirroring,the experimental training environment is distributed to students,which has the advantages of rapid construction,rapid deployment,and lower equipment costs.
作者
王敏
WANG Min(Department of Software Engineering,Harbin University of Science and Technology RongCheng Campus,Rongcheng 264300,China)
出处
《实验室科学》
2019年第3期104-106,110,共4页
Laboratory Science
基金
2017年度黑龙江省教育科学“十三五”规划项目(项目编号:GBD1317130)
关键词
DOCKER
平台建设
虚拟化
部署
Docker
platform construction
virtualization
deployment
