基于Docker容器技术的大数据实验室构建与探索  

Construction and Exploration of Big Data Laboratory Based on Docker Container Technology

作　　者：杨碎明 邓友生 贾寒霜 YANG Suiming;DENG Yousheng;JIA Hanshuang(Xi'an Traffic Engineering Institute,Xi'an 710300)

机构地区：[1]西安交通工程学院,陕西省西安市710300

出　　处：《西安交通工程学院学术研究》2021年第2期41-45,共5页Academic Research of Xi'an Traffic Engineering Institute

摘　　要：在互联网信息时代,云计算大数据几乎成为所有学科领域的关键技术。利用大数据技术预测未来趋势,已成为国家战略发展计划。然而这种计划所需实验室建设费用高昂,在人才培养过程中实践教学环节遇到诸多困难。针对这种问题,提出了不增加投资情况下,采用Docker容器技术,Hadood镜像制作,Container容器运行等实验技术细节,最终搭建Hadoop的集群大数据平台,并获得了一套可解决问题的方案。实践结果表明,这种实验室预方案建设无需较高配置的服务器设备,节省大量开支,更有助于提高实验管理员工作效率,实践教学效果良好,为高校大数据实验室建设的提供了新思路。In the Internet information era,cloud computing big data has become a critical technology in almost all fields.Using big data technology to predict future trends by big data technology has become a national strategic development plan.However,However,the cost of laboratory construction is very high,and many difficulties are encountered in practical teaching in the process of talent training.In order to solve this problem without any additional investment,this paper proposes a new scheme employing experimental and technical details like Docker Container technique,Hadoop mirror,the operation of Container vessel and etc.to ultimately set up Hadoop cluster big data platform and obtain a set of solutions to the problems.Research shows that the construction of laboratory preliminary plan does not need high configuration of the server equipment,but it is more economical,and able to improve the work efficiency of laboratory managers.Besides,it enables the effectiveness of practical teaching to be great,and also provides a new idea for the construction of big data laboratory in colleges and universities.

关 键 词：大数据实验室 Docker容器技术 Hdoop集群 镜像 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]