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基于Docker和OpenStack的高校大数据云实验室构建
引用本文:王焱,吴青林.基于Docker和OpenStack的高校大数据云实验室构建[J].实验技术与管理,2019(9):254-258.
作者姓名:王焱  吴青林
作者单位:汉江师范学院教育学院;汉江师范学院数学与计算机科学学院
基金项目:汉江师范学院2016年度重点科研计划项目(2016A03)
摘    要:该文设计了高校大数据云实验室的整体架构。该大数据云实验室以OpenStack云平台架构为基础,通过Docker容器虚拟化方式实现,重点阐述了OpenStack与Docker的集成方案以及Docker镜像制作方法,能为实验教学灵活定制Hadoop、Spark、TensorFlow、Caffe等不同的大数据实验环境。与传统大数据实验室相比,该方案具有部署快速、资源利用充分、投入成本低等特点,是一种有效的高校大数据实验室建设方案。

关 键 词:OPENSTACK  DOCKER  大数据  云实验室

Construction on university big data cloud laboratory based on Docker and OpenStack
WANG Yan,WU Qinglin.Construction on university big data cloud laboratory based on Docker and OpenStack[J].Experimental Technology and Management,2019(9):254-258.
Authors:WANG Yan  WU Qinglin
Institution:(School of Education, Hanjiang Normal University, Shiyan 442000, China;School of Mathematics and Computer Science, Hanjiang Normal University, Shiyan 442000, China)
Abstract:The overall architecture of the university big data cloud laboratory is designed. Based on the OpenStack cloud platform architecture and through the Docker container virtualization, this big data cloud laboratory focuses on the integration scheme of OpenStack and Docker and the method of Docker image making. It can flexibly customize the big data experimental environments such as Hadoop, Spark, TensorFlow, Caffe, etc., for experimental teaching. Compared with the traditional big data laboratory, this scheme has the characteristics of rapid deployment, full utilization of resources and low investment cost, which is an effective construction scheme of big data laboratory in colleges and universities.
Keywords:OpenStack  Docker  big data  cloud laboratory
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