基于Docker和OpenStack的高校大数据云实验室构建  

Construction on university big data cloud laboratory based on Docker and OpenStack

作　　者：王焱 吴青林 WANG Yan;WU Qinglin(School of Education, Hanjiang Normal University, Shiyan 442000, China;School of Mathematics and Computer Science, Hanjiang Normal University, Shiyan 442000, China)

机构地区：[1]汉江师范学院教育学院,湖北十堰442000 [2]汉江师范学院数学与计算机科学学院,湖北十堰442000

出　　处：《实验技术与管理》2019年第9期254-258,共5页Experimental Technology and Management

基　　金：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。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.

关 键 词：OPENSTACK DOCKER 大数据 云实验室 

分 类 号：G482[文化科学—教育学] G648.4[文化科学—教育技术学]