[1]赵乐乐,黄刚,马越. 基于Docker的Hadoop平台架构研究[J].计算机技术与发展,2016,26(09):99-103.
　ZHAO Le-le,HUANG Gang,MA Yue. Research on Hadoop Platform Based on Docker[J].,2016,26(09):99-103.
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 基于Docker的Hadoop平台架构研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年09期
页码:
99-103
栏目:
应用开发研究
出版日期:
2016-09-10

文章信息/Info

Title:
 Research on Hadoop Platform Based on Docker
文章编号:
1673-629X（2016)09-0099-05
作者:
 赵乐乐; 黄刚; 马越
 南京邮电大学 计算机学院
Author(s):
 ZHAO Le-le; HUANG Gang; MA Yue
关键词:
 ; Hadoop; 虚拟化; 容器; Docker
Keywords:
 ; Hadoop; virtualization; container; Docker
分类号:
TP31
文献标志码:
A
摘要:
 Hadoop作为云计算中重要的大数据处理平台,需要较高的读写速率。传统的虚拟化技术对于物理主机的资源利用率,无法达到真实物理主机的水平。同时,传统虚拟化技术难以灵活配置文件和自动化创建、部署机制。容器是基于共享Linux内核的一种虚拟化技术,能够达到接近物理主机的资源利用率。 Docker是一种轻量级新兴的虚拟化容器技术,在复杂的集群系统的搭建方面,具有可移植、易使用、跨平台等优势。所以,在复杂的分布式应用集群的部署中,Docker能够快速、准确、标准化封装应用程序并自动化部署整个运行环境。因此,Docker是容器虚拟化技术下一个相对成熟的实现方案。通过实验验证了Docker相比传统虚拟化技术在读写性能上的优势,并构建了基于Docker的Hadoop平台,讨论了在Docker上构建Hadoop的优势。
Abstract:
 Hadoop,as an important big data processing platform,needs higher I/O rate. For the resource utilization of physical host,the traditional virtualization technology cannot reach the level of real physical host. Meanwhile,it is difficult to configure the files flexibly and create and deploy mechanisms automatically. The container is a virtualization technology based on sharing Linux kernel,which can reach the resource utilization close to the physical host. Docker emerging is a lightweight container of virtualization technology,and in the com-plex cluster system construction,it is portable and easy to use,with cross-platform. So,in the complicated distributed deployment of ap-plication clusters,Docker can be rapid,accurate,and standardized packaged applications and deploy automatically whole runtime environ-ment. Therefore,Docker is one of the mature implementation scheme of the container virtualization technology. It is verified by the exper-iment that the Docker is better than traditional virtualization technology in reading/writing performance,and the Hadoop platform based on the Docker is established and the advantage of Hadoop on Docker is discussed.

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更新日期/Last Update: 2016-10-25