A Novel Software Deployment Method Based on Installation Packages

Hongbo Tian, Xiaoyi Zhao, Zhixing Gao, Taiqiang Lv, Xiaoshe Dong
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引用次数: 4

Abstract

The numbers of deployed computational servers in datacenters are becoming larger and larger driven by growing processing requirements, which poses a new challenge to software deployment due to the large amount of nodes involved in the deployment process. Consequently, traditional approach software deployment can not scale well because of their time-consumption properties. In order to solve this problem and provide an efficient solution, this paper proposes a new method for deploying software automatically in large-scale clusters. Softwares are classified into categories according to their installation process. We developed a software prototype SDS: Software Deployment System to verify and test the proposed method. By improving the deployment program based on the traditional installation package, the approach can resolve the difficulty of interaction between administrator and deployment processes during software deployment to achieve the automatic deployment of software. Experimental results show that the system can efficiently deploy software on Linux cluster and outperform linear growth software deployment system.
一种基于安装包的软件部署方法
随着处理需求的不断增长,数据中心中部署的计算服务器数量越来越多,由于部署过程中涉及到大量节点,这对软件部署提出了新的挑战。因此,传统的软件部署方法由于其耗时的特性而不能很好地扩展。为了解决这一问题并提供有效的解决方案,本文提出了一种大规模集群中软件自动部署的新方法。软件根据其安装过程进行分类。我们开发了一个软件原型SDS:软件部署系统来验证和测试所提出的方法。该方法通过对传统安装包部署程序的改进,解决了软件部署过程中管理员与部署进程交互困难的问题,实现了软件的自动部署。实验结果表明,该系统能够在Linux集群上高效部署软件,优于线性增长的软件部署系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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