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Multicast and customized deployment of large-scale operating systems

机译:多播和定制部署大型操作系统

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摘要

With the recent paradigm shift of cloud computing, deployment of operating systems (OSs) onto a large-scale computer network is becoming necessary. Note that there are usually numerous nodes with various functions in a cloud computing system. Thus, it is usually required to deploy different operating systems onto different nodes. In such a customized setting, conventional techniques of using unicast deployment to distribute a massive cloud OS onto thousands of nodes is time consuming and bandwidth-intensive. In this work, we thus propose a multicast deployment approach so as to significantly improve deployment efficiency. Furthermore, our multicast deployment approach can leverage existing configurations of the unicast counterpart. Specifically, the advantageous features of the proposed approach include the support of a reliable multicast protocol, a heterogeneous infrastructure, and cloud hypervisor environments. To evaluate the feasibility of the proposed approach in practical applications, CentOS and Ubuntu are used when implementing our deployment approach on several tens of nodes. Empirical studies show that both the required time for the entire distribution process, i.e., from starting delivery until the OS is ready, and the network bandwidth consumption are significantly reduced as compared with conventional unicast approaches. Consequently, less effort is required on monitoring and maintenance for system administrators.
机译:随着最近云计算的范式转移,将操作系统(OS)部署到大型计算机网络上变得很有必要。注意,在云计算系统中通常有许多具有各种功能的节点。因此,通常需要将不同的操作系统部署到不同的节点上。在这样的定制设置中,使用单播部署将大型云OS分布到数千个节点上的常规技术既费时又带宽密集。因此,在这项工作中,我们提出了一种多播部署方法,以大大提高部署效率。此外,我们的多播部署方法可以利用单播副本的现有配置。具体地,所提出的方法的有利特征包括对可靠的多播协议,异构基础设施和云管理程序环境的支持。为了评估该方法在实际应用中的可行性,在数十个节点上实施我们的部署方法时,使用了CentOS和Ubuntu。经验研究表明,与传统的单播方法相比,整个分发过程所需的时间,即从开始交付到操作系统就绪所需的时间,以及网络带宽的消耗都大大减少了。因此,系统管理员的监视和维护工作量减少。

著录项

  • 来源
    《Automated software engineering》 |2014年第4期|443-460|共18页
  • 作者单位

    Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan,Cloud Service Technology Center, Industrial Technology Research Institute, Tainan, Taiwan;

    Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan;

    Cloud Service Technology Center, Industrial Technology Research Institute, Tainan, Taiwan;

    Cloud Service Technology Center, Industrial Technology Research Institute, Tainan, Taiwan;

    Cloud Service Technology Center, Industrial Technology Research Institute, Tainan, Taiwan;

    Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cloud computing; Deployment; Multicast; Preboot execution environment;

    机译:云计算;部署;组播;预启动执行环境;

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