iaas的生产部署工具:一个整体模型和调查

Hélène Coullon, Christian Pérez, Dimitri Pertin
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引用次数: 11

摘要

物联网(IoT)的新兴应用是由多个模块(或服务)组成的复杂程序。为了可伸缩性、可靠性和性能,模块化应用程序分布在支持效用计算的基础设施上(例如,Cloud、Fog)。为了简单地操作这些基础设施,需要一个基础设施即服务(IaaS)管理器。OpenStack是事实上的开源解决方案,用于解决云范式的IaaS级别。然而,OpenStack本身是一个由150多个模块组成的大型模块化应用程序,很难手动部署。为了充分理解iaas是如何部署的,我们在本文中提出了一个应用程序部署过程的整体模型,该模型描述了每个步骤及其交互。然后,该模型作为分析用于在生产环境中部署OpenStack的五种不同部署工具的基础:Kolla、Enos、Juju、Kubernetes和TripleO。最后,进行了比较,并对结果进行了讨论,以扩展本文的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Production Deployment Tools for IaaSes: An Overall Model and Survey
Emerging applications for the Internet of Things (IoT) are complex programs which are composed of multiple modules (or services). For scalability, reliability and performance, modular applications are distributed on infrastructures that support utility computing (e.g., Cloud, Fog). In order to simply operate such infrastructures, an Infrastructure-as-a-Service (IaaS) manager is required. OpenStack is the de-facto open-source solution to address the IaaS level of the Cloud paradigm. However, OpenStack is itself a large modular application composed of more than 150 modules that make it hard to deploy manually. To fully understand how IaaSes are deployed today, we propose in this paper an overall model of the application deployment process which describes each step with their interactions. This model then serves as the basis to analyse five different deployment tools used to deploy OpenStack in production: Kolla, Enos, Juju, Kubernetes, and TripleO. Finally, a comparison is provided and the results are discussed to extend this analysis.
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