超融合云计算基础设施规划模型

Carlos Melo, J. Dantas, P. Maciel, Danilo Oliveira, J. Araujo, Rúbens de Souza Matos Júnior, Iure Fé
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引用次数: 6

摘要

数据中心的概念已经演变,主要是因为需要利用存储、提供和维护大型计算基础设施所需的物理空间来减少开支。软件定义数据中心(SDDC)就是这种演变的结果。通过SDDC,任何服务都可以通过虚拟化更可靠、更易于维护的硬件资源来托管。如今,考虑到基于竖井的环境的部署成本,许多服务和资源可以在单个机架甚至单个机器中提供,并且具有类似的可用性。将SDDC应用到数据中心的方法之一是通过超融合。本文的主要贡献之一是为基于竖井、融合和超融合的云计算基础设施的可用性和面向容量的可用性评估开发的行为模型。获得的结果可以帮助涉众在融合和超融合环境之间进行选择,因为它们的可用性相似,但具有部署成本较低的特殊性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Models for hyper-converged cloud computing infrastructures planning
The Data Centre concept has evolved, mainly due to the need to reduce expenses with the required physical space to store, provide and maintain large computational infrastructures. The Software-Defined Data Centre (SDDC) is a result of this evolution. Through SDDC, any service can be hosted by virtualising more reliable and easier-to-keep hardware resources. Nowadays, many services and resources can be provided in a single rack, or even a single machine, with similar availability, considering the deployment costs of silo-based environments. One of the ways to apply the SDDC into a data centre is through hyper-convergence. Among the main contributions of this paper are the behavioural models developed for availability and capacity-oriented availability evaluation of silo-based, converged and hyper-converged cloud computing infrastructures. The obtained results may help stakeholders to select between converged and hyper-converged environments, due to their similar availability but with the particularity of having lower deployment costs.
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