Next‐generation cloud data centers are based on software‐defined data center infrastructures that promote flexibility, automation, optimization, and scalability. The Redfish standard and the Intel Rack Scale Design technology enable software‐defined infrastructure and disaggregate bare‐metal compute, storage, and networking resources into virtual pools to dynamically compose resources and create virtual performance‐optimized data centers (vPODs) tailored to workload‐specific demands. This article proposes four chassis design configurations based on Distributed Management Task Force's Redfish industry standard applied to compose vPOD systems, namely, a fully shared design, partially shared homogeneous design, partially shared heterogeneous design, and not shared design; their main difference is based on the used hardware disaggregation level. Furthermore, we propose models that combine reliability block diagram and stochastic Petri net modeling approaches to represent the complexity of the relationship between the pool of disaggregated hardware resources and their power and cooling sources in a vPOD. These four proposed design configurations were analyzed and compared in terms of availability and component's sensitivity indexes by scaling their configurations considering different data center infrastructure. From the obtained results, we can state that, in general, when one increases the hardware disaggregation, availability is improved. However, after a given point, the availability level of the fully shared, partially shared homogeneous, and partially shared heterogeneous configurations remain almost equal, while the not shared configuration is still able to improve its availability.

中文翻译：

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在下一代云数据中心中组成虚拟性能优化数据中心系统的设计配置的可用性分析

下一代云数据中心基于软件定义的数据中心基础设施，可提高灵活性、自动化、优化和可扩展性。Redfish 标准和英特尔机架规模设计技术支持软件定义的基础设施，并将裸机计算、存储和网络资源分解到虚拟池中，以动态组合资源并创建针对特定工作负载量身定制的虚拟性能优化数据中心 (vPOD)需要。本文基于分布式管理任务组的 Redfish 行业标准提出了四种用于组成 vPOD 系统的机箱设计配置，即完全共享设计、部分共享同构设计、部分共享异构设计和非共享设计；它们的主要区别在于所使用的硬件分解级别。此外，我们提出了结合可靠性框图和随机 Petri 网建模方法的模型，以表示 vPOD 中分解的硬件资源池与其电源和冷却源之间关系的复杂性。考虑到不同的数据中心基础设施，通过扩展它们的配置，在可用性和组件的敏感性指标方面对这四种提议的设计配置进行了分析和比较。从获得的结果中，我们可以说，一般来说，当增加硬件分解时，可用性会提高。但是，在给定点之后，完全共享、部分共享的同构和部分共享的异构配置的可用性级别几乎保持相等，