了解采用全闪存存储的超融合云的Ceph块存储性能
Understanding the Performance of Ceph Block Storage for Hyper-Converged Cloud with All Flash Storage
摘要：
超融合云是指运营商在同一组物理服务器上运行计算和存储服务的架构。尽管超融合设计带来了许多好处，但它使关键的运营任务（如容量规划和成本分析）变得相当复杂。如果我们考虑一个复杂的分布式系统，如Ceph，随着SSD驱动器的激增，这个问题变得更加繁重。在本文中，我们的目标是基于全面的微基准测试来回答其中的一些问题，从而更好地了解Ceph在具有全闪存存储的超融合云中的行为。我们报告了基于该研究的发现，设计了一个成本模型，并比较了超融合架构与专用存储架构的成本。此外，我们还根据过去几年与AT&T许多团队的互动总结了我们的经验。
英文摘要：
Hyper-converged cloud refers to an architecture that an operator runs compute and storage services on the same set of physical servers. Although the hyper-converged design comes with a number of benefits, it makes crucial operational tasks, such as capacity planning and cost analysis, fairly complicated. The problem becomes more onerous if we consider a complex distributed system, such as Ceph, for the cloud with the proliferation of SSD drives. In this paper, we aim to answer some of these questions based on comprehensive microbenchmarks, and consequently better understand the behavior of Ceph in a hyper-converged cloud with all-flash storage. We reported our findings based on the study, devised a cost model and compared the cost of hyper-converged architecture with dedicated storage architecture. Additionally we summarized our experience based on the interactions with many teams at AT&T in the past couple of years.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
