寻求分布式文件系统的最优成本基础设施规模：以Ceph为例的研究
Seeking Cost-Optimal Infrastructure Size for Distributed Filesystems: A Ceph Case Study
浏览论文内容
中文总结 AI 辅助
本文提出一种经验方法，以Ceph为例定量评估硬件配置对分布式文件系统性能的影响，发现减少资源不总成比例损失性能，为成本优化提供指导。
中文摘要 AI 辅助
分布式文件系统（DFS）是现代计算环境的关键组成部分，其性能对于所有依赖它们的设施的成功至关重要。然而，仅基于存储系统硬件来预测DFS的I/O性能并非易事。在本文中，我们通过提出一种经验方法来解决这一挑战，该方法试图定量评估硬件配置选择如何影响DFS的性能，并以Ceph作为案例研究。我们研究了三个硬件参数的影响——CPU核心数、内存量和磁盘带宽。为了控制这些变量，我们依赖Linux热插拔接口和Cgroups，避免了额外的软件开销。我们的结果表明，对于所分析的工作负载，减少硬件资源并不总是导致成比例的性能损失。该方法为设计成本效益高的分布式存储系统提供了实用见解，并且具有足够的通用性，可应用于其他文件系统。
英文摘要
Distributed Filesystems (DFS) are a crucial component of modern computing environments, and their performance is critical to the success of all the facilities that rely on them. However, predicting the DFS I/O performance solely based on the storage system hardware is not trivial. In this paper, we address this challenge by presenting an empirical method that tries to quantitatively assess how hardware configuration choices influence the performance of a DFS using Ceph as a case study. We investigate the influence of three hardware parameters-number of CPU cores, amount of RAM, and disk bandwidth. To control these variables, we relied on the Linux hotplug interface and Cgroups, avoiding additional software overhead. Our results reveal that for the analyzed workloads, decreasing hardware resources does not always yield proportional performance losses. This method offers practical insights for designing cost-effective distributed storage systems, remaining general enough to be applied to other filesystems.
发表机构
- Univeristy of Trieste（的里雅斯特大学）
- Area Science Park（科学园区）
机构由 AI 辅助整理，请以论文原文为准。
