Seeking Cost-Optimal Infrastructure Size for Distributed Filesystems: A Ceph Case Study

2026-09-22

AI Summary

本文通过实证方法研究了CPU核心数、RAM量和磁盘带宽对Ceph分布式文件系统性能的影响，旨在寻找成本最优的基础设施规模。

Abstract

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.

Problem

• Distributed Filesystems
• Ceph
• Hardware Configuration
• Performance Prediction
• I/O Performance

Innovation

• hardware configuration
• performance evaluation
• Ceph
• cost-effective storage system
• empirical method