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全闪存Ceph的混合优化策略研究OA北大核心CSTPCD

MIXED OPTIMIZATION STRATEGY OF NVME SSD CEPH

中文摘要英文摘要

Ceph是一种经典的分布式存储系统,但随着数据量级和实验要求的不断提高,Ceph在读写延迟方面的不足制约了其进一步的发展.随着固态硬盘(Solid State Disk,SSD)等新型存储介质与Ceph的结合,Ceph整体读写性能有了明显的提升.全闪存SSD是一种性能优秀的SSD,基于全闪存SSD的Ceph系统表现也更好.与传统的分布式系统的读写延迟制约于后端存储介质不同,在基于全闪存SSD的情况下,Ceph系统的软件栈也需要优化以匹配硬件读写速度的提升.因此,提出基于全闪存SSD的Ceph存储系统的混合优化策略,针对Ceph的加锁机制、Crush算法等方面进行了优化,实验结果表明性能优化效果大约在2.8%~4.5%之间.

Ceph is a classic distributed storage system,but with the continuous improvement of data and experimental requirements,the lack of read-write delay of Ceph restricts its further development.With the combination of Ceph and new storage media,such as solid state disk(SSD),the overall read-write performance of Ceph has been significantly improved.Non-volatile memory express(NVMe)SSD is an excellent SSD,and Ceph system based on NVMe SSD performs better.Different from the traditional distributed system,the read-write delay of NVMe SSD Ceph isn't l imited by hardware.This paper considers that in the case of NVMe SSD the software stack of Ceph also needs to be optimized to match the improvement of hardware read-write speed.Therefore,this paper proposes a hybrid optimization strategy for NVMe SSD Ceph:in terms of the locking mechanism of Ceph,Crush algorithm etc.The experimental results show that the improvement effect is about 2.8%~4.5%.

李博;颜靖艺

桂林航天工业学院计算机科学与工程学院 广西桂林 541004桂林信息科技学院商学院 广西桂林 541004

计算机与自动化

CephNVMe SSDCrush算法BlueStore

CephNVMe SSDCrush algorithmBlueStore

《计算机应用与软件》 2024 (006)

128-133 / 6

桂林航天工业学院校级科研基金项目(XJ20KT20).

10.3969/j.issn.1000-386x.2024.06.019

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