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Received:April 19, 2021 Revised:May 19, 2021
Received:April 19, 2021 Revised:May 19, 2021
中文摘要: 针对Ceph存储系统面对小文件存储时存在元数据服务器性能瓶颈、文件读取效率低等问题. 本文从小文件之间固有的数据关联性出发, 通过轻量级模式匹配算法, 提取出关联特征并以此为依据对小文件进行合并, 提高了合并文件之间的合理性, 并在文件读取时将同一合并文件内的小文件存入客户端缓存来提高缓存读取命中率, 经过实验验证本文的方案有效的提高了小文件的访问效率.
Abstract:The Ceph storage system suffers from the metadata server performance bottleneck and low file reading efficiency during small file storage. In view of this, the study takes advantage of the inherent data relevance between small files to extract related features with a lightweight pattern matching algorithm. On this basis, small files are merged, as a result of which the rationality of file merging is improved. The small files in the same merged file are stored in the client cache to improve the cache read hit rate. Experiments have verified that the proposed scheme can effectively enhance the access efficiency of small files.
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陈法河,柴小丽.基于Ceph存储系统的小文件存储优化方案.计算机系统应用,2022,31(2):108-113
CHEN Fa-He,CHAI Xiao-Li.Optimization of Small File Storage Algorithm Based on Ceph Storage System.COMPUTER SYSTEMS APPLICATIONS,2022,31(2):108-113
陈法河,柴小丽.基于Ceph存储系统的小文件存储优化方案.计算机系统应用,2022,31(2):108-113
CHEN Fa-He,CHAI Xiao-Li.Optimization of Small File Storage Algorithm Based on Ceph Storage System.COMPUTER SYSTEMS APPLICATIONS,2022,31(2):108-113