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An Improved Method of Cache Prefetching for Small Files in Ceph System

机译:Ceph系统中小文件的缓存预取方法

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To improve the inefficiency of file access for massive small files in the distributed file system, prefetching the small files into the cache is the most conventional method to be adopted. As the number of cached files is proportional to time, there will be many redundant small files which occupy the cache space and haven't been read for a long time, the hit ratio will be decreased in this situation. To solve this defect, we proposed an improved LRU-W algorithm based on the file read times and the time interval of file read and designed a L2 cache optimization mechanism which can search file in the linked list with higher priority firstly and remove the files with lighter weight factor from the linked list with lower priority dynamically. The experiments and its result show that when prefetching massive small files, the proposed method in this paper can increase the hit ratio of cached files and improve the overall performance of Ceph file system.
机译:为了提高分布式文件系统中大量小文件的文件访问效率,将小文件预取到缓存中是最常规的方法。随着缓存文件的数量与时间成比例,将有许多冗余的小文件占据缓存空间,并且在这种情况下,命中比率将减少命中比率。为了解决这一缺陷,我们提出了一种基于文件读取时间的改进的LRU-W算法和文件的时间间隔读取和设计了一个L2高速缓存优化机制,其可以首先具有更高的优先级的链接列表中搜索文件并删除文件从链接列表中具有较轻的重量因子动态较低。实验及其结果表明,当预取大量小文件时,本文提出的方法可以提高缓存文件的命中率,提高Ceph文件系统的整体性能。

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