一种结合SSD特征的分布式文件系统元数据优化技术

Metadata Optimization Method for Distributed File System Based on SSD Feature

分布式文件系统的元数据性能是制约系统整体性能的关键瓶颈.尽管固态盘(Solid State Drive,SSD)提供高速的数据访问,但是由于元数据呈现粒度小、更新频繁的特征,SSD的性能表现仍然较差,同时导致寿命损耗加速.基于SSD存储介质的写入特性,提出了面向分布式文件系统元数据的数据管理机制和更新方法,包括元数据内存页面的重新组织和管理、多次变化数据的迭代更新、元数据写入方式的进一步优化等.所提方法减少了元数据更新的写入频次和实际写入量,减少了随机写操作,提高了元数据写入性能.

The performance of metadata is a key design issue in a distributed file system. Although SSDs provide high-speed data access,the performance and endurance of SSDs are still poor due to the small granularity of metadata and the frequent updating. Based on the writing characteristics of SSD storage media,this paper puts forward the data management mechanisms and updating methods for metadata of distributed file systems. Those mechanisms contain the reorganization and management of metadata pages,iterative updating of multiple changed data,metadata writing mode optimization and so on. The proposed methods reduce the write frequency,the actual writesize of the metadata updates and the number of random write operations,and thereby improve the metadata write performance.