摘要： 设计适用于GRASS海量存储系统的元数据服务器，分析并优化3个影响元数据性能的因素：元数据组织方式，通信性能和搜索效率，利用Bloom Filter算法进行名字空间搜索，在此基础上实现目标系统的文件名查询优化。实验结果证明，目标系统的元数据处理性能得到明显提升，基本满足大规模高能物理计算的需求。
关键词:
海量存储系统,
高能物理计算,
元数据服务,
元数据搜索,
Bloom Filter算法
Abstract: This paper designs and implements a metadata server of GRASS mass storage system, analyzes and optimizes three performance factors of the metadata service: Metadata organization, communication performance and search efficiency, and introduces the implementation of Bloom Filter algorithm in name space search. Experimental results show that, performance of the target system is significantly improved, and it basically fulfills the requirement for large-scale computation of high energy physics.
Key words:
mass storage system,
computation of high energy physics,
metadata service,
metadata search,
Bloom Filter algorithm
中图分类号:
汪璐, 程耀东, 陈刚. 海量存储系统元数据服务器的设计及性能优化[J]. 计算机工程, 2012, 38(2): 1-3.
HONG Lu, CHENG Yao-Dong, CHEN Gang. Design and Performance Optimization of Metadata Server in Mass Storage System[J]. Computer Engineering, 2012, 38(2): 1-3.