基于对象分组的集群存储系统可靠性分析模型  

Reliability analysis model of cluster storage system by object grouping

作　　者：刘仲[1] 李宗伯[1] 阳柳[1] 

机构地区：[1]国防科学技术大学计算机学院,长沙410073

出　　处：《计算机应用》2008年第1期36-38,共3页journal of Computer Applications

基　　金：国家自然科学基金资助项目(60503042)

摘　　要：可靠性问题是研究大规模集群存储系统的一个重要方面。借鉴RAID的方法,提出基于对象分组在算法一级实现数据冗余分布的高可靠数据对象布局算法。在数据对象和存储节点失效时,利用冗余数据重构数据对象和存储节点,有效保证存储系统的高可用性。采用马尔可夫激励模型对存储系统进行定量的可用性分析,计算结果表明该方法是有效的。The reliability of the large-scale cluster storage system is one important research aspect in the related domain. A high-availability data objects placement algorithm was proposed. It groups objected into redundancy sets using RAID at the algorithm level. The redundancy allowed us to reconstruct any corrupted data objects and storage nodes when it failed and assured efficiently the high availability of storage system. The availability of storage system was quantitatively analyzed by using Markov reward model, and the computing results indicate the algorithm is efficient.

关 键 词：集群存储系统 数据布局 可靠性 马尔可夫模型 

分 类 号：TP302.8[自动化与计算机技术—计算机系统结构]