基于智能预警的自恢复存储系统研究  被引量:1

Research on Self-recovered Storage System Based on Intelligent Early-warning

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作  者:田俊峰[1] 彭虎[1] 邓安远[1] 

机构地区:[1]九江学院信息科学与技术学院,江西九江332005

出  处:《计算机工程》2012年第10期273-276,共4页Computer Engineering

摘  要:为提高磁盘阵列存储的可靠性,提出一种基于智能预警的自恢复存储系统。在对磁盘S.M.A.R.T信息实时监测采集的基础上,利用机器学习方法对磁盘故障进行预测,对于预警磁盘采取以数据为中心的自修复迁移保护策略。分析结果表明,该系统能提高存储可靠性,数据迁移过程对用户透明,可用性较强。Based on the intelligent early-warning,as self-recovered storage system is proposed to improve the reliability of Redundant Arrays of Inexpensive Disks(RAID) storage.This system takes advantage of machine learning methods to predict disk failures by collecting real-time Self-monitoring,Analysis and Reporting Technology(S.M.A.R.T) information on disks.A data-centric protection strategy using auto data migration is also implemented in the system to protect disks which predicts failure-prone.Analysis results show that this system can highly enhance the reliability of RAID storage,achieve access transparency for users and improve the availability of the system.

关 键 词:存储可靠性 自恢复存储 智能预警 存储系统 磁盘故障 

分 类 号:TP277[自动化与计算机技术—检测技术与自动化装置]

 

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