Research on Self-recovered Storage System Based on Intelligent Early-warning
Anyuan Deng · Jisuanji gongcheng · 2012
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.