Alan Yang, AmirEmad Ghassami, E. Rosenbaum, N. Kiyavash
{"title":"Data-driven Reliability for Datacenter Hard Disk Drives","authors":"Alan Yang, AmirEmad Ghassami, E. Rosenbaum, N. Kiyavash","doi":"10.31399/asm.edfa.2019-2.p016","DOIUrl":null,"url":null,"abstract":"\n The problem of constructing reliable systems out of unreliable components is usually dealt with through a combination of redundancy and early retirement. This article assesses the potential of an intelligent failure prediction system that depends more on diagnostic data and analytics than built-in redundancy and costly replacement.","PeriodicalId":431761,"journal":{"name":"EDFA Technical Articles","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EDFA Technical Articles","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31399/asm.edfa.2019-2.p016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The problem of constructing reliable systems out of unreliable components is usually dealt with through a combination of redundancy and early retirement. This article assesses the potential of an intelligent failure prediction system that depends more on diagnostic data and analytics than built-in redundancy and costly replacement.