{"title":"Artificial Intelligence Based Storage Management Architecture","authors":"Rishika Kedia, Anisha Lunawat","doi":"10.1109/CCEM.2018.00027","DOIUrl":null,"url":null,"abstract":"The explosion of data is leading to huge challenges in storage infrastructure management. A new architecture is presented where data science is used to solve complex storage management problems and the required services are delivered via the cloud providing efficiency and optimized storage management.","PeriodicalId":156315,"journal":{"name":"2018 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCEM.2018.00027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The explosion of data is leading to huge challenges in storage infrastructure management. A new architecture is presented where data science is used to solve complex storage management problems and the required services are delivered via the cloud providing efficiency and optimized storage management.