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dc.contributor.author Hong, Duwon -
dc.contributor.author Ha, Keonsoo -
dc.contributor.author Ko, Minseok -
dc.contributor.author Chun, Myoungjun -
dc.contributor.author Kim, Yoona -
dc.contributor.author Lee, Sungjin -
dc.contributor.author Kim, Jihong -
dc.date.accessioned 2022-01-18T12:00:01Z -
dc.date.available 2022-01-18T12:00:01Z -
dc.date.created 2022-01-18 -
dc.date.issued 2021-08 -
dc.identifier.citation ACM Transactions on Storage, v.17, no.3, pp.1 - 24 -
dc.identifier.issn 1553-3077 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/16127 -
dc.description.abstract A recent ultra-large SSD (e.g., a 32-TB SSD) provides many benefits in building cost-efficient enterprise storage systems. Owing to its large capacity, however, when such SSDs fail in a RAID storage system, a long rebuild overhead is inevitable for RAID reconstruction that requires a huge amount of data copies among SSDs. Motivated by modern SSD failure characteristics, we propose a new recovery scheme, called reparo, for a RAID storage system with ultra-large SSDs. Unlike existing RAID recovery schemes, reparo repairs a failed SSD at the NAND die granularity without replacing it with a new SSD, thus avoiding most of the inter-SSD data copies during a RAID recovery step. When a NAND die of an SSD fails, reparo exploits a multi-core processor of the SSD controller in identifying failed LBAs from the failed NAND die and recovering data from the failed LBAs. Furthermore, reparo ensures no negative post-recovery impact on the performance and lifetime of the repaired SSD. Experimental results using 32-TB enterprise SSDs show that reparo can recover from a NAND die failure about 57 times faster than the existing rebuild method while little degradation on the SSD performance and lifetime is observed after recovery. © 2021 Association for Computing Machinery. -
dc.language English -
dc.publisher Association for Computing Machinary, Inc. -
dc.title Reparo: A Fast RAID Recovery Scheme for Ultra-large SSDs -
dc.type Article -
dc.identifier.doi 10.1145/3450977 -
dc.identifier.wosid 000754611000006 -
dc.identifier.scopusid 2-s2.0-85122597968 -
dc.type.local Article(Overseas) -
dc.type.rims ART -
dc.description.journalClass 1 -
dc.citation.publicationname ACM Transactions on Storage -
dc.contributor.nonIdAuthor Hong, Duwon -
dc.contributor.nonIdAuthor Ha, Keonsoo -
dc.contributor.nonIdAuthor Ko, Minseok -
dc.contributor.nonIdAuthor Chun, Myoungjun -
dc.contributor.nonIdAuthor Kim, Yoona -
dc.contributor.nonIdAuthor Kim, Jihong -
dc.identifier.citationVolume 17 -
dc.identifier.citationNumber 3 -
dc.identifier.citationStartPage 1 -
dc.identifier.citationEndPage 24 -
dc.identifier.citationTitle ACM Transactions on Storage -
dc.description.isOpenAccess N -
dc.subject.keywordAuthor Die failure -
dc.subject.keywordAuthor ultra-large SSD -
dc.subject.keywordAuthor RAID -
dc.subject.keywordAuthor storage system -
dc.subject.keywordPlus HIGH-PERFORMANCE -
dc.contributor.affiliatedAuthor Hong, Duwon -
dc.contributor.affiliatedAuthor Ha, Keonsoo -
dc.contributor.affiliatedAuthor Ko, Minseok -
dc.contributor.affiliatedAuthor Chun, Myoungjun -
dc.contributor.affiliatedAuthor Kim, Yoona -
dc.contributor.affiliatedAuthor Lee, Sungjin -
dc.contributor.affiliatedAuthor Kim, Jihong -
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Department of Electrical Engineering and Computer Science Data-Intensive Computing Systems Laboratory 1. Journal Articles

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