Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

CRIM: Conditional Remapping to Improve the Reliability of Solid-State Drives with Minimizing Lifetime Loss

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Youngpil-
dc.contributor.authorPark, Hyunchan-
dc.contributor.authorHong, Cheol-Ho-
dc.contributor.authorYoo, Chuck-
dc.date.accessioned2021-09-02T21:21:47Z-
dc.date.available2021-09-02T21:21:47Z-
dc.date.created2021-06-16-
dc.date.issued2018-
dc.identifier.issn1058-9244-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/81003-
dc.description.abstractSolid-state drive (SSD) becomes popular as the main storage device. However, over time, the reliability of SSD degrades due to bit errors, which poses a serious issue. The periodic remapping (PR) has been suggested to overcome the issue, but it still has a critical weakness as PR increases lifetime loss. Therefore, we propose the conditional remapping invocation method (CRIM) to sustain reliability without lifetime loss. CRIM uses a probability-based threshold to determine the condition of invoking remapping operation. We evaluate the effectiveness of CRIM using the real workload trace data. In our experiments, we show that CRIM can extend a lifetime of SSD more than PR by up to 12.6% to 17.9% of 5-year warranty time. In addition, we show that CRIM can reduce the bit error probability of SSD by up to 73 times in terms of typical bit error rate in comparison with PR.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherHINDAWI LTD-
dc.titleCRIM: Conditional Remapping to Improve the Reliability of Solid-State Drives with Minimizing Lifetime Loss-
dc.typeArticle-
dc.contributor.affiliatedAuthorYoo, Chuck-
dc.identifier.doi10.1155/2018/8171096-
dc.identifier.scopusid2-s2.0-85054548459-
dc.identifier.wosid000446205400001-
dc.identifier.bibliographicCitationSCIENTIFIC PROGRAMMING, v.2018-
dc.relation.isPartOfSCIENTIFIC PROGRAMMING-
dc.citation.titleSCIENTIFIC PROGRAMMING-
dc.citation.volume2018-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yoo, Chuck photo

Yoo, Chuck
컴퓨터학과
Read more

Altmetrics

Total Views & Downloads

BROWSE