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Design of a High-Performance, High-Endurance Key-Value SSD for Large-Key Workloads

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dc.contributor.authorPark, Chanyoung-
dc.contributor.authorLiu, Chun-Yi-
dc.contributor.authorKang, Kyungtae-
dc.contributor.authorKandemir, Mahmut-
dc.contributor.authorChoi, Wonil-
dc.date.accessioned2023-12-11T06:00:14Z-
dc.date.available2023-12-11T06:00:14Z-
dc.date.issued2023-07-
dc.identifier.issn1556-6056-
dc.identifier.issn1556-6064-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/116212-
dc.description.abstractCurrent KV-SSD design assumes a specific range of typical workloads, where the size of values is quite large while that of keys is relatively small. However, we find that (i) there exist another spectrum of workloads, whose key sizes are relatively large, compared to their value sizes, and (ii) the current KV-SSD design suffers from long tail latencies and low storage utilization under such large-key workloads. To this end, we present novel design of a KV-SSD (called LK-SSD), which can reduce tail latences and increase storage utilization under large-key workloads, and add an enhancement to it for longer device lifetime. Through extensive experiments, we show that LK-SSD is more suitable design for the large-key workloads, and also available for the typical workloads. © 2023 IEEE.-
dc.format.extent4-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleDesign of a High-Performance, High-Endurance Key-Value SSD for Large-Key Workloads-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/LCA.2023.3282276-
dc.identifier.scopusid2-s2.0-85161025890-
dc.identifier.wosid001103349700001-
dc.identifier.bibliographicCitationIEEE Computer Architecture Letters, v.22, no.2, pp 149 - 152-
dc.citation.titleIEEE Computer Architecture Letters-
dc.citation.volume22-
dc.citation.number2-
dc.citation.startPage149-
dc.citation.endPage152-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Hardware & Architecture-
dc.subject.keywordAuthorKey-value SSD-
dc.subject.keywordAuthorlarge-key workloads-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/10143084-
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Kang, Kyung tae
ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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