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Improving I/O Performance of Large-Page Flash Storage Systems Using Subpage-Parallel Reads

DC Field Value Language
dc.contributor.authorPark, Jisung-
dc.contributor.authorKim, Myungsuk-
dc.contributor.authorLee, Sungjin-
dc.contributor.authorKim, Jihong-
dc.date.accessioned2022-10-26T07:20:11Z-
dc.date.available2022-10-26T07:20:11Z-
dc.date.created2022-10-24-
dc.date.issued2018-08-
dc.identifier.citation2018 7TH IEEE NON-VOLATILE MEMORY SYSTEMS AND APPLICATIONS SYMPOSIUM (NVMSA 2018), pp.25-30-
dc.identifier.issn2575-2561-
dc.identifier.urihttps://hdl.handle.net/10371/186723-
dc.description.abstractHandling small read requests is important on large-page flash storage systems because small reads tend to waste the read bandwidth. We present a system level solution that avoids wasting the read bandwidth based on a new page read operation, called the subpage-parallel read (SPREAD). SPREAD achieves an optimal latency for a small read request by reading requested subpages only. By improving the read performance of applications as well as garbage collection, SPREAD improves the overall I/O performance. Experimental results show that an SPREAD-aware FTL can improve the IOPS and read latency by up to 122% and 56%, respectively.-
dc.language영어-
dc.publisherIEEE-
dc.titleImproving I/O Performance of Large-Page Flash Storage Systems Using Subpage-Parallel Reads-
dc.typeArticle-
dc.identifier.doi10.1109/NVMSA.2018.00017-
dc.citation.journaltitle2018 7TH IEEE NON-VOLATILE MEMORY SYSTEMS AND APPLICATIONS SYMPOSIUM (NVMSA 2018)-
dc.identifier.wosid000517825000005-
dc.identifier.scopusid2-s2.0-85059807143-
dc.citation.endpage30-
dc.citation.startpage25-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorKim, Jihong-
dc.type.docTypeProceedings Paper-
dc.description.journalClass1-
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