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LIRS-WSR: Integration of LIRS and Writes Sequence Reordering for flash memory

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dc.contributor.authorJung, Hoyoung-
dc.contributor.authorYoon, Kyunghoon-
dc.contributor.authorShim, Hyoki-
dc.contributor.authorPark, Sungmin-
dc.contributor.authorKang, Sooyong-
dc.contributor.authorCha, Jae Hyuk-
dc.date.accessioned2022-12-21T06:54:38Z-
dc.date.available2022-12-21T06:54:38Z-
dc.date.created2022-09-16-
dc.date.issued2007-08-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179745-
dc.description.abstractMost of the mobile devices are equipped with NAND flash memories even if it has characteristics of not-in-place update and asymmetric I/O latencies among read, write, and erase operations: a write/erase operation is much slower than a read operation in a flash memory. For the overall performance of a flash memory system, the buffer replacement policy should consider the above severely asymmetric I/O latencies. Existing buffer replacement algorithms such as LRU, LIRS, and ARC cannot deal with the above problems. This paper proposes an add-on buffer replacement policy that enhances LIRS by reordering writes of not-cold dirty pages from the buffer cache to flash storage. The enhances LIRS-WSR algorithm focuses on reducing the number of write/erase operations as well as preventing serious degradation of buffer hit ratio. The trace-driven simulation results show that, among the existing buffer replacement algorithms including LRU, CF-LRU, ARC, and LIRS, our LIRSWSR is best in almost cases for flash storage systems.-
dc.language영어-
dc.language.isoen-
dc.publisherSpringer Verlag-
dc.titleLIRS-WSR: Integration of LIRS and Writes Sequence Reordering for flash memory-
dc.typeArticle-
dc.contributor.affiliatedAuthorCha, Jae Hyuk-
dc.identifier.doi10.1007/978-3-540-74472-6_18-
dc.identifier.scopusid2-s2.0-38049060375-
dc.identifier.bibliographicCitationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.4705 LNCS, no.PART 1, pp.224 - 237-
dc.relation.isPartOfLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.volume4705 LNCS-
dc.citation.numberPART 1-
dc.citation.startPage224-
dc.citation.endPage237-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusAlgorithms-
dc.subject.keywordPlusEmbedded systems-
dc.subject.keywordPlusInput output programs-
dc.subject.keywordPlusMobile devices-
dc.subject.keywordPlusNAND circuits-
dc.subject.keywordPlusBuffer replacement algorithm-
dc.subject.keywordPlusWrites Sequence Reordering-
dc.subject.keywordPlusFlash memory-
dc.subject.keywordAuthorBuffer replacement algorithm-
dc.subject.keywordAuthorEmbedded system-
dc.subject.keywordAuthorFlash memory-
dc.subject.keywordAuthorStorage system-
dc.identifier.urlhttps://link.springer.com/chapter/10.1007/978-3-540-74472-6_18-
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