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An efficient and parallel file defragmentation scheme for flash-based SSDs

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dc.contributor.authorZhu, Guangyu-
dc.contributor.authorLee, Jeongeun-
dc.contributor.authorSon, Yongseok-
dc.date.accessioned2022-06-02T05:41:03Z-
dc.date.available2022-06-02T05:41:03Z-
dc.date.issued2022-04-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/58201-
dc.description.abstractFile fragmentation can increase I/O latency and decrease I/O throughput because reading a fragmented file can be followed by reading several scattered blocks. Thus, a defragmentation process is required to provide better I/O performance. However, an existing defragmentation process can be time-consuming on SSDs since it is based on HDD without consideration of SSD characteristics. For example, the process is performed by a single defragger in a serialized manner. To accelerate this defragmentation process, we propose an efficient and parallel file defragmentation scheme for flash-based SSDs. Our scheme exploits the internal parallelism of SSDs to reduce the execution time of the defragmentation process. To do this, we devise multiple defraggers to perform defragmentation and I/O operations for several files in parallel. We implement our scheme and evaluate it on a real machine with a flash-based SSD. The evaluation results show that the proposed scheme can reduce the execution time by up to 2.96x compared with an existing defragmentation tool, e4defrag. © 2022 Owner/Author.-
dc.format.extent4-
dc.language영어-
dc.language.isoENG-
dc.publisherAssociation for Computing Machinery-
dc.titleAn efficient and parallel file defragmentation scheme for flash-based SSDs-
dc.typeArticle-
dc.identifier.doi10.1145/3477314.3507225-
dc.identifier.bibliographicCitationProceedings of the ACM Symposium on Applied Computing, pp 1208 - 1211-
dc.description.isOpenAccessN-
dc.identifier.wosid000946564100167-
dc.identifier.scopusid2-s2.0-85130408632-
dc.citation.endPage1211-
dc.citation.startPage1208-
dc.citation.titleProceedings of the ACM Symposium on Applied Computing-
dc.type.docTypeProceedings Paper-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.description.journalRegisteredClassscopus-
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소프트웨어대학 (소프트웨어학부)
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