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A user-level file system for fast storage devices

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dc.contributor.authorSon, Y.-
dc.contributor.authorSong, N.Y.-
dc.contributor.authorHan, H.-
dc.contributor.authorEom, H.-
dc.contributor.authorYeom, H.Y.-
dc.date.accessioned2023-02-21T01:40:23Z-
dc.date.available2023-02-21T01:40:23Z-
dc.date.issued2015-09-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60816-
dc.description.abstractLately, fast storage devices are rapidly increasing in social network services, cloud platforms, etc. Unfortunately, the traditional Linux I/O stack is designed to maximize performance on disk-based storage. Emerging byte-addressable and low-latency non-volatile memory (NVM) technologies (e.g., Phase-change memories, spin-transfer torque MRAMs, and the memristor) provides very different characteristics, so the disk-based I/O stack cannot lead to high performance. This paper presents a high performance I/O stack for the fast storage devices. Our scheme is to remove the concept of block and to simplify the whole I/O path and software stack, which results in only two layers that are composed of the byte-capable interface and the byte-aware file system called BAFS. We aim to minimize I/O latency and maximize bandwidth by eliminating the unnecessary layers and supporting byte-addressable I/O without requiring changes to applications. We have implemented a prototype and evaluated its performance with multiple benchmarks. The experimental results show that our I/O stack achieves 6.2 times on average and up to 17.5 times performance gains compared to existing Linux I/O stack. © 2014 IEEE.-
dc.format.extent7-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleA user-level file system for fast storage devices-
dc.typeArticle-
dc.identifier.doi10.1109/ICCAC.2014.14-
dc.identifier.bibliographicCitationProceedings - 2014 International Conference on Cloud and Autonomic Computing, ICCAC 2014, pp 258 - 264-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-84923975560-
dc.citation.endPage264-
dc.citation.startPage258-
dc.citation.titleProceedings - 2014 International Conference on Cloud and Autonomic Computing, ICCAC 2014-
dc.type.docTypeConference Paper-
dc.subject.keywordAuthorfast storage device-
dc.subject.keywordAuthorfile system-
dc.subject.keywordAuthorI/O stack-
dc.subject.keywordAuthorLow latency I/O-
dc.description.journalRegisteredClassscopus-
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