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Design and evaluation of 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.accessioned2023-02-21T02:41:58Z-
dc.date.available2023-02-21T02:41:58Z-
dc.date.issued2015-09-
dc.identifier.issn1386-7857-
dc.identifier.issn1573-7543-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60837-
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 technologies (e.g., phase-change memories, MRAMs, and the memristor) provide 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 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 the existing Linux I/O stack.-
dc.format.extent12-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer New York LLC-
dc.titleDesign and evaluation of a user-level file system for fast storage devices-
dc.typeArticle-
dc.identifier.doi10.1007/s10586-015-0465-5-
dc.identifier.bibliographicCitationCluster Computing, v.18, no.3, pp 1075 - 1086-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-84942551006-
dc.citation.endPage1086-
dc.citation.number3-
dc.citation.startPage1075-
dc.citation.titleCluster Computing-
dc.citation.volume18-
dc.type.docTypeArticle-
dc.publisher.location미국-
dc.subject.keywordAuthorFast storage device-
dc.subject.keywordAuthorFile system-
dc.subject.keywordAuthorI/O stack-
dc.subject.keywordAuthorLow latency I/O-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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