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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 888 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 880 | - |
dc.citation.title | JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE | - |
dc.citation.volume | 16 | - |
dc.contributor.author | Park, Jung Kyu | - |
dc.contributor.author | Kim, Jaeho | - |
dc.contributor.author | Koo, Sung Min | - |
dc.contributor.author | Baek, Seungjae | - |
dc.date.accessioned | 2023-12-21T22:48:58Z | - |
dc.date.available | 2023-12-21T22:48:58Z | - |
dc.date.created | 2017-01-26 | - |
dc.date.issued | 2016-12 | - |
dc.description.abstract | In this paper, we propose a new HDFS-AIO framework to enhance HDFS with Adaptive I/O System (ADIOS), which supports many different I/O methods and enables applications to select optimal I/O routines for a particular platform without source-code modification and re-compilation. First, we customize ADIOS into a chunk-based storage system so its API semantics can fit the requirement of HDFS easily; then, we utilize Java Native Interface (JNI) to bridge HDFS and the tailored ADIOS. We use different I/O patterns to compare HDFS-AIO and the original HDFS, and the experimental results show the design feasibility and benefits. We also examine the performance of HDFS-AIO using various I/O techniques. There have been many studies that use ADIOS, however our research is expected to help in expanding the function of HDFS. | - |
dc.identifier.bibliographicCitation | JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, v.16, no.6, pp.880 - 888 | - |
dc.identifier.doi | 10.5573/JSTS.2016.16.6.880 | - |
dc.identifier.issn | 1598-1657 | - |
dc.identifier.scopusid | 2-s2.0-85008399998 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/21214 | - |
dc.identifier.url | http://www.dbpia.co.kr/Journal/ArticleDetail/NODE07086541 | - |
dc.identifier.wosid | 000393191400021 | - |
dc.language | 영어 | - |
dc.publisher | IEEK PUBLICATION CENTER | - |
dc.title | Adaptable I/O system based I/O reduction for improving the performance of HDFS | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic; Physics, Applied | - |
dc.identifier.kciid | ART002175598 | - |
dc.relation.journalResearchArea | Engineering; Physics | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | HDFS | - |
dc.subject.keywordAuthor | ADIOS | - |
dc.subject.keywordAuthor | JNI | - |
dc.subject.keywordAuthor | HADOOP | - |
dc.subject.keywordAuthor | GFS | - |
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