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Breakpoint-based lightweight prefetching to improve application response

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dc.contributor.authorJeong, Haegeon-
dc.contributor.authorWon, Jiwoong-
dc.contributor.authorLee, Jaemyoun-
dc.contributor.authorKang, Kyungtae-
dc.contributor.authorRyu, Junhee-
dc.date.accessioned2021-06-22T21:25:07Z-
dc.date.available2021-06-22T21:25:07Z-
dc.date.issued2015-07-
dc.identifier.issn0730-3157-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/20240-
dc.description.abstractPrefetching disk blocks reduces subsequent disk access times, allowing applications to load and run more quickly. Successful prefetching depends on the accuracy with which upcoming disk I/O can be predicted, and many techniques are not particularly accurate, while incurring significant memory and CPU overheads. A new lightweight prefetching technique for general applications performs off-line analysis of application source code, to identify disk access patterns, and then inserts breakpoints. At run time, these breakpoints trigger prefetching based on a log of disk accesses. Average reductions of 30% in launch times and 15% in loading times were observed in experiments. © 2015 IEEE.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE Computer Society-
dc.titleBreakpoint-based lightweight prefetching to improve application response-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/COMPSAC.2015.75-
dc.identifier.scopusid2-s2.0-84962074600-
dc.identifier.wosid000381598900123-
dc.identifier.bibliographicCitationProceedings - International Computer Software and Applications Conference, pp 666 - 667-
dc.citation.titleProceedings - International Computer Software and Applications Conference-
dc.citation.startPage666-
dc.citation.endPage667-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusComputer software-
dc.subject.keywordPlusAccess patterns-
dc.subject.keywordPlusBreakpoint-
dc.subject.keywordPlusDisk I/O-
dc.subject.keywordPlusGeneral applications-
dc.subject.keywordPlusOff-line analysis-
dc.subject.keywordPlusPrefetching-
dc.subject.keywordPlusPrefetching techniques-
dc.subject.keywordPlusSource codes-
dc.subject.keywordPlusApplication programs-
dc.subject.keywordAuthorBreakpoint-
dc.subject.keywordAuthorDisk I/O-
dc.subject.keywordAuthorLaunching/loading time-
dc.subject.keywordAuthorPrefetching-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7273455/-
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ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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