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Poster: Rapid Web-Page Loading with Preload Scanner

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dc.contributor.authorAhn, Jemin-
dc.contributor.authorWon, Jiwoong-
dc.contributor.authorKang, Kyungtae-
dc.date.accessioned2023-09-04T05:43:59Z-
dc.date.available2023-09-04T05:43:59Z-
dc.date.issued2021-11-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114953-
dc.description.abstractDespite being continuously advanced, conventional web page loading processes remain inefficient and prevent network devices from fully utilizing their computing capabilities. This study investigates the primary source of this inefficiency, known as script blocking, which occurs owing to browser pipelining. An advanced web page loading process is then proposed, in which the Preload Scanner in Chromium is modified such that it can identify correlations between web objects and prerequests associated with them. Experimental testing with example websites demonstrates an improvement in overall web page load times.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherAssociation for Computing Machinery-
dc.titlePoster: Rapid Web-Page Loading with Preload Scanner-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1145/1122445.1122456-
dc.identifier.bibliographicCitationIMC ’21: The 2021 Internet Measurement Conference, pp 1 - 2-
dc.citation.titleIMC ’21: The 2021 Internet Measurement Conference-
dc.citation.startPage1-
dc.citation.endPage2-
dc.type.docTypeProceeding-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassforeign-
dc.identifier.urlhttps://conferences.sigcomm.org/imc/2021/pdf/rapid.pdf-
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Kang, Kyung tae
ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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