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Poster: Rapid Web-Page Loading with Preload Scanner

Authors
Ahn, JeminWon, JiwoongKang, Kyungtae
Issue Date
Nov-2021
Publisher
Association for Computing Machinery
Citation
IMC ’21: The 2021 Internet Measurement Conference, pp 1 - 2
Pages
2
Indexed
FOREIGN
Journal Title
IMC ’21: The 2021 Internet Measurement Conference
Start Page
1
End Page
2
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114953
DOI
10.1145/1122445.1122456
Abstract
Despite 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.
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COLLEGE OF COMPUTING (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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