Poster: Rapid Web-Page Loading with Preload Scanner
- Authors
- Ahn, Jemin; Won, Jiwoong; Kang, 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.
- Files in This Item
-
Go to Link
- Appears in
Collections - COLLEGE OF COMPUTING > DEPARTMENT OF ARTIFICIAL INTELLIGENCE > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.