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Web Experience in Mobile Networks: Lessons from Two Million Page Visits
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0003-2765-7873
Telefonica Research, Spain.
Dalhousie University, Canada.
Simula Metropolitan, Norway.
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2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Measuring and characterizing web page performance is a challeng- ing task. When it comes to the mobile world, the highly varying technology characteristics coupled with the opaque network con- figuration make it even more difficult. Aiming at reproducibility, we present a large scale empirical study of web page performance collected in eleven commercial mobile networks spanning four countries. By digging into measurement from nearly two million web browsing sessions, we shed light on the impact of different web protocols, browsers, and mobile technologies on the web per- formance. We found that the impact of mobile broadband access is sizeable. For example, the median page load time using mobile broadband increases by a third compared to wired access. Mobility clearly stresses the system, with handover causing the most evi- dent performance penalties. Contrariwise, our measurements show that the adoption of HTTP/2 and QUIC has practically negligible impact. To understand the intertwining of all parameters, we adopt state-of-the-art statistical methods to identify the significance of different factors on the web performance. Our analysis confirms the importance of access technology and mobility context as well as webpage composition and browser. Our work highlights the importance of large-scale measurements. Even with our controlled setup, the complexity of the mobile web ecosystem is challenging to untangle. For this, we are releasing the dataset as open data for validation and further research.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2019. p. 1532-1543
Keywords [en]
Monroe; HTTP2, Quic, TCP, Mobile Broadband
National Category
Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-71117DOI: 10.1145/3308558.3313606ISI: 000483508401054Scopus ID: 2-s2.0-85066916953ISBN: 9781450366748 (print)OAI: oai:DiVA.org:kau-71117DiVA, id: diva2:1289383
Conference
2019 World Wide Web Conference (WWW ’19) 13-17 May San Francisco
Available from: 2019-02-18 Created: 2019-02-18 Last updated: 2019-10-07Bibliographically approved

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Rajiullah, MohammadBrunström, AnnaAlfredsson, Stefan

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CiteExportLink to record
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Citation style
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Output format
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