Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26051

Title: Web Performance Automation for The People
Authors: Marx, Robin
Issue Date: 2018
Publisher: ACM
Citation: WWW '18 Companion Proceedings of the The Web Conference 2018, ACM,p. 825-829
Abstract: Web performance is important for the user experience and can heavily influence web page revenues. While there are many established Web Performance Optimization (WPO) methods, our work so far has clearly shown that new network protocols, optimized browsers and cutting-edge web standards can have a significant impact on known best practices. Additionally, there is still low-hanging fruit to be exploited, in the form of personalizing performance based on user context (i.e., current device, network, browser) and user preferences (e.g., text reading vs multimedia experience). In our PhD project, we strive to integrate this user-specific metadata into dynamic configurations for both existing and new automated WPO techniques. An intermediate server can (pre)generate optimized versions of a web page, which are then selected based on user context and preferences. Additional metadata is also passed along to the browser, enabling improvements on that side, and used to steer new network protocols to speed up the incremental delivery of page resources. We use the Speeder platform to perform and evaluate full-factorial objective measurements and use subjective user studies across a range of groups to assess the applicability of our methods to end users. Our aim is to provide insights in how WPO can be tweaked for specific users, in the hopes of leading to new web standards that enable this behavior.
URI: http://hdl.handle.net/1942/26051
DOI: 10.1145/3184558.3186570
ISBN: 9781450356404
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
Proof of peer review231.85 kBAdobe PDF
Published version1.24 MBAdobe PDF
Peer-reviewed author version1.55 MBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.