Sung Yoon Whang

dblp:246/2296 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Content delivery and video streaming · 91% Edge and fog computing · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Content delivery and video streaming › web performance
page load time
0.412019
AMP up your Mobile Web Experience: Characterizing the Impact of Google's Accelerated Mobile Project · MobiCom 2019
Content delivery and video streaming
quality of experience
0.412019
AMP up your Mobile Web Experience: Characterizing the Impact of Google's Accelerated Mobile Project · MobiCom 2019
Content delivery and video streaming
web performance
0.412019
AMP up your Mobile Web Experience: Characterizing the Impact of Google's Accelerated Mobile Project · MobiCom 2019
Edge and fog computing
mobile web
0.112019
AMP up your Mobile Web Experience: Characterizing the Impact of Google's Accelerated Mobile Project · MobiCom 2019

Methods — techniques the papers use, named apart from their topics

measurement study · 0.4
YearPublicationVenuePosition
2019 AMP up your Mobile Web Experience: Characterizing the Impact of Google's Accelerated Mobile Project
abstract
The rapid growth in the number of mobile devices, subscriptions and their associated traffic, has served as motivation for several projects focused on improving mobile users' quality of experience (QoE). Few have been as contentious as the Google-initiated Accelerated Mobile Project (AMP), both praised for its seemingly instant mobile web experience and criticized based on concerns about the enforcement of its formats. This paper presents the first characterization of AMP's impact on users' QoE. We do this using a corpus of over 2,100 AMP webpages, and their corresponding non-AMP counterparts, based on trendy-keyword-based searches. We characterized AMP's impact looking at common web QoE metrics, including Page Load Time, Time to First Byte and SpeedIndex (SI). Our results show that AMP significantly improves SI, yielding on average a 60% lower SI than non-AMP pages without accounting for prefetching. Prefetching of AMP pages pushes this advantage even further, with prefetched pages loading over 2,000ms faster than non-prefetched AMP pages. This clear boost may come, however, at a non-negligible cost for users with limited data plans as it incurs an average of over 1.4~MB of additional data downloaded, unbeknownst to users.
Byungjin Jun, Fabián E. Bustamante, Sung Yoon Whang, Zachary S. Bischof
MobiCom3