EDBT 2026 Demo / reviewers in the wild / expert
Byungjin Jun
dblp:158/8006
· DBLP profile ↗
3ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 1 first-author · 1 since 2021
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
3 papers |
Content delivery and video streaming · 32% Network measurement and analytics · 32% Cellular and mobile networks · 16% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 10 heaviest of 12, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network measurement and analytics
internet measurement |
0.5 | 1 | 2021 | Networked systems as witnesses: association between content demand, human mobility and an infection spread · Internet Measurement Conference 2021 |
Network measurement and analytics
traffic analysis |
0.5 | 1 | 2021 | Networked systems as witnesses: association between content demand, human mobility and an infection spread · Internet Measurement Conference 2021 |
Content delivery and video streaming › web performance
page load time |
0.4 | 1 | 2019 | 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 |
0.4 | 1 | 2019 | AMP up your Mobile Web Experience: Characterizing the Impact of Google's Accelerated Mobile Project · MobiCom 2019 |
Content delivery and video streaming
web performance |
0.4 | 1 | 2019 | AMP up your Mobile Web Experience: Characterizing the Impact of Google's Accelerated Mobile Project · MobiCom 2019 |
Medical and health informatics › epidemiology
computational epidemiology |
0.1 | 1 | 2021 | Networked systems as witnesses: association between content demand, human mobility and an infection spread · Internet Measurement Conference 2021 |
Wireless networking
human mobility |
0.1 | 1 | 2021 | Networked systems as witnesses: association between content demand, human mobility and an infection spread · Internet Measurement Conference 2021 |
Cellular and mobile networks
mobility management |
0.1 | 1 | 2021 | Networked systems as witnesses: association between content demand, human mobility and an infection spread · Internet Measurement Conference 2021 |
Network measurement and analytics
traffic characterization |
0.1 | 1 | 2020 | Where Things Roam: Uncovering Cellular IoT/M2M Connectivity · Internet Measurement Conference 2020 |
Edge and fog computing
mobile web |
0.1 | 1 | 2019 | 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
statistical analysis · 1.0large-scale measurement · 0.4measurement study · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Networked systems as witnesses: association between content demand, human mobility and an infection spreadabstractWhile non-pharmaceutical interventions (NPIs) such as stay-at-home, shelter-in-place, and school closures are considered the most effective ways to limit the spread of infectious diseases, their use is generally controversial given the political, ethical, and socioeconomic issues they raise. Part of the challenge is the non-obvious link between the level of compliance with such measures and their effectiveness. Sana Asif, Byungjin Jun, Fabián E. Bustamante, John P. Rula |
Internet Measurement Conference | 2 |
| 2020 | Where Things Roam: Uncovering Cellular IoT/M2M ConnectivityabstractSupport for "things" roaming internationally has become critical for Internet of Things (IoT) verticals, from connected cars to smart meters and wearables, and explains the commercial success of Machine-to-Machine (M2M) platforms. We analyze IoT verticals operating with connectivity via IoT SIMs, and present the first large-scale study of commercially deployed IoT SIMs for energy meters. We also present the first characterization of an operational M2M platform and the first analysis of the rather opaque associated ecosystem. Andra Lutu, Byungjin Jun, Alessandro Finamore, Fabián E. Bustamante, Diego Perino |
Internet Measurement Conference | 2 |
| 2019 | AMP up your Mobile Web Experience: Characterizing the Impact of Google's Accelerated Mobile ProjectabstractThe 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 |
MobiCom | 1 |