Demo Data from EDBT 2026 / reviewers in the wild / expert
James Saxon
dblp:293/9013
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 since 2021Security and privacy · 1 · 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
1 paper |
Network measurement and analytics · 77% Network optimization and economics · 23% | |
| Computer graphics and multimedia
1 paper |
Multimedia systems and quality of experience · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network measurement and analytics
application performance measurement |
0.5 | 1 | 2021 | Measuring the performance and network utilization of popular video conferencing applications · Internet Measurement Conference 2021 |
Network optimization and economics › resource allocation › bandwidth allocation
fair bandwidth allocation |
0.1 | 1 | 2021 | Measuring the performance and network utilization of popular video conferencing applications · Internet Measurement Conference 2021 |
Methods — techniques the papers use, named apart from their topics
measurement study · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | GPS-Based Geolocation of Consumer IP Addresses
James Saxon, Nick Feamster |
PAM | 1 |
| 2021 | Measuring the performance and network utilization of popular video conferencing applicationsabstractVideo conferencing applications (VCAs) have become a critical Internet application during the COVID-19 pandemic, as users worldwide now rely on them for work, school, and telehealth. It is thus increasingly important to understand the resource requirements of different VCAs and how they perform under different network conditions, including: how do application-layer performance metrics (e.g., resolution or frames per second) vary under different link capacity; how VCAs perform under temporary reductions in available capacity; how they compete with themselves, with each other, and with other applications; and how usage modality (e.g., gallery vs. speaker mode) affects utilization. We study three modern VCAs: Zoom, Google Meet, and Microsoft Teams. Answers to these questions differ substantially depending on VCA. First, the average utilization on an unconstrained link varies between 0.8 Mbps and 1.9 Mbps. Given temporary reduction of capacity, some VCAs can take as long as 50 seconds to recover to steady state. Differences in proprietary congestion control algorithms also result in unfair bandwidth allocations: in constrained bandwidth settings, one Zoom video conference can consume more than 75% of the available bandwidth when competing with another VCA (e.g., Meet, Teams). For some VCAs, client utilization can decrease as the number of participants increases, due to the reduced video resolution of each participant's video stream given a larger number of participants. Finally, one participant's viewing mode (e.g., pinning a speaker) can affect the upstream utilization of other participants. Kyle MacMillan, Tarun Mangla, James Saxon, Nick Feamster |
Internet Measurement Conference | 3 |