Demo Data from EDBT 2026 / reviewers in the wild / expert
Art Mena
dblp:96/6545
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author
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 · 61% Cellular and mobile networks · 30% Content delivery and video streaming · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network measurement and analytics › traffic characterization › flow characterization
flow identification |
0.0 | 1 | 2000 | An Empirical Study of Internet Audio Traffic · INFOCOM 2000 |
Cellular and mobile networks
multimedia traffic |
0.0 | 1 | 2000 | An Empirical Study of Internet Audio Traffic · INFOCOM 2000 |
Network measurement and analytics
traffic characterization |
0.0 | 1 | 2000 | An Empirical Study of Internet Audio Traffic · INFOCOM 2000 |
Methods — techniques the papers use, named apart from their topics
traffic trace analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | An Empirical Study of Internet Audio TrafficabstractThe delivery of multimedia content is a facet of Internet traffic that is rapidly growing in importance. The new generation of World Wide Web sites rely heavily on extensive multimedia content such as graphics, sound, music and video to attract and retain visitors. While there have been extensive studies on the growth and effects of hyper text transfer protocol (HTTP) traffic used on the Web, little or no work has been performed in analyzing streaming multimedia traffic. We present the results of a brief study to examine the traffic emanating from a popular Internet audio service using the RealAudio program. We found protocol distributions that show a bias towards non-TCP friendly protocols. In addition, we observed consistencies in audio traffic packet sizes and data rate patterns may be useful as a tool for identifying audio data flows. Our results show that audio flows exhibit significant consistency in data rates and are considerably more persistent than HTTP connections. Art Mena, John S. Heidemann |
INFOCOM | 1 |