Demo Data from EDBT 2026 / reviewers in the wild / expert
Kobby Essien
dblp:26/1260
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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 · 70% Wireless networking · 30% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network measurement and analytics
traffic analysis |
0.0 | 1 | 2002 | Analysis of a campus-wide wireless network · MobiCom 2002 |
Network measurement and analytics › workload characterization
usage characterization |
0.0 | 1 | 2002 | Analysis of a campus-wide wireless network · MobiCom 2002 |
Network measurement and analytics
wireless network measurement |
0.0 | 1 | 2002 | Analysis of a campus-wide wireless network · MobiCom 2002 |
Wireless networking
WLAN |
0.0 | 1 | 2002 | Analysis of a campus-wide wireless network · MobiCom 2002 |
Wireless networking
mobility |
0.0 | 1 | 2002 | Analysis of a campus-wide wireless network · MobiCom 2002 |
Methods — techniques the papers use, named apart from their topics
network trace analysis · 0.0measurement study · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Analysis of a Campus-Wide Wireless Network
David Kotz, Kobby Essien |
Wirel. Networks | 2 |
| 2002 | Analysis of a campus-wide wireless networkabstractUnderstanding usage patterns in wireless local-area networks (WLANs) is critical for those who develop, deploy, and manage WLAN technology, as well as those who develop systems and application software for wireless networks. This paper presents results from the largest and most comprehensive trace of network activity in a large, production wireless LAN. For eleven weeks we traced the activity of nearly two thousand users drawn from a general campus population, using a campus-wide network of 476 access points spread over 161 buildings. Our study expands on those done by Tang and Baker, with a significantly larger and broader population.We found that residential traffic dominated all other traffic, particularly in residences populated by newer students; students are increasingly choosing a wireless laptop as their primary computer. Although web protocols were the single largest component of traffic volume, network backup and file sharing contributed an unexpectedly large amount to the traffic. Although there was some roaming within a network session, we were surprised by the number of situations in which cards roamed excessively, unable to settle on one access point. Cross-subnet roams were an especial problem, because they broke IP connections, indicating the need for solutions that avoid or accommodate such roams. David Kotz, Kobby Essien |
MobiCom | 2 |