Demo Data from EDBT 2026 / reviewers in the wild / expert
Offer Fabian
dblp:87/4559
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1993
—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 performance modeling · 70% Wireless networking · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling › queueing analysis
polling |
0.0 | 1 | 1993 | Polling System Optimization through Dynamic Routing Policies · INFOCOM 1993 |
Network performance modeling
queueing analysis |
0.0 | 1 | 1993 | Polling System Optimization through Dynamic Routing Policies · INFOCOM 1993 |
Wireless networking
scheduling |
0.0 | 1 | 1993 | Polling System Optimization through Dynamic Routing Policies · INFOCOM 1993 |
Network performance modeling › delay analysis
queueing delay analysis |
0.0 | 1 | 1993 | Polling System Optimization through Dynamic Routing Policies · INFOCOM 1993 |
Methods — techniques the papers use, named apart from their topics
stochastic dominance · 0.0fluid approximation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1993 | Polling System Optimization through Dynamic Routing PoliciesabstractPseudocyclic algorithms that can prioritize the various stations by dynamically changing their service order but maintain fairness by visiting each station exactly once in a cycle re considered. The waiting time performance of systems operated under cycle-time guided algorithms in semi-dynamic polling models is studied. In fully symmetric systems the waiting times of all pseudocyclic policies are bounded by stochastic dominance. This dominance is quantified by the analysis of a fluid approximation model and simulations of the general polling model.> Offer Fabian, Hanoch Levy |
INFOCOM | 1 |