EDBT 2026 Demo / reviewers in the wild / expert
George Kimura
dblp:167/6617
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1986
—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 architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% | |
| Computer networks
1 paper |
Internet architecture and protocols · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation › asymptotic analysis
diffusion approximation |
0.0 | 1 | 1986 | Diffusion Approximation for a Token Ring System with Nonexhausive Service · IEEE J. Sel. Areas Commun. 1986 |
Performance modeling and evaluation
queueing models |
0.0 | 1 | 1986 | Diffusion Approximation for a Token Ring System with Nonexhausive Service · IEEE J. Sel. Areas Commun. 1986 |
Performance modeling and evaluation › queueing models
token ring |
0.0 | 1 | 1986 | Diffusion Approximation for a Token Ring System with Nonexhausive Service · IEEE J. Sel. Areas Commun. 1986 |
Internet architecture and protocols
local area network |
0.0 | 1 | 1986 | Diffusion Approximation for a Token Ring System with Nonexhausive Service · IEEE J. Sel. Areas Commun. 1986 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0diffusion approximation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | Diffusion Approximation for a Token Ring System with Nonexhausive ServiceabstractThis paper derives approximate formulas for a token ring system with nonexhaustive service, which is commonly used in local area networks. In order to obtain performance measures, the token ring system is regarded as a multiqueue model with cyclic service. The model under consideration is a generalization of the ones treated in the literature. The virtual load probability density function is derived via a diffusion approximation technique. The relation between the virtual load and the actual waiting time is presented. The approximate formula obtained here is evaluated by comparing it to simulation results as well as to other results presented in the literature. George Kimura |
IEEE J. Sel. Areas Commun. | 1 |