Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

George Kimura

dblp:167/6617 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation › asymptotic analysis
diffusion approximation
0.011986
Diffusion Approximation for a Token Ring System with Nonexhausive Service · IEEE J. Sel. Areas Commun. 1986
Performance modeling and evaluation
queueing models
0.011986
Diffusion Approximation for a Token Ring System with Nonexhausive Service · IEEE J. Sel. Areas Commun. 1986
Performance modeling and evaluation › queueing models
token ring
0.011986
Diffusion Approximation for a Token Ring System with Nonexhausive Service · IEEE J. Sel. Areas Commun. 1986
Internet architecture and protocols
local area network
0.011986
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
YearPublicationVenuePosition
1986 Diffusion Approximation for a Token Ring System with Nonexhausive Service
abstract
This 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