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C. S. Reece

dblp:97/2591 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

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 · 50% Network measurement and analytics · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network performance modeling › queueing analysis
queueing models of computer systems
0.011995
Performance analysis of a digital link with heterogeneous multislot traffic · IEEE Trans. Commun. 1995
Network measurement and analytics
workload characterization
0.011995
Performance analysis of a digital link with heterogeneous multislot traffic · IEEE Trans. Commun. 1995

Methods — techniques the papers use, named apart from their topics

matrix-exponential distribution · 0.0matrix algebraic techniques · 0.0acceptance functions · 0.0
YearPublicationVenuePosition
1995 Performance analysis of a digital link with heterogeneous multislot traffic
abstract
Presents a unified model to compute various performance measures when Poissonian and non-Poissonian (renewal) multi-slot traffic streams are offered to a digital link in a (double) loss system. the authors represent the non-Poissonian arrival process by a matrix-exponential distribution, requiring only that the inter-arrival distribution has a rational Laplace transform. Several distributions are considered as the non-Poissonian traffic. The resulting model uses matrix algebraic techniques only, thus not requiring any complex and/or tedious transform techniques. The authors also incorporate various control policies in their modeling framework using acceptance functions. Through computational studies, they conclude that the second and the third moments of the non-Poissonian traffic have significant impact on various performance measures.>
Deep Medhi, Appie van de Liefvoort, C. S. Reece
IEEE Trans. Commun.3