Demo Data from EDBT 2026 / reviewers in the wild / expert
C. S. Reece
dblp:97/2591
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling › queueing analysis
queueing models of computer systems |
0.0 | 1 | 1995 | Performance analysis of a digital link with heterogeneous multislot traffic · IEEE Trans. Commun. 1995 |
Network measurement and analytics
workload characterization |
0.0 | 1 | 1995 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Performance analysis of a digital link with heterogeneous multislot trafficabstractPresents 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 |