Demo Data from EDBT 2026 / reviewers in the wild / expert
Stephanie A. Mitchell
dblp:271/5713
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1981
—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 management and operations · 77% Network performance modeling · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network management and operations
availability analysis |
0.0 | 1 | 1981 | Communication Network Availability Predictions Based on Measurement Data · IEEE Trans. Commun. 1981 |
Network performance modeling › simulation modeling
simulation validation |
0.0 | 1 | 1981 | Communication Network Availability Predictions Based on Measurement Data · IEEE Trans. Commun. 1981 |
Methods — techniques the papers use, named apart from their topics
heuristic modeling · 0.0computer simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1981 | Communication Network Availability Predictions Based on Measurement DataabstractPublished data describing the probability distributions of data communication system reliability parameters such as availability are very sparse. This paper describes a set of data collected in order to model communication line availability by monitoring operational communication systems. Probability distribution functions for single line availabilities and for the durations of failures are given. A heuristic model for estimating availabilities for more complex systems is presented along with computer simulation data validating the accuracy of the model. The results presented make possible more realistic availability predictions for common types of networks than have previously been computable. John D. Spragins, James D. Markov, M. W. Doss, Stephanie A. Mitchell, David C. Squire |
IEEE Trans. Commun. | 4 |