Demo Data from EDBT 2026 / reviewers in the wild / expert
Gerald W. Adkins
dblp:16/1158 · also Gerald Wayne Adkins
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1988
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 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 architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation › queueing models › queueing discipline
feedback queues |
0.0 | 1 | 1981 | Measurement Bias in Feedback Queues · J. ACM 1981 |
Performance modeling and evaluation
queueing models |
0.0 | 1 | 1981 | Measurement Bias in Feedback Queues · J. ACM 1981 |
Performance modeling and evaluation
workload characterization |
0.0 | 1 | 1981 | Measurement Bias in Feedback Queues · J. ACM 1981 |
Methods — techniques the papers use, named apart from their topics
queueing theory · 0.0poisson arrival modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | A microcomputer oriented computer literacy courseabstractThe development of a computer literacy course at the University of Georgia is described. Demographic information regarding students taking the class is provided. The course consists of two main parts: Alice L. Clarke, Gerald W. Adkins |
SIGCSE | 2 |
| 1981 | Measurement Bias in Feedback QueuesabstractA classical method of measunng the number of lobs m a trine-shared computer system ,s to collect statistics at the epochs of quantum completions.A computer system utilizing round-robin quantum allocations ~s modeled as a feedback queue with Poisson amvals and exponential service times, and the bias in the stausuc taken at the quantum compleuons is quant,fied.The difference botween this statistic and the true Ume-average system size is given for such a system including quanta and overhead. Richard M. Feldman, Gerald W. Adkins, Guy L. Curry, Udo W. Pooch |
J. ACM | 2 |