Demo Data from EDBT 2026 / reviewers in the wild / expert
O. Fischer
dblp:65/1186
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1989
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 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 | 1989 | Feedback Queues with Preemption-Distance Priorities · SIGMETRICS 1989 |
Performance modeling and evaluation › queueing models
priority queueing |
0.0 | 1 | 1989 | Feedback Queues with Preemption-Distance Priorities · SIGMETRICS 1989 |
Performance modeling and evaluation
queueing models |
0.0 | 1 | 1989 | Feedback Queues with Preemption-Distance Priorities · SIGMETRICS 1989 |
Methods — techniques the papers use, named apart from their topics
method of moments · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | Feedback Queues with Preemption-Distance PrioritiesabstractThe method of moments is used to derive exact analytical solutions for an open priority queueing system with preemption-distance priorities and feedback. Customers enter from outside in a Poisson stream. They can feed back for several times, changing priorities and service demands in an arbitrary manner. During feedback they can fork and branch according to user-defined probabilities. The service demands of the different classes are pairwise independent and can be arbitrarily distributed. A customer who has been interrupted resumes his service from the point where he was interrupted (preemptive resume). A system of linear equations is to be solved to obtain the mean sojourn times of each customer class in the system. Martin Paterok, O. Fischer |
SIGMETRICS | 2 |