Demo Data from EDBT 2026 / reviewers in the wild / expert
Kenneth Lloyd Rider
dblp:27/4284
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1976
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 · 67% Electronic design automation · 33% |
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 › single server queue
m/m/1 queue |
0.0 | 1 | 1976 | A Simple Approximation to the Average Queue Size in the Time-Dependent M/M/1 Queue · J. ACM 1976 |
Performance modeling and evaluation
queueing models |
0.0 | 1 | 1976 | A Simple Approximation to the Average Queue Size in the Time-Dependent M/M/1 Queue · J. ACM 1976 |
Electronic design automation › circuit simulation
transient analysis |
0.0 | 1 | 1976 | A Simple Approximation to the Average Queue Size in the Time-Dependent M/M/1 Queue · J. ACM 1976 |
Methods — techniques the papers use, named apart from their topics
approximation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1976 | A Simple Approximation to the Average Queue Size in the Time-Dependent M/M/1 QueueabstractThe time-dependent equations for the M/M/1 queue can be reduced to a single equation for the expected queue size, but the equation is dependent on P 0 ( t ), the probability of no jobs in the system. An exact equation for the behavior of P 0 ( t ) under special conditions is derived and an approximation relating P 0 ( t ) to Q ( t ), the expected queue size at time t , is derived for the case when the change in queue size is slow compared to the service rate. It is found that the approximation affords a significant improvement over the use of a steady state approximation to the time-dependent queue and is simpler to use than the exact equations. Kenneth Lloyd Rider |
J. ACM | 1 |