Demo Data from EDBT 2026 / reviewers in the wild / expert
Michiel Harpert van Hoorn
dblp:79/11420
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 1986
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-authorComputer 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% Routing and switching · 23% | |
| 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 |
|---|---|---|---|---|
Network management and operations › network control
overload control |
0.0 | 1 | 1986 | Dependency of Service Time on Waiting Time in Switchng Systems-A Queueing Analysis with Aspects of Overload Control · IEEE Trans. Commun. 1986 |
Performance modeling and evaluation
queueing models |
0.0 | 1 | 1986 | Dependency of Service Time on Waiting Time in Switchng Systems-A Queueing Analysis with Aspects of Overload Control · IEEE Trans. Commun. 1986 |
Routing and switching
switching systems |
0.0 | 1 | 1986 | Dependency of Service Time on Waiting Time in Switchng Systems-A Queueing Analysis with Aspects of Overload Control · IEEE Trans. Commun. 1986 |
Methods — techniques the papers use, named apart from their topics
regenerative method · 0.0markov chain analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | Dependency of Service Time on Waiting Time in Switchng Systems-A Queueing Analysis with Aspects of Overload ControlabstractPerformance degradation of switching systems when the load increases above the engineered load can be caused by systemdependent and customer-dependent factors. In this paper the dependency of the service time and the call completion rate on the waiting time of a customer is investigated. The problem is modeled by means of a queueing system of typeM^{[x]}/G/1, where state-dependent batch size distributions are considered. Two analysis methods, the continuous Markov chain approach and the regenerative method, are used for Markovian and generally distributed service phases, respectively. Numerical results are given for system characteristics, in particular the call completion rate of the system. Finally, a basic overload control scheme is investigated which increases the throughput of completed calls at higher traffic levels. Phuoc Tran-Gia, Michiel Harpert van Hoorn |
IEEE Trans. Commun. | 2 |
| 1982 | Approximations for the waiting time distribution of the M/G/c queue
Michiel Harpert van Hoorn, Henk C. Tijms |
Perform. Evaluation | 1 |