Demo Data from VLDB 2026 / reviewers in the wild / expert
Michael Shalmon
dblp:21/4864
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1987
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 networks
1 paper |
Network performance modeling · 50% Routing and switching · 50% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling
delay analysis |
0.0 | 1 | 1987 | Exact Delay Analysis of Packet-Switching Concentrating Networks · IEEE Trans. Commun. 1987 |
Routing and switching › packet switching
packet-switched networks |
0.0 | 1 | 1987 | Exact Delay Analysis of Packet-Switching Concentrating Networks · IEEE Trans. Commun. 1987 |
Routing and switching › service disciplines
priority discipline |
0.0 | 1 | 1987 | Exact Delay Analysis of Packet-Switching Concentrating Networks · IEEE Trans. Commun. 1987 |
Network performance modeling
queueing analysis |
0.0 | 1 | 1987 | Exact Delay Analysis of Packet-Switching Concentrating Networks · IEEE Trans. Commun. 1987 |
Methods — techniques the papers use, named apart from their topics
moment generating function · 0.0batch poisson traffic · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1987 | Exact Delay Analysis of Packet-Switching Concentrating NetworksabstractWe present an exact delay analysis for a packet-switching concentrating system consisting of an arbitrary number of active stations connected in tandem by unidirectional, asynchronous transmission lines, all with identical transmission rate. Packetized messages from exogenous sources enter the system at every station, are handled from station to station in a store-and-forward fashion, and exit at the downstream end; there are no intermediate departures. The service discipline at each station is either FCFS, fixed priority, or alternating priority, the transmission of a packet is not interrupted while in progress. We assume that the packets have identical length (in bits), that the sources are independent and that each source generates batch Poisson traffic. The FCFS case was solved by Kaplan [7] and Shalmon and Kaplan [19]. Here we analyze the priority disciplines. For the packets and messages from each source, we obtain the steady-state moment generating functions for their end-to-end waiting times. We offer simple formulas for the corresponding mean waiting times, and show that the Poisson approximation for departures is unreliable. The analysis for all three disciplines generalizes to the case where the line capacities are nonincreasing in the direction of the flow, and for the priority disciplines, it further generalizes to a concentrating tree network, and to an arrival process somewhat more general than batch Poisson. Michael Shalmon |
IEEE Trans. Commun. | 1 |