Demo Data from VLDB 2026 / reviewers in the wild / expert
Jan Prüss
dblp:76/9502
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer 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 |
Internet architecture and protocols · 38% Physical-layer communications · 38% Network performance modeling · 23% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet architecture and protocols
ISDN |
0.0 | 1 | 1991 | Integration of wide-band service in time division multiplex systems · IEEE Trans. Commun. 1991 |
Physical-layer communications › multiplexing
time-division multiplexing |
0.0 | 1 | 1991 | Integration of wide-band service in time division multiplex systems · IEEE Trans. Commun. 1991 |
Network performance modeling › queueing network model
parallel queues |
0.0 | 1 | 1991 | Integration of wide-band service in time division multiplex systems · IEEE Trans. Commun. 1991 |
Network performance modeling
queueing analysis |
0.0 | 1 | 1991 | Integration of wide-band service in time division multiplex systems · IEEE Trans. Commun. 1991 |
Methods — techniques the papers use, named apart from their topics
numerical solution · 0.0balance equations · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | Integration of wide-band service in time division multiplex systemsabstractThe authors present a TDM (time division multiplexing) channel access concept based on narrowband and wideband traffic requests which are queued in separated parallel queues. The system may be regarded as a part of a wideband integrated services digital network (ISDN). The channel access strategy follows the premise of allocating that type of customer first into service which fits best (fills out best) the nonoccupied channels. A Poisson arrival process and exponentially distributed service times for both are assumed for both traffic types, but they may have different bit rate requirements. The model involves four characteristic random variables; its joint probability is obtained by means of balance equations. Since it is difficult to determine the solution analytically, the authors develop the transition rate matrix and suggest a procedure for the numerical solution of the balance equations. Several numerical results are presented and discussed.> Reinhard Schlott, Jan Prüss, Gerd Mrozynski |
IEEE Trans. Commun. | 2 |