Demo Data from EDBT 2026 / reviewers in the wild / expert
Shawn A. Routhier
dblp:167/6541
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1986
—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 |
Network measurement and analytics · 46% Network performance modeling · 46% Internet architecture and protocols · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling › traffic modeling
packet train model |
0.0 | 1 | 1986 | Packet Trains-Measurements and a New Model for Computer Network Traffic · IEEE J. Sel. Areas Commun. 1986 |
Network measurement and analytics
traffic characterization |
0.0 | 1 | 1986 | Packet Trains-Measurements and a New Model for Computer Network Traffic · IEEE J. Sel. Areas Commun. 1986 |
Network measurement and analytics
traffic measurement |
0.0 | 1 | 1986 | Packet Trains-Measurements and a New Model for Computer Network Traffic · IEEE J. Sel. Areas Commun. 1986 |
Network performance modeling
traffic modeling |
0.0 | 1 | 1986 | Packet Trains-Measurements and a New Model for Computer Network Traffic · IEEE J. Sel. Areas Commun. 1986 |
Internet architecture and protocols
local area network |
0.0 | 1 | 1986 | Packet Trains-Measurements and a New Model for Computer Network Traffic · IEEE J. Sel. Areas Commun. 1986 |
Methods — techniques the papers use, named apart from their topics
statistical analysis · 0.0arrival process modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | Packet Trains-Measurements and a New Model for Computer Network TrafficabstractTraffic measurements on a ring local area computer network at the Massachusetts Institute of Technology are presented. The analysis of the arrival pattern shows that the arrival processes are neither Poisson nor compound Poisson. An alternative model called "packet train" is proposed. In the train model, the traffic on the network consists of a number of packet streams between various pairs of nodes on the network. Each node-pair stream (or node-pair process, as we call them) consists of a number of trains. Each train consists of a number of packets (or cars) going in either direction (from node A to B or from node B to A). The intercar gap is large (compared to packet transmission time) and random. The intertrain time is even larger. The Poisson and the compound Poisson arrivals are shown to be special cases of the train arrival model. Another important observation is that the packet arrivals exhibit a "source locality." If a packet is seen on the network going from A to B, the probability of the next packet going from A to B or from B to A is very high. Implications of the train arrivals and of source locality on the design of bridges, gateways, and reservation protocols are discussed. A numbet of open problems requiring development of analysis techniques for systems with train arrival processes are also described. Raj Jain, Shawn A. Routhier |
IEEE J. Sel. Areas Commun. | 2 |