Demo Data from EDBT 2026 / reviewers in the wild / expert
Leo C. Liang
dblp:272/7980
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1972
—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 architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% | |
| Computer networks
1 paper |
Network performance modeling · 50% Internet architecture and protocols · 50% |
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 |
0.0 | 1 | 1972 | Buffer Behavior for Mixed Input Traffic and Single Constant Output Rate · IEEE Trans. Commun. 1972 |
Internet architecture and protocols › buffer management
buffer design |
0.0 | 1 | 1972 | Buffer Behavior for Mixed Input Traffic and Single Constant Output Rate · IEEE Trans. Commun. 1972 |
Network performance modeling
statistical multiplexing |
0.0 | 1 | 1972 | Buffer Behavior for Mixed Input Traffic and Single Constant Output Rate · IEEE Trans. Commun. 1972 |
Methods — techniques the papers use, named apart from their topics
queueing analysis · 0.0poisson arrival modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1972 | Buffer Behavior for Mixed Input Traffic and Single Constant Output RateabstractA queueing model with limited waiting room (buffer), mixed input traffic (Poisson and compound Poisson arrivals), and constant service rate is studied. Using average burst length, traffic intensity, and input-traffic mixture rate as parameters, we obtain relationships among buffer size, overflow probabilities, and expected message-queueing delay due to buffering. These relationships are portrayed on graphs that can be used as a guide in buffer design. Although this study arose in the design of statistical multiplexors, the queueing model developed is quite general and may be useful for other industrial applications. Wesley W. Chu, Leo C. Liang |
IEEE Trans. Commun. | 2 |