Demo Data from VLDB 2026 / reviewers in the wild / expert
Wendy C. L. Chiew
dblp:69/2140
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1993
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation › queueing models
finite buffer queue |
0.0 | 1 | 1991 | Analysis of Token Ring Networks with Both Finite and Infinite Buffer Capacity Stations · INFOCOM 1991 |
Performance modeling and evaluation
queueing models |
0.0 | 1 | 1991 | Analysis of Token Ring Networks with Both Finite and Infinite Buffer Capacity Stations · INFOCOM 1991 |
Methods — techniques the papers use, named apart from their topics
queueing analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1993 | Effects of station buffer capacity on token ring network performance
Robert H. Deng, Wendy C. L. Chiew |
Comput. Commun. | 2 |
| 1991 | Analysis of Token Ring Networks with Both Finite and Infinite Buffer Capacity StationsabstractThe effects of station buffer capacity on the performance of token-ring networks are investigated. The network is modeled as a multi-queue system with a single cyclic server, one finite buffer queue and an arbitrary number of infinite buffer queues, a nonexhaustive service discipline, constant station walking time, Poisson arrival processes, and general message service time distributions. For the particular cases of exponentially distributed and constant message service times, approximate average message delays for both the finite and infinite buffer stations and the probability of message blocking at the finite buffer station are given in explicit expressions. Several numerical results are presented. Interesting conclusions are obtained from comparing network performance in the case when the network traffic load is completely balanced with the case when the finite buffer station is much more heavily loaded than the individual infinite buffer stations.> Robert H. Deng, Wendy C. L. Chiew, Kuan-Tsae Huang |
INFOCOM | 2 |