Demo Data from EDBT 2026 / reviewers in the wild / expert
Xiao-Xiong Yao
dblp:90/2707
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1992
—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 performance modeling · 70% Wireless networking · 30% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling
mean value analysis |
0.0 | 1 | 1992 | Modeling and Performance Analysis of File Transfer in a Satellite Wide Area Network · IEEE J. Sel. Areas Commun. 1992 |
Wireless networking › network capacity
throughput bounds |
0.0 | 1 | 1992 | Modeling and Performance Analysis of File Transfer in a Satellite Wide Area Network · IEEE J. Sel. Areas Commun. 1992 |
Network performance modeling › simulation modeling
simulation validation |
0.0 | 1 | 1992 | Modeling and Performance Analysis of File Transfer in a Satellite Wide Area Network · IEEE J. Sel. Areas Commun. 1992 |
Methods — techniques the papers use, named apart from their topics
upper and lower bound derivation · 0.0mean value analysis · 0.0computer simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Modeling and Performance Analysis of File Transfer in a Satellite Wide Area NetworkabstractThe authors consider the network modeling and performance analysis of multimedia file transfer between workstations connected to remotely located local area networks (LANs). The LANs are linked by a satellite wide-area network (SWAN) with a high bandwidth and high path delay. Four areas are addressed: (1) development of a fairly accurate interconnection network model using measured delay values for different network elements; (2) derivation of tight upper and lower bounds for the network throughput for both error-free and error-prone channels using mean value analysis; (3) validation of the model using computer simulation; and (4) analysis of the SWAN performance using numerical results for a wide range of parameters (file sizes, window size, link speed, number of workstations, etc.) for the case of a multimedia SWAN. Based on the analyses, performance bottlenecks for different operating conditions that could be used to evolve design criteria for better overall system performance are identified.> Oliver W. W. Yang, Xiao-Xiong Yao, K. M. Sundara Murthy |
IEEE J. Sel. Areas Commun. | 2 |