Demo Data from EDBT 2026 / reviewers in the wild / expert
Shii-Tyng Duann
dblp:31/6836
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1996
—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 · 40% Network optimization and economics · 20% Cellular and mobile networks · 20% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet architecture and protocols
ATM networks |
0.0 | 1 | 1996 | Design of a real-time call admission controller for ATM networks · IEEE/ACM Trans. Netw. 1996 |
Cellular and mobile networks
call admission control |
0.0 | 1 | 1996 | Design of a real-time call admission controller for ATM networks · IEEE/ACM Trans. Netw. 1996 |
Network performance modeling › packet loss
cell loss probability |
0.0 | 1 | 1996 | Design of a real-time call admission controller for ATM networks · IEEE/ACM Trans. Netw. 1996 |
Internet architecture and protocols
quality of service |
0.0 | 1 | 1996 | Design of a real-time call admission controller for ATM networks · IEEE/ACM Trans. Netw. 1996 |
Network optimization and economics
resource allocation |
0.0 | 1 | 1996 | Design of a real-time call admission controller for ATM networks · IEEE/ACM Trans. Netw. 1996 |
Methods — techniques the papers use, named apart from their topics
effective bandwidth · 0.0bufferless fluid flow model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Design of a real-time call admission controller for ATM networksabstractIn this paper, we present a real-time computation algorithm based on the bufferless fluid flow model [Jabbari and Yegenolu, 1992] for call admission control (CAC) on one link of an asynchronous transfer mode (ATM) network with heterogeneous bursty traffic. Cell loss probability is adopted as the measure of quality-of-service (QoS). Our computation algorithm requires a constant memory size and needs only two multiplications and one division to determine whether a connection request can be accepted or not. It is known [Murase et al., 1991], that due to the interference between different types of traffic the individual cell loss probability may not meet the requirement even though the global one does. In this paper, we provide a close upper-bound for individual cell loss probability which can easily be obtained with our computation algorithm. Numerical examples using typical traffic parameters are studied to corroborate the upper-bound. We also compare the performance of the investigated CAC scheme with that of the effective bandwidth technique [Elwalid and Mitra, 1993]. Tsern-Huei Lee, Kuen-Chu Lai, Shii-Tyng Duann |
IEEE/ACM Trans. Netw. | 3 |