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Shii-Tyng Duann

dblp:31/6836 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Internet architecture and protocols
ATM networks
0.011996
Design of a real-time call admission controller for ATM networks · IEEE/ACM Trans. Netw. 1996
Cellular and mobile networks
call admission control
0.011996
Design of a real-time call admission controller for ATM networks · IEEE/ACM Trans. Netw. 1996
Network performance modeling › packet loss
cell loss probability
0.011996
Design of a real-time call admission controller for ATM networks · IEEE/ACM Trans. Netw. 1996
Internet architecture and protocols
quality of service
0.011996
Design of a real-time call admission controller for ATM networks · IEEE/ACM Trans. Netw. 1996
Network optimization and economics
resource allocation
0.011996
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
YearPublicationVenuePosition
1996 Design of a real-time call admission controller for ATM networks
abstract
In 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