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F. Salvatore

dblp:46/3067 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · unresolved

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 · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network performance modeling › teletraffic engineering
ATM multiplexer
0.011992
Stochastic Fluid Analysis of an ATM Multiplexer Loaded with Heterogeneous ON-OFF Sources: and Effective Computational Approach · INFOCOM 1992
Network performance modeling › traffic modeling
heterogeneous ON-OFF sources
0.011992
Stochastic Fluid Analysis of an ATM Multiplexer Loaded with Heterogeneous ON-OFF Sources: and Effective Computational Approach · INFOCOM 1992
Network performance modeling › queueing analysis
queueing models of computer systems
0.011992
Stochastic Fluid Analysis of an ATM Multiplexer Loaded with Heterogeneous ON-OFF Sources: and Effective Computational Approach · INFOCOM 1992
Network performance modeling
traffic modeling
0.011992
Stochastic Fluid Analysis of an ATM Multiplexer Loaded with Heterogeneous ON-OFF Sources: and Effective Computational Approach · INFOCOM 1992

Methods — techniques the papers use, named apart from their topics

stochastic fluid flow · 0.0linear differential equations · 0.0approximate computational technique · 0.0
YearPublicationVenuePosition
1992 Stochastic Fluid Analysis of an ATM Multiplexer Loaded with Heterogeneous ON-OFF Sources: and Effective Computational Approach
abstract
The authors study the loss performance of an asynchronous transfer mode (ATM) multiplexer, whose input consists of the superposition of a multiplicity of heterogeneous on-off sources. The stochastic fluid flow approach yields the entire buffer occupancy probability distribution in terms of the solution of a linear differential equation system. The focus is on the numerical investigation of the steady-state behavior of models involving very large state spaces. A novel approximate technique is introduced allowing a dramatic reduction of the computational burden, so that the analysis of a large variety of traffic mixes becomes feasible. Many numerical results are presented to support the accuracy of the method. Applications of the analysis method are outlined.>
Andrea Baiocchi, Nicola Blefari-Melazzi, Aldo Roveri, F. Salvatore
INFOCOM4