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Roberto Paglino

dblp:47/2827 · DBLP profile ↗
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3ranked-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 · 3

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 · 33% Routing and switching · 33% Network performance modeling · 33%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

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

TopicWeightPapersLastEvidence papers
Internet architecture and protocols › ATM networks
ATM switching
0.011992
Busy Period Analysis for an ATM Switching Element Output Line · INFOCOM 1992
Network performance modeling › queueing analysis › queueing performance
busy period analysis
0.011992
Busy Period Analysis for an ATM Switching Element Output Line · INFOCOM 1992
Routing and switching › switch architecture
output queueing
0.011992
Busy Period Analysis for an ATM Switching Element Output Line · INFOCOM 1992
Performance modeling and evaluation › queueing models
markov chain model
0.011992
Busy Period Analysis for an ATM Switching Element Output Line · INFOCOM 1992

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

queueing analysis · 0.0markov chain analysis · 0.0
YearPublicationVenuePosition
1993 A Further Look at Statistical Multiplexing in ATM Networks
Flavio Bonomi, Sergio Montagna, Roberto Paglino
Comput. Networks ISDN Syst.3
1993 Dimensioning of an ATM Switch with Shared Buffer and Threshold Priority
John F. Meyer, Sergio Montagna, Roberto Paglino
Comput. Networks ISDN Syst.3
1992 Busy Period Analysis for an ATM Switching Element Output Line
abstract
The authors consider an N*N asynchronous transfer mode (ATM) switching element with output queuing, under a uniformity assumption for the traffic arriving on the various input lines and for the output line address of the incoming cells. The traffic on each input line is modeled as a two-state Markov chain. The distribution of the busy and idle periods for each output line is analytically derived. It is concluded that it is not easy to identify a simple two-state Markov chain model that provides an adequate description for the output traffic. The implications of two different output line address assignment mechanisms for the incoming cells are quantitatively described. An alternative method is outlined for the computation of the steady-state distribution of the number of cells in the system. An analysis of the numerical results is presented.>
Flavio Bonomi, Sergio Montagna, Roberto Paglino
INFOCOM3