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Josée Mignault

dblp:88/1133 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2Systems, architecture and hardware · 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
2 papers
Network measurement and analytics · 44% Network performance modeling · 33% Internet architecture and protocols · 13%

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

TopicWeightPapersLastEvidence papers
Network measurement and analytics
traffic characterization		 0.011995
On Characterizing an ATM Source via the Sustainable Cell Rate Traffic Descriptor · INFOCOM 1995
Network performance modeling › loss systems
blocking probability computation		 0.011993
Blocking Evaluation for Networks with Reward Maximization Routing · INFOCOM 1993
Internet architecture and protocols
ATM networks		 0.011995
On Characterizing an ATM Source via the Sustainable Cell Rate Traffic Descriptor · INFOCOM 1995
Routing and switching › adaptive routing
state-dependent routing		 0.011993
Blocking Evaluation for Networks with Reward Maximization Routing · INFOCOM 1993

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

link independence assumption · 0.0fixed point equations · 0.0
YearPublicationVenuePosition
1997 Resource Allocation for Worst Case Traffic in ATM Networks
Annie Gravey, J. Boyer, K. Sevilla, Josée Mignault
 Perform. Evaluation4
1995 On Characterizing an ATM Source via the Sustainable Cell Rate Traffic Descriptor
Fabrice Guillemin, Catherine Rosenberg, Josée Mignault
 INFOCOM3
1993 Blocking Evaluation for Networks with Reward Maximization Routing
abstract
A model for node-to-node blocking probability evaluation in loss networks with state-dependent routing minimizing the reward from carried calls is synthesized. The model is based on the link independence assumption and results in an extended set of fixed point equations solved by repeated substitutions. The policy maximizing the reward from the network and the network performance under this policy are evaluated at the same time. The extensive numerical study covers the issues of accuracy, convergence, and control of performance allocation among different call classes.>
Zbigniew Dziong, Josée Mignault, Catherine Rosenberg
 INFOCOM2