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Mabia Daniel-Cavalcante

dblp:134/8658 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none

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

Theory of computation · 1 · 1 first-author

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network performance modeling › network calculus
delay bounds
0.212013
Modular Methodology for the Network Calculus in a Time-Varying Context · IEEE Trans. Inf. Theory 2013
Network performance modeling
network calculus
0.212013
Modular Methodology for the Network Calculus in a Time-Varying Context · IEEE Trans. Inf. Theory 2013
Network performance modeling › network calculus
service curve
0.212013
Modular Methodology for the Network Calculus in a Time-Varying Context · IEEE Trans. Inf. Theory 2013

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

modular methodology · 0.2dioid algebra · 0.2
YearPublicationVenuePosition
2013 Modular Methodology for the Network Calculus in a Time-Varying Context
abstract
Network calculus (NC) is a set of rules and results for computing bounds for performance parameters of communication systems, such as end-to-end delay, maximum backlog, and service curves. Previous works show that the problem of determining performance bounds of communication networks is simplified if modeled using the dioid algebra. In this paper, we propose a methodology that allows the treatment of NC problems in a modular basis in a time-varying context, i.e., when curves vary with time. From the proposed methodology, we extend some results of the literature and derive new results on NC. Among the obtained results, we introduce an alternative representation of service guarantees that better explore the available knowledge of systems. We also define variable delay functions that lead to less conservative delay bounds than those in the literature. Finally, we analyze a FIFO multiplexer with M input flows.
Mabia Daniel-Cavalcante, Rafael Santos-Mendes
IEEE Trans. Inf. Theory1