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M. L. Luhanga

dblp:285/0958 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none

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

Computer networks · 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 · 75% Physical-layer communications · 25%

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

TopicWeightPapersLastEvidence papers
Network performance modeling › queueing analysis
fluid model
0.011988
A fluid approximation model of an integrated packet voice and data multiplexer · INFOCOM 1988
Physical-layer communications
multiplexer
0.011988
A fluid approximation model of an integrated packet voice and data multiplexer · INFOCOM 1988
Network performance modeling › queueing analysis › priority queueing
preemptive priority
0.011988
A fluid approximation model of an integrated packet voice and data multiplexer · INFOCOM 1988
Network performance modeling › queueing analysis
priority queueing
0.011988
A fluid approximation model of an integrated packet voice and data multiplexer · INFOCOM 1988

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

simulation · 0.0fluid approximation · 0.0
YearPublicationVenuePosition
1988 A fluid approximation model of an integrated packet voice and data multiplexer
abstract
A fluid approximation to an integrated packet voice and data multiplexer where the transmission of voice packets has preemptive priority over data packets is derived. Performance measures such as the average delay for both voice and data packets are given and a comparison of the average delay for data packets as a function of the data packet arrival rate is made between the analytical results and simulation results. A voice-rate flow control procedure is incorporated in the model and its effect on average voice and data packet delays is computed.>
M. L. Luhanga
INFOCOM1