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Michael K. Wong

dblp:40/2276 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1993
—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 optimization and economics · 44% Network measurement and analytics · 22% Network performance modeling · 22%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network optimization and economics › resource allocation › joint resource allocation
bandwidth and buffer allocation		 0.011993
A Deterministic Fluid Model for Cell Loss in ATM Networks · INFOCOM 1993
Network performance modeling › packet loss
cell loss		 0.011993
A Deterministic Fluid Model for Cell Loss in ATM Networks · INFOCOM 1993
Network optimization and economics
resource allocation		 0.011993
A Deterministic Fluid Model for Cell Loss in ATM Networks · INFOCOM 1993
Network measurement and analytics
traffic characterization		 0.011993
A Deterministic Fluid Model for Cell Loss in ATM Networks · INFOCOM 1993
Internet architecture and protocols
ATM networks		 0.011993
A Deterministic Fluid Model for Cell Loss in ATM Networks · INFOCOM 1993
Internet architecture and protocols › traffic shaping
leaky bucket		 0.011993
A Deterministic Fluid Model for Cell Loss in ATM Networks · INFOCOM 1993

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

queueing analysis · 0.0fluid modeling · 0.0
YearPublicationVenuePosition
1993 A Deterministic Fluid Model for Cell Loss in ATM Networks
abstract
The cell loss suffered by a data stream in an asynchronous transfer mode (ATM) network is studied using its loss function L( mu , beta ). This is the number of cells lost if the stream were allocated a transmission bandwidth of mu cells per second and a buffer of beta cells. Properties of the loss function are derived. Two popular allocation schemes are studied: the fixed-rate-fixed-buffer scheme and the leaky bucket scheme. An example suggests how the loss function might be used to relate pricing of bandwidth and buffer resources to the resulting cell loss.>
Michael K. Wong, Pravin Varaiya
 INFOCOM1