T.-C. Hou

dblp:285/0923 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1988
—ORCID · none

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

Computer networks · 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
1 paper
Network performance modeling · 77% Routing and switching · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network performance modeling
buffer requirements
0.011988
Effects of output buffer sharing on buffer requirements in an ATDM packet switch · INFOCOM 1988
Routing and switching › switch architecture
packet switch architecture
0.011988
Effects of output buffer sharing on buffer requirements in an ATDM packet switch · INFOCOM 1988

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

queueing analysis · 0.0correlation modeling · 0.0
YearPublicationVenuePosition
1988 Effects of output buffer sharing on buffer requirements in an ATDM packet switch
abstract
Broadband packet switches handling an asynchronous-time-division-multiplexing type protocol format, e.g. Starlite, can achieve buffer efficiencies by sharing buffers between output ports. It is shown that the number of buffers required with sharing, for random traffic, would be overestimated by as much as 30% at 90% traffic load if the negative correlations that naturally exist, for this type of traffic, between packet streams destined for different output ports were not taken into account. In general, the discrepancy increases as the traffic load increases, and decreases as the switch size increases. A general approach is developed for the analysis of set of queues to which the arrival streams are correlated, which could be used to assess the impacts on shared buffer requirements due to other types of stream correlation (e.g. positive correlations) that may result from other traffic assumptions.>
Adrian E. Eckberg, T.-C. Hou
INFOCOM2