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Patricia A. Jacobs

dblp:58/14 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1986
—ORCID · none

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

Theory of computation · 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 architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 80% Embedded and real-time systems · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation
gaussian approximation
0.011986
Processor-Shared Time-Sharing Models in Heavy Traffic · SIAM J. Comput. 1986
Performance modeling and evaluation › queueing models
heavy-traffic analysis
0.011986
Processor-Shared Time-Sharing Models in Heavy Traffic · SIAM J. Comput. 1986
Performance modeling and evaluation › queueing models
processor sharing
0.011986
Processor-Shared Time-Sharing Models in Heavy Traffic · SIAM J. Comput. 1986
Performance modeling and evaluation
queueing models
0.011986
Processor-Shared Time-Sharing Models in Heavy Traffic · SIAM J. Comput. 1986
Embedded and real-time systems › real-time scheduling › schedulability analysis
response time analysis
0.011986
Processor-Shared Time-Sharing Models in Heavy Traffic · SIAM J. Comput. 1986

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

probability model · 0.0heavy-traffic analysis · 0.0
YearPublicationVenuePosition
1986 Processor-Shared Time-Sharing Models in Heavy Traffic
abstract
Probability models are presented for computer systems with processor-shared (time-sliced) service discipline. The response (sojourn) time of an arriving job that requires T units of processing time is shown to be approximately Gaussian/normal under moderately heavy traffic conditions, e.g. when the number of terminals is large.
Donald P. Gaver, Patricia A. Jacobs
SIAM J. Comput.2