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Richard M. Feldman

dblp:60/5173 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1981
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 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 architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

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

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation › queueing models › queueing discipline
feedback queues
0.011981
Measurement Bias in Feedback Queues · J. ACM 1981
Performance modeling and evaluation
queueing models
0.011981
Measurement Bias in Feedback Queues · J. ACM 1981
Performance modeling and evaluation
workload characterization
0.011981
Measurement Bias in Feedback Queues · J. ACM 1981

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

queueing theory · 0.0poisson arrival modeling · 0.0
YearPublicationVenuePosition
1981 Measurement Bias in Feedback Queues
abstract
A classical method of measunng the number of lobs m a trine-shared computer system ,s to collect statistics at the epochs of quantum completions.A computer system utilizing round-robin quantum allocations ~s modeled as a feedback queue with Poisson amvals and exponential service times, and the bias in the stausuc taken at the quantum compleuons is quant,fied.The difference botween this statistic and the true Ume-average system size is given for such a system including quanta and overhead.
Richard M. Feldman, Gerald W. Adkins, Guy L. Curry, Udo W. Pooch
J. ACM1