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Christoph Christoph Strelen

dblp:123/2797 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1991
—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 architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 67% Electronic design automation · 33%

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

TopicWeightPapersLastEvidence papers
Electronic design automation › interconnect modeling
moment computation
0.011991
Moment analysis for load-dependent mixed product form queueing networks · IEEE Trans. Commun. 1991
Performance modeling and evaluation › queueing models
product-form queueing networks
0.011991
Moment analysis for load-dependent mixed product form queueing networks · IEEE Trans. Commun. 1991
Performance modeling and evaluation
queueing models
0.011991
Moment analysis for load-dependent mixed product form queueing networks · IEEE Trans. Commun. 1991

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

mean value analysis · 0.0
YearPublicationVenuePosition
1991 Moment analysis for load-dependent mixed product form queueing networks
abstract
A solution algorithm is developed for higher moments of the number of jobs at the stations in load-dependent mixed product form queuing networks. Such networks are important because they can be used to model computer systems and computer communication networks. A relationship is proved and applied between the derivatives of these moments and higher moments. The derivative measures are calculated using a mean value analysis type algorithm called moment analysis. The authors describe the model and review the product form solutions for load-dependent mixed queuing networks. They develop the moment analysis algorithm and the formulas for the performance measures such as the response time, throughput and mean number of jobs in the stations. The complexity of the algorithm is discussed.>
Ian F. Akyildiz, Christoph Christoph Strelen
IEEE Trans. Commun.2