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Adrian E. Eckberg Jr.

dblp:178/3783 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1979
—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 architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%
Computer networks
1 paper
Routing and switching · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation › network performance analysis
delay distribution
0.011979
The Single Server Queue with Periodic Arrival Process and Deterministic Service Times · IEEE Trans. Commun. 1979
Performance modeling and evaluation
queueing models
0.011979
The Single Server Queue with Periodic Arrival Process and Deterministic Service Times · IEEE Trans. Commun. 1979
Performance modeling and evaluation › queueing models
single server queue
0.011979
The Single Server Queue with Periodic Arrival Process and Deterministic Service Times · IEEE Trans. Commun. 1979
Routing and switching › packet switching
packet-switched networks
0.011979
The Single Server Queue with Periodic Arrival Process and Deterministic Service Times · IEEE Trans. Commun. 1979

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

analytical derivation · 0.0
YearPublicationVenuePosition
1979 The Single Server Queue with Periodic Arrival Process and Deterministic Service Times
abstract
We derive an algorithm for computing the exact delay distribution for the following first-come-first-served single server queue. The arrival process is the superposition ofN + 1independent equivalent deterministic arrival streams, and the service times are deterministic. Numerical results are used to compare this system with an approximating system which has been used in the absence of exact results: theM/D/1queue (Poisson input, deterministic service time). A comparison with a finite source model is also given. This study was motivated by the following issue germane to packet switching data networks. There areN + 1packet processes, arriving over identical trunks, which must share the transmission capacity of a single high-speed trunk in a store-and-forward manner. The idealized queueing model above analyzes the worst-delay situation for this problem when the incoming trunks are fully utilized and the packets are maximum sized. The results indicate that anM/D/1approximation can be quite pessimistic in predicting the performance of such a system.
Adrian E. Eckberg Jr.
IEEE Trans. Commun.1