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Kenneth J. Omahen

dblp:98/1706 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1978
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2 · 2 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
2 papers
Performance modeling and evaluation · 77% Cloud and datacenter computing · 23%

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

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation
queueing models
0.021978
Analysis and Applications of the Delay Cycle for the M/M/c Queueing System · J. ACM 1978
Capacity Bounds for Multiresource Queues · J. ACM 1977
Performance modeling and evaluation › queueing models › multiserver queue
m/m/m queue
0.011978
Analysis and Applications of the Delay Cycle for the M/M/c Queueing System · J. ACM 1978
Cloud and datacenter computing
resource allocation
0.011977
Capacity Bounds for Multiresource Queues · J. ACM 1977

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

scheduling analysis · 0.0closed-form analysis · 0.0capacity bound calculation · 0.0busy period decomposition · 0.0
YearPublicationVenuePosition
1978 Analysis and Applications of the Delay Cycle for the M/M/c Queueing System
abstract
The method of analysis employing decomposition of busy periods has, in various forms, been applied to the M/G/1 queueing system under a variety of scheduling rules This paper extends the technique of decomposition of busy periods in order to deal with the M/M/c queueing system. Particular attention is given to a special busy period referred to as a "delay cycle." The delay cycle commences with a delay period (of general distribution) in which jobs arrive but are not serviced, at the conclusion of the delay period, processing begins and continues until the system is empty. Closed form solutions are obtained for various entities such as distribution of busy period length and expected waiting time conditioned on the type of busy period in progress at the tmae of job arrival. These results are applied and extended to the analysis of six examples of multiprocessor systems.
Kenneth J. Omahen, V. Marathe
J. ACM1
1977 Capacity Bounds for Multiresource Queues
abstract
A mult~resource queuemg system is a single congestion point associated with a number of resources which may be of different types Amwng jobs s~multaneously require some comblnaUon of these resources for the duration of the processing time of the jobs.The capacity bound for such a system, given the characteristics of the input stream, is defined as the smallest input rate which is guaranteed to saturate the system regardless of the scheduling rule which ~s employed.An algorithm for calculating this bound is presented.The algorithm also specifies the proportion of time that the system should spend m processing various lob combinations in order to achieve the capacity hound.The ~mphcat~ons of this result are discussed for a number of resource allocation problems arising m computer systems. KEY WORDS AND PHRASES: computer
Kenneth J. Omahen
J. ACM1