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John Hogarth

dblp:30/4560 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1977
—ORCID · none

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

Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 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 networks
1 paper
Network optimization and economics · 77% Network performance modeling · 23%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 77% Parallel and multicore computing · 23%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

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

TopicWeightPapersLastEvidence papers
Network optimization and economics › resource allocation
capacity allocation
0.011977
Selecting Capacities in Computer Communication Systems · IEEE Trans. Software Eng. 1977
Performance modeling and evaluation › queueing models
queueing network model
0.011973
The Effect on Throughput of Multiprocessing in a Multiprogramming Environment · IEEE Trans. Computers 1973
Network performance modeling
queueing network model
0.011977
Selecting Capacities in Computer Communication Systems · IEEE Trans. Software Eng. 1977
Operating systems › resource management › process management
multiprogramming
0.011973
The Effect on Throughput of Multiprocessing in a Multiprogramming Environment · IEEE Trans. Computers 1973
Parallel and multicore computing › concurrent system
multitasking
0.011973
The Effect on Throughput of Multiprocessing in a Multiprogramming Environment · IEEE Trans. Computers 1973

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

simulation · 0.0queueing networks · 0.0queueing network analysis · 0.0optimization algorithm · 0.0diffusion approximation · 0.0
YearPublicationVenuePosition
1977 Selecting Capacities in Computer Communication Systems
abstract
This paper considers the selection of capacities, in two classes of open queueing network models of computer communication systems: 1) local-balanced queueing networks with multiple classes of customers and 2) the Reiser-Kobayashi diffusion approximation model. The problem of selecting optimal bandwidths for communication lines and switches and computing machinery is difficult due to 1) the economy of scale exhibited by components (i.e., the bandwidth per dollar increases with the total cost of the component) and 2) the discrete nature of computer/communication components (for instance it is possible to lease communication lines with 2400-Bd or 4800-Bd band-widths but not one with a 2401.3-Bd bandwidth). This paper develops aun algorithm to select servers taking both of these characteristics of server costs into account. The contribution of this paper is to discuss 1) the optimization of more general network models with 2) the consideration of more realistic tariffs and 3) more constraints on network behavior than were previously analyzed.
K. Mani Chandy, John Hogarth, Charles H. Sauer
IEEE Trans. Software Eng.2
1973 The Effect on Throughput of Multiprocessing in a Multiprogramming Environment
abstract
This paper investigates some of the effects of varying the number of central processing units (CPU's) available to a multiprogramming system both when parallel processing of a single task (multitasking) is allowed and is not allowed. The variables investigated are those that would be expected to control the CPU queue length distribution and include the degree of multiprogramming, CPU service discipline, CPU service distribution, the degree of cooperation between processors engaged in multitasking, and the ratio of CPU to I/O service capacity. The computer systems are modeled by queueing networks. Analytic results are displayed in many cases with supplementation by numeric and simulation solutions when convenient or necessary. It is demonstrated that under properly defined conditions doubling the number of CPU's in a system can more than double throughput. The effectiveness of multitasking in improving throughput is found to be fairly small if the degree of multiprogramming ranges from modest to high.
James C. Browne, K. Mani Chandy, John Hogarth, Chester C.-A. Lee
IEEE Trans. Computers3