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Geoffrey A. Shippey

dblp:180/3400 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1966
—ORCID · none

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

Systems, architecture and hardware · 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.

Software engineering, system software, and programming languages
1 paper
Operating systems · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

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

TopicWeightPapersLastEvidence papers
Operating systems › resource management
memory management
0.011966
Statistical Analysis of Paged and Segmented Computer Systems · IEEE Trans. Electron. Comput. 1966
Operating systems › resource management › memory management
virtual memory
0.011966
Statistical Analysis of Paged and Segmented Computer Systems · IEEE Trans. Electron. Comput. 1966
Performance modeling and evaluation › simulation › architectural simulation
memory system simulation
0.011966
Statistical Analysis of Paged and Segmented Computer Systems · IEEE Trans. Electron. Comput. 1966
Performance modeling and evaluation
simulation
0.011966
Statistical Analysis of Paged and Segmented Computer Systems · IEEE Trans. Electron. Comput. 1966

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

statistical analysis · 0.0simulation · 0.0
YearPublicationVenuePosition
1966 Statistical Analysis of Paged and Segmented Computer Systems
abstract
This paper discusses some optimum design problems which arise when paging and segmentation are used in a multiprogrammed computer system, and suggests approaches to their solution. It is argued that design optimization depends fundamentally on the statistics of the typical software load presented to the computer system, and also that the investigation requires the aid of a total system model. Statistical techniques for defining software characteristics in such a model are presented. It is shown how these tools can be employed to simulate the changing contents of main memory; and as a further illustration, the simulation of an auxiliary memory is demonstrated. Graphs are given which show the variation of auxiliary memory performance with the number of associative cells available.
Jack E. Shemer, Geoffrey A. Shippey
IEEE Trans. Electron. Comput.2