1967
DOI: 10.1145/363427.363436
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The simulation of time sharing systems

Abstract: The development of new large scale time-sharing systems has raised a number of problems for computation center management. Not only is it necessary to develop an appropriate hardware configuration for these systems, but appropriate software adjustments must be made. Unfortunately, these systems often do not respond to changes in the manner that intuition would suggest, and there are few guides to assist in the analysis of performance characteristics. The development of a comprehensive simulation model to assis… Show more

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Cited by 50 publications
(12 citation statements)
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“…This time depends on the number of cards in the deck, the type of instructions, and the speed of the card reader. The mean service rate for a category i job is estimated according to pi = nilti (2) 4~sually 8:00 -11:OO am, 1:00 -2:00 pm, and 3:00 where ti is the time it takes to read ni jobs of category i. These estimates are presented in Table 2.…”
Section: Readermentioning
confidence: 99%
“…This time depends on the number of cards in the deck, the type of instructions, and the speed of the card reader. The mean service rate for a category i job is estimated according to pi = nilti (2) 4~sually 8:00 -11:OO am, 1:00 -2:00 pm, and 3:00 where ti is the time it takes to read ni jobs of category i. These estimates are presented in Table 2.…”
Section: Readermentioning
confidence: 99%
“…The early performance was predicted with some accuracy in a simulation study by Nielsen [26], who was then a graduate student at Stanford University.…”
Section: Ibm's System 360 and Its Operating Systemsmentioning
confidence: 99%
“…A relatively simple model has been chosen, so that many points in its parameter space can be examined. An excellent example of a converse choice is the work done by Nielsen [15], which uses a highly detailed model of the IBM 360/67 and its timesharing software to predict user response time and system loading. Because of the model's detail and its resulting long analysis time, only a single, rather haphazard optimization was possible.…”
Section: Display System Modelmentioning
confidence: 99%