NDLI: A man/machine workload model

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Volume 8, Issue 4, Summer 1977

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Review of "Statistical Distributions in Scientific Work, by G. P. Patil, S. Kotz and J. K. Ord"

Randomness is a simulator's syndrome

Review of "Statistical Techniques for Analysing Social Science Data"

Randomness is nonsense

Review of "Discrete Mathematical Models", Prentice-Hall, Inc.

Randomness is a belief

Review of "Dynamic Stochastic Models from Empirical Data, by R. L. Kashyap and A. Ramachandra Rao", Acadmic Press, Inc., 1976

A rejoinder to "Randomness is Nonsense"

Random variable generators

Random deviates from the DIPOLE distribution

Uniform random number generator

PL/I process generators

Uniform random number generator by shift register method

Additional APL generators

Uniform random numbers in APL

A random number generator

A man/machine workload model

A comparison of clock pulse and event algorithms for simulation of traffic flow

Simulation of a dynamic balance theory

Computer simulation

The journal of irreproducible results

Some test results on the SIMSCRIPT II. 5 and SIMPL/1 pseudorandom number generators

Statistical tests of random number generators

A man/machine workload model

Content Provider	ACM Digital Library
Author	Willis, Ronald R.
Abstract	The fundamental nature of computer systems is to serve the user. If we wish to evaluate the performance of a computer system, we must therefore seek to characterize its responsiveness to those actions initiated by the user. It is this responsibility that isolates accurate workload distributions as an imperative ingredient in computer systems evaluation, and it is this ingredient that the man/machine workload model addresses.In particular, the model presented here simulates human activity at a terminal in real-time or time-share computer system environments. The use of flowcharts to represent human decision making and a variable language definition capability to code flowchart actions are key to the approach. The techniques described stress automatic and manual verification as well as the ability to accurately represent workloads at the point where workloads originate, the human.With this representative approach, accurate workload generation is a natural outcome. In addition, experience has shown that the man/machine workload model serves to enhance computer system simulation credibility, provide a tradeoff tool for human factors and operations design "what-if" questions, and most importantly, to provide a validation methodology for front-end system design efforts.
Starting Page	45
Ending Page	52
Page Count	8
File Format	PDF
ISSN	01636103
DOI	10.1145/1103189.1103203
Journal	ACM SIGSIM Simulation Digest (SIML)
Volume Number	8
Issue Number	1
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1990-12-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Content Type	Text
Resource Type	Article

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