A man/machine workload model

Author:

Willis Ronald R.1

Affiliation:

1. Hughes Aircraft Company, Fullerton, California

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.

Publisher

Association for Computing Machinery (ACM)

Reference14 articles.

1. Crothers C. G. "Workload Determination and Representation for On-line Computer Systems" rpt MTR-2682 AD779-818 Mitre Corp. Bedford Mass. Jan. 1974. Crothers C. G. "Workload Determination and Representation for On-line Computer Systems" rpt MTR-2682 AD779-818 Mitre Corp. Bedford Mass. Jan. 1974.

2. Esposito J. E. "Statistical Analysis to Determine Digital Computer Workload Characteristics" rpt MTR-2740 AD786-061 Mitre Corp. Bedford Mass. June 1974. Esposito J. E. "Statistical Analysis to Determine Digital Computer Workload Characteristics" rpt MTR-2740 AD786-061 Mitre Corp. Bedford Mass. June 1974.

3. Use of performance analysis statistics in computer system simulation

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