D. E. Brotherton
Abstract
Measurements of themselves have tended to concentrate on specific computer configuration components (e.g., CPU load, channel load, disk data set contention, problem program optimization, operating system optimization, etc.) rather than at the total computer configuration level. As a consequence, since these components can have a high degree of interaction, the requirement currently exists for a workable configuration performance concept which will reflect the configuration performance change that is the resultant of single or multiple component change. It is the author's opinion that such a concept will provide management and measurement specialists a planning and analysis tool that can be well Used in evaluating the costs. It is to this configuration performance concept that this paper is addressed, and the concept by my choosing is named “The Computer Capacity Curve.”
- 1 Revision of the paper by the same title presented at Value Computing, Inc. Proceedings Workshop '73, December, 1973, New Orleans, La.Google Scholar
- 2 Cohen, L. J. System Performance Measurement. Copyright September 1, 1970. AMR Seminar Notes, Computer System Performance Measurement. July 24-26, 1972. Washington, D.C.Google Scholar
- 3 Watson, R. Computer Performance Analysis: Applications of Accounting Data. Rand Report R-573-NASA/PR, May, 1971.Google Scholar
- 4 Harder, D. C. Computer EKG, Cleveland, Ohio. Unpublished Notes.Google Scholar
- 5 Harder, D. C. Tools that Measure Computer Processing Efficiency. ASM Technical Department Conference Workshop, Data Processing Hardware, January 17-18, 1973, Cleveland, Ohio.Google Scholar
Index Terms
- The computer capacity curve - a prerequisite for computer performance evaluation and improvement
Recommendations
The computer capacity curve - a prerequisite for computer performance evaluation and improvement
SIGMETRICS '74: Proceedings of the 1974 ACM SIGMETRICS conference on Measurement and evaluationMeasurements of themselves have tended to concentrate on specific computer configuration components (e.g., CPU load, channel load, disk data set contention, problem program optimization, operating system optimization, etc.) rather than at the total ...
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