Abstract
Capacity planning, a major function of computer installation management, has the objective of determining cost-effective configurations to provide acceptable user service and system performance levels according to workload changes. The use of a performance predictive model is essential in the capacity planning process. This paper presents a research case study of the development of a performance model called PMOD, for the IBM OS/MVS operating system. The goal of the models is to predict user response times and system performance for different scheduling parameters, workloads and fast run times. Both the validation and usage of the model for capacity planning and system tuning are discussed.
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