use of performance analysis statistics in computer system simulation
A general purpose job stream simulation model has been developed for routine use in evaluating hardware configurations and performance tuning a large scale multiprocessor computing system operating in a multiprogramming mode. The model is designed to simulate a variable workload of jobs statistically generated from attributes of the actual workload for any time period. Major functional modules include job-step generation, job classing, scheduling and step initiation, core allocation, cpu operation, and I/O activity. Hardware attributes (such as, available core and number of DASD control units), operating considerations (such as, number and priority class structure of initiators), and workload characteristics can readily be varied at model initialization time.
use performance analysis statistics computation systems simulation generation generation streams model hardware configurability performance tuning multiprocessor operability variability workload attributes timing functional module class scheduling initialization core allocation activation control priorities structure large-scale general