This paper presents techniques for measurement and analytic modeling of disk subsystem performance. We measure disk subsystem performance using benchmark programs and develop an analytic model of the measured system. The model is calibrated and used as a tool for performance prediction. Our goal is to show problems related to practical modeling of real life computer systems and limitations of some traditional modeling techniques. We present models of load-dependent disks, disk cache, and load-dependent Mean Value Analysis models having high predictive power.
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