Abstract

Existing models of program behaviour are shown to give an incomplete account of program locality. A model based on the distinction between short- and long-run equilibrium states in nearly completely decomposable systems is proposed to overcome this deficiency. This distinction leads to the combined use of a Markovian model of the transitions between localities and of separate models for the locality short-term behaviours. This combination is shown to give better estimations of the page fault rate and of the working set size distribution. The conditions under which this distribution is approximately normal and under which the assumptions of independent page references are valid are also clarified. The approach is illustrated by a numerical example, showing in particular that other models presented in the literature may have computer time and space requirements which are beyond practical possibilities.

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