Abstract

The paper is concerned with an allocation problem for a class of complex computer systems described by knowledge representations with unknown parameters (in particular, unknown execution times). The unknown parameters are assumed to be values of uncertain variables characterized by certainty distributions given by an expert. The formulation and solution of the optimal allocation problem for a set of parallel processors are presented. The extensions to cascade structure and to cases with uncertain and random parameters are discussed. A simple example illustrates the presented approach.

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