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The problem of modeling the performance distributions of queueing systems, on the basis of partial knowledge of the service time distribution, is examined from an information theory point of view. A new method is proposed, based on the Mutual Information Principle (MIP) which generalizes the Maximum Entropy Principle (MEP) approach proposed by Shore. An example is given to illustrate the method and its advantages are discussed.