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Models for Analysis and Prognostication of the Indicators of the Distributed Computer Systems’ Characteristics

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This paper proposes the model of evaluation of the data transfer rate within the distributed computer systems (DCS) based on the fractal-regression mechanism and the models of evaluation of the DCS' indicators of reliability and security based on the fractal approach and with the use of the multi-factors membership functions. It has been shown that the DCS' topology is based on fractoids: the nodes or the local clusters. Moreover it is characterized by fractal properties. With the suggested models the main indicators of the computer system' characteristics are the data transfer rate in the network, the reliability, the level of security calculated for a fractoid. Next, these main parameters are calculated for the DCS' full topology with the use of the fractal approach.
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Distributed Computing; Parameter Estimation; Predictive Models; Fractals

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