
study of distributed data processing systems, as well as algorithms for their functioning, was carried out. Restrictions associated with the heterogeneity of processing objects, fuzziness of input and output data about them are revealed. The expediency of taking into account these limitations in the entity description model is substantiated. An improved GERT-network of scheduling distribution tasks for a single n-th set of data types. Based on the Gert-network, a mathematical model of a task scheduler in a distributed computing system has been developed, taking into account the possibilities of analyzing and adapting heterogeneous entities. Accounting for these factors made it possible to increase the accuracy of modeling up to 1.5 times.
distributed computing system ; task scheduler ; mathematical model
distributed computing system ; task scheduler ; mathematical model
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