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Federal state owned military educational institution of the Higher professional Education "the black sea higher navy order of the red star academy by P.S.Nakhimov", 299028, Dybenko Str., Sevastopol, Russian Federation Abstract. The article considers the possibility of applying the Pareto optimization method in combination with the ant algorithm for solving the task of scheduling the loading of process equipment in a flexible production system. Quality characteristics of the obtained production schedule of the machining section are analyzed depending on the choice of various combinations of optimization criteria. As a result of the experiments, carried out in the test case, it was found that with increasing number of criteria, the number of iterations required for a sufficiently accurate description of the Pareto boundary increases, which entails an increase in the algorithm running time, but the quality characteristics do not decrease significantly.

A model of a cloud-based system for processing environmental monitoring data is proposed. The model takes into account the multi-tier web applications and the heterogeneity of the input flow of applications. As a characteristic of the efficiency of the data processing system, an additive criterion is chosen that takes into account the volume of processed requests and the load on the resources of the cloud infrastructure. The approach under consideration will allow creating a basis for modeling the processes occurring in natural-technical systems (NTS), analyze data processing processes during monitoring of key performance indicators of NТS and ensure that these indicators meet the requirements specified in SLA agreements through the use of alternative data processing strategies.