Abstract
Increasing non-stationarity of cloud infrastructure resources and services leads to a significant decrease in its productivity. Therefore, the purpose of the article is to identify the reasons for non-stationarity of cloud infrastructure resources and services; finding ways to reduce the level of non-stationarity . As a result of the research, the following results were obtained . Sources leading to the specified non-stationarity are identified . Existing approaches to reducing non-stationarity are analyzed . An example of basic resource allocation using standard linear programming methods is given. Variants of application of these methods for dynamic redistribution of resources are shown. Conclusion. Allocation and dynamic redistribution of resources in the cloud infrastructure can be done using standard linear programming methods. But due to the significant non-stationarity of the cloud environment, the proposed approach will reduce the productivity of cloud resources. At the same time, with an increase in the number of variables and restrictions, the computational complexity of the proposed algorithm will grow exponentially . Therefore, it is necessary to look for other approaches for the distribution and redistribution of cloud resources in conditions of significant non-stationarity .
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