Optimizing the operation of a digitized organizational system through proactive management of information environment parameters

The paper considers the problem of optimizing the functioning of a digitalized organizational system in a dynamically changing information environment. It is shown that traditional reactive control methods do not provide the required level of reliability and efficiency under high load variability. The necessity of transition to proactive management based on anticipatory changes in the parameters of the information environment is substantiated. A formalization of the optimization problem is proposed, taking into account the total costs of system operation and probabilistic reliability requirements. A method for selecting optimal control parameters is developed, based on the introduction of a generalized functional that combines the efficiency criterion and penalty constraints, as well as an iterative procedure for parameter correction using pseudo-random initialization, an adaptive step, and a mechanism for updating penalty coefficients. A feature of the method is taking into account predicted changes in the state of the system, which makes it possible to implement a proactive control mechanism. It is shown that the proposed approach provides cost reduction, increased operational stability and prevention of critical system states. The limitations of the method (sensitivity to the choice of hyperparameters, dependence on the quality of predictive models) and directions for its further development are identified. The practical significance of the work lies in the possibility of applying the proposed approach in resource management systems for cloud platforms, container orchestrators and other digitalized organizational systems with dynamically changing loads.

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