Concept of application architecture for constructing analytical approximation of the probability distribution of the number of customers in queuing systems based on simulation modeling

The article presents the idea and concept of the general architecture of the application for constructing an analytical approximation of the probability distribution of the number of customers in queuing systems. The main idea underlying this application is to construct analytical approximations of the probability distribution based on numerical results obtained in a series of simulation experiments of the corresponding queuing systems. The quality of the generated approximations will be assessed using metrics of the proximity of probability distributions. The article proposes a general algorithm for the process of constructing analytical approximations, classes, packages and data structures required for its implementation, as well as a detailing of their interactions to solve the problem. Contribution of the authors: the authors contributed equally to this article. The authors declare no conflicts of interests.

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