An analysis of the efficiency of the process of servicing the flow of requests for creating IT-services used a simulation model

The paper discusses the issues of analyzing the effectiveness of the process of servicing the flow of requests for creating IT services using the simulation modeling method. It shows that the well-known simulation tools do not allow full simulation of the application service process in information and communication in-frastructure administration units characterized by the controlled resource flow nature. The study involved the development of software to simulate the process of servicing the flow of requests for creating IT services. Its main difference was the ability to manage the resource source during the process of servicing requests and the possibility of simultaneous experiments on the same source data with several service disciplines. The simulation model was developed in the Microsoft Visual Studio environment and consists of five macroblocks: a request generator, a resource generator, a service device, an algorithm block and an experiment block. The algorithm block allows connecting external models in the form of library blocks that implement the request flow processing through a unified interface, including the ability to generate commands to manage the resource source. The experiment block allows performing streaming experiments based on the specified settings and saved experiment files. The main difference of the developed simulation model is the creation of multiple independent request service flows for various algorithms. The possibility of conducting comparative analysis experiments is illustrated by a se-ries of experiments with stationary and non-stationary request flows and stationary, non-stationary and controlled resource flow based on a family of alternative control algorithms. The results of using a simulation model of the process of servicing requests for creating infocommunication services made it possible to evaluate the effectiveness of the developed promising control algorithms within the framework of the study.