OPTIMIZING THREADS FOR MULTI-FUNCTIONAL SYSTEMS

Abstract

In this work, the problem of managing and optimizing flows for multi-task and timevarying load systems is studied based on the G/G/c model. In such systems, the incoming request flow has
random and dynamic characteristics, and both the service intensity and queue length change over time.
Therefore, to ensure the efficiency of the system, it is necessary to manage and optimize flows in real
time.The study analyzes the distribution of flows in the system, load levels, and the dynamic changes of
service processes based on the G/G/c model. Using the model, it becomes possible to adjust the number of
service resources and their load coefficients over time. As a result, the queue length in the system decreases,
service delays are minimized, and resource utilization efficiency is increased.