A method of multicriteria data stream distribution in telecommunication networks based on an evolutionary approach

The article presents a method of multicriteria decision-making for the distribution of data streams in telecommunication systems, developed on the basis of the modified genetic algorithm NSGA-III. The proposed model takes into account the dynamic nature of the load, resource constraints, the possibility of delegating tasks between clusters, and predicting peak traffic surges. The problem is formalized as a generalized scheduling problem with a set of criteria, including minimizing the use of node resources, load balancing, and reducing the number of delegated streams. The architecture of the system with the logic of stream processing and interaction of cluster coordinators is described. The developed algorithm includes adaptive updating of reference directions, hybrid ranking taking into account the probability of overload, and dynamic adjustment of the mutation rate according to the predicted load. The effectiveness of the proposed approach is confirmed by calculating the fitness function and analyzing the resulting Pareto fronts. It is substantiated that the method allows maintaining high flexibility and accuracy of data stream (load) distribution in the variable environment of telecommunication networks