UDC 004.72
RESEARCH AND ANALYSIS OF SEGMENTATION PROCESSES OF SOFTWARE – DEFINED NETWORK STRUCTURES BASED ON GENETIC ALGORITHM
D. A. Perepelkin, Dr. in technical sciences, full professor, the dean of Computer Engineering Faculty,
RSREU, Ryazan, Russia;
orcid.org/0000-0003-4775-5745, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Q. V. Cu, student RSREU, Russia;
orcid.org/0009-0007-1653-2983, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Software-defined networks (SDN) are currently one of the most promising technologies for building
modern computer networks. Centralized network management enables efficient management of network
flows and optimized use of network resources. One of the key tasks of SDN management is network segmentation, which improves network traffic processing efficiency and reduces data transmission latency. Objec tive: This paper considers the problem of segmenting software-defined network structures using a genetic algorithm. The proposed method enables the formation of network segments taking into account the internal connectivity of nodes and the data transmission latency within segments. A F function is used that takes into account the internal connectivity coefficient of segments and the average weighted transmission latency within a segment. Experimental studies demonstrate that using a genetic algorithm for network segmentation improves the structural connectivity of segments and reduces data transmission latency within network segments.
Key words: software-defined networks, network segmentation, Newman modularity, data transmission delay, OpenFlow protocol, genetic algorithm