One of the most important tasks that exist in modern networks is to maintain the Quality-of-Service QoS at the appropriate level which can be achieved by applying various traffic management mechanisms. In order to maintain the QoS parameters in the proper state, you need to know the types of traffic passing through the network. Given high-tech and high-performance networks such as SDN networks, traffic classification by conventional methods becomes almost impossible. Data mining methods, including Machine Learning methods, come to the rescue. The article analyzes the main promising approaches to real-time traffic classification for maintaining QoS in SDN networks by ML methods as well as provides a comparative overview of the most outstanding works in this field.

The navigation characteristics of a phase direction finder with an ultra-short base of a hydroacoustic system delivering an autonomous uninhabited underwater vehicle to a given underwater object using two delivery scenarios are considered.

Algorithm MinNumaDist for barrier’s root selection is proposed. A root process allocates memory pages for shared counters and flags from its NUMA node. Total distance is minimized to all NUMA nodes (closeness centrality) by the algorithm. MinNumaDist reduces barrier’s time by 1035% for asymmetrical NUMA subsystems - for different number of processes on NUMA nodes or different number of NUMA nodes used from each socket.

Any organization should take into account the threats to information assets to ensure information environment security. It is impossible to identify an entire field of all possible threats for each specific business: appearance of new threats may be caused by changes in the internal or external working conditions of an organization as well as the development of new technologies and other changes. Using time-tested standards and best international practices is highly recommended for managing incidents.

The article presents the rationale for determining the future state of the university based on the assessment of the development potential taking into account the involvement of the objects transforming potentials of the university external environment. As a result of the study, the systemic interactions of the market of educational services with the state and other markets were identified, and factors of the internal and external macro- and microenvironments that affect the efficiency of the university were also identified: dependence of the university on the parameters of the input and output values of the subjects of the external macro- and microenvironment is described; a diagram of the university’s usage of the market objects potentials of educational services and external environment subjects is developed: a conceptual approach to the self-government of the university based on the assessment of its development potential is created.

The article presents theoretical information about the methods of information retrieval from optical fibers. The simplest analyzed method is the bending of the optical fiber when violating the conditions of total internal reflection. The functional dependence of the losses and the level of radiated power on the parameters and bending geometry of the optical fiber are given. In this case, the introduced losses are monitored in the monitoring system for detecting fiber bends. The structure, principles of operation, and trends in the development of monitoring systems are presented. The main technical characteristics of optical radiation detection devices are demonstrated.

The method of S-parameters determination of passive non- reciprocal two-port networks based on the metered complex reflection coefficients is considered. The measuring equations are obtained, the methods of calibration and measurement are considered, modeling of a measurement method is produced, recommendations about application of the proposed method are given.

The problem of servicing network nodes of various communications by repair crews in order to prevent unforeseen emergency and emergency situations in the process of their functioning is considered. The problem of repair crew delivery to the network nodes is solved in the form of a modified traveling salesman problem. Unlike the classical traveling salesman problem, the possibilities were considered, firstly, the simultaneous use of more than one traveling salesman, and secondly, not only the costs of transporting repair crews from the organizational system to the utility network nodes and back were taken into account, but also the costs of repair work in the networks nodes. The results of the work are illustrated by a numerical example and indicate the effectiveness of the proposed approach in comparison with the known models of transport routing.