APPLICATION OF SITUATIONAL MANAGEMENT MECHANISMS TO INCREASE THE EFFICIENCY OF INFOCOMMUNICATION NETWORKS

DOI: 10.31673/2786-8362.2025.022483

Abstract

In
recent years, developers have increasingly been solving the problems of designing complex control
systems using telecommunications objects. Therefore, objects for which the task of creating new concepts
arises when building control systems, that is, large systems, are of particular interest. Let us analyze the
characteristic features of control systems and their models that arise when designing such systems.
The article presents a method for solving the problem of managing an infocommunication network
object based on situational management. As is known, situational management originates from the
hypothesis that all the necessary information about managing an object can be obtained by directly
observing the operation of the object.
It is shown that to construct a situational control model, it is necessary to formulate the main
problem that must be solved in the process of such construction. If the solution set {P(t)} has cardinality l,
then the control problem will be solved. If it is possible to find such a partition of the set of situations Pi
into l classes, in which all situations {S(t)} will be assigned to a certain defined class Kl, to which some
solution Pi uniquely corresponds. However, it may happen that in a particular situation {S(t)} it is not
possible to specify the single most useful solution Pi. There may be several such solutions.
This leads to the formulation of the problem not of dividing situations {S(t)} into classes (when each
specific situation belongs to exactly one class), but of defining the set of situations {S(t)} by the set of
classes Kl. A state is allowed in which some situations {S(t)} simultaneously belong to several classes Kl.
In this case, it is only required that each specific situation {S(t)} belongs to at least one class Kl.
Keywords: control systems, situational control, infocommunication network, TMN,
microdescription, microsituation, classifier, extrapolator

References
1. ITU-T Recommendation M.3108.1. ITU-T Study Group 4 (1997-2000) approved under the
WTSC Resolution No. 1 procedure. 26th of March 1999.
2. ITU-T Recommendation M.3020 (1995), TMN interface specification methodology.
3. Network Environments, Managing Ray Hunt, John Vargo Encyclopedia of Information
Systems, 2003 pp 279-301.
4. Komajwar S., Korkmaz T. Challenges and solutions to consistent data plane update in
software defined networks. Computer Communications. 2018. Vol. 130. P. 50–59.
URL: https://doi.org/10.1016/j.comcom.2018.08.008.
5. The optimization of computer equipment during the modernization of the unified system
of centralized control and measurements of the SKS-7 network using the resources of the data
processing center / L. Berkman et al. Information and communication technologies, electronic
engineering. 2023. Vol. 3, no. 2. P. 88–94. URL: https://doi.org/10.23939/ictee2023.02.088.
6. Devising a method for receiving a multidimensional signal using high-order phase
difference modulation in next-generation mobile networks / N. Halahan et al. Eastern-European
Journal of Enterprise Technologies. 2025. Vol. 3, no. 9 (135). P. 19–32. URL:
https://doi.org/10.15587/1729-4061.2025.331201.
7. Klymash, M., Berkman, L., Otrokh, S., Pilinsky, V., Chumak, O., Hryshchenko, O. (2021).
Increasing the multi-position signals noise immunity of mobile communication systems based on
high-order phase modulation. Selected Papers of the XXI International Scientific and Practical
Conference "Information Technologies and Security" (ITS 2021), 147–157.
8. Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future
Wireless Communication System Design / T. S. Rappaport et al. IEEE Transactions on
Communications. 2015. Vol. 63, no. 9. P. 3029–3056. URL:
https://doi.org/10.1109/tcomm.2015.2434384.
9. Geyer F., Scheffler A., Bondorf S. Network Calculus with Flow Prolongation – A
Feedforward FIFO Analysis enabled by ML. IEEE Transactions on Computers. 2022. P. 1–14.
URL: https://doi.org/10.1109/tc.2022.3204225.