The research of cognitive methods of infocommunication management under conditions of uncertainty
DOI: 10.31673/2412-9070.2021.040713
DOI:
https://doi.org/10.31673/2412-9070.2021.040713Abstract
The methods of management of the fifth generation infocommunication networks under conditions of uncertainty are shown. The research of super-complex systems into which modern infocommunications with social networks superimposed on them turn is based on nonlinear cognitive methods, which currently claim the role of the basic paradigm in the management of intercommunications of the future. The scientific research is to ensure efficient and sustainable management of infocommunication networks under conditions of higher network capacity, multiservices, meeting the appropriate requirements for control systems for new heterogeneous superdense networks. The probabilistic-temporal characteristics of infocommunications management are used to carry out the research. This article offers a multi-agent management model that consists of a large number of agents, which own limited intellectuality and submit requests for services; this model is described by the Chapman–Kolmogorov equation. The analytical relations of the total number of intelligent agents in the system on receipt and service intensity in telecommunication networks are received. The relations that enable the telecommunication service management with different target functions: minimization of the number of downtime of intelligent agents or, visa versa, maximization of their number when there is the need to reserve resources for the expected burst of requests are described. It should be noted that control can be performed by specifying the probability value of transactions of intelligent agents, and the multi-agent system will perform the operational management independently.
Keywords: intelligent agent; probability; infocommunications; model; methods; characteristics.
References
1. Goldstein A. NGN/IMS and post-NGN Management Model // Proceedings of the International Conference on NEW2AN/ruSMART/NsCC. 2017. August 28-30.
2. Goldstein A., Akishin V., Goldstein B. Cognitive Models For Access Network Management // Proceedings of the International Conference on NEW2AN/ruSMART/NsCC. 2017. August 28-30.
3. Рассел С., Норвиг П. Искусственный интеллект. Современный подход. Москва: ООО «И.Д. Вильямс», 2016. 1408 с.
4. Шнепс-Шнеппе М. А., Сухомлин В. А., Намиот Д. Е. О глобальных информационных системах. // International Journal of Open Information Technologies. 2017. Т. 5, № 4. С. 55–62.
5. Akishin V., Goldstein A., Goldstein B. Cognitive models for access network management // Lecture Notes in Computer Science. 2017. Т. 10531. С. 375–381.
6. Ефимов В. В., Соколов Н. А., Федоров А. В. Вероятные направления эволюции телекоммуникационной системы // Труды ЦНИИС. Санкт-Петербургский филиал. 2016. Т. 1, № 1 (2). С. 11–23.
7. Goldshtein A. B. Two approaches for telecommunication networks management // T-Comm: Телекоммуникации и транспорт. 2018. Т. 12, № 3. С. 57–63.
8. Synchronization of delay for OTT services in LTE / A. B. Goldstein, A. A. Zarubin, A. V. [et al.] // Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO) conference proceedings. 2018.
9. Software applications of infocommunication networks. Approaches formation to developing models and methods of evolution / A. B. Goldshtein, V. S. Elagin, O. E. Kyzyurov [et al.] // Systems of Signals Generating and Processing in the Field of on Board Communications conference proceedings. 2018.
10. Rahul W. OSS/BSS for Converged Communication Networks. 2nd edn. ICT Serios. Elixir Panacea Consultancy Services. 2016.