МЕТОД ІЄРАРХІЧНОЇ ДИНАМІЧНОЇ САМООРГАНІЗАЦІЇ ОБЧИСЛЮВАЛЬНИХ ВУЗ-ЛІВ У САМООРГАНІЗОВАНИХ ТЕЛЕКОМУНІКАЦІЙНИХ СИСТЕМАХ
DOI:
https://doi.org/10.18372/2310-5461.70.21195Ключові слова:
самоорганізована телекомунікаційна система, ієрархічна самоорганізація, кластеризація вузлів, координатор кластера, подієва реконфігурація, живучість мережі, edge computing, fog computingАнотація
The article develops a method for the hierarchical dynamic self-organisation of computing nodes in self-organising telecommunications systems intended for operation under conditions of variable topology, heterogeneous resources, dynamic traffic, and partial failures. The proposed approach is based on the formalisation of the system as a dynamic weighted graph and provides for the construction of a multi-level management structure with local clusters, cluster coordinators, and higher aggregation levels.
Within the framework of the method, a proximity function for node clustering, an integral ranking for coordinator selection, failover rules, and event-driven logic for the reconfiguration of intra-cluster and inter-cluster connections are defined. Unlike approaches in which clustering, coordinator selection, and structural reconfiguration are considered separately, these components are integrated into a single mechanism of controlled multi-level self-organisation. A system of evaluation criteria is substantiated, including average delay, load imbalance, service continuity, reconfiguration time, and an integral survivability indicator. The structure of a simulation experiment for the further verification of the proposed method is formed, and a format for the comparative presentation of results is defined.
The practical value of the study lies in the possibility of applying the method in edge/fog infrastructures, distributed computing platforms, and specialised telecommunications networks where resilience, scalability, and reconfiguration efficiency are critical.
Посилання
IEEE, “IEEE Standard for Adoption of OpenFog Reference Architecture for Fog Computing,” IEEE Std 1934-2018, pp. 1–176, 2018, https://doi.org/10.1109/IEESTD.2018.8423800
M. Chiang and T. Zhang, “Fog and IoT: An Overview of Research Opportunities,” IEEE Internet of Things Journal, vol. 3, no. 6, pp. 854–864, 2016, https://doi.org/10.1109/JIOT.2016.2584538
C. Mouradian, D. Naboulsi, S. Yangui, R. H. Glitho, M. J. Morrow, and P. A. Polakos, “A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges,” IEEE Communications Surveys & Tutorials, vol. 20, no. 1, pp. 416–464, 2018, https://doi.org/10.1109/COMST.2017.2771153.
Y. Mansouri and M. A. Babar, “A Review of Edge Computing: Features and Resource Virtualization,” Journal of Parallel and Distributed Computing, vol. 150, pp. 155–183, 2021, https://doi.org/10.1016/j.jpdc.2020.12.015.
A. Salaht, F. Desprez, and A. Lebre, “An Overview of Service Placement Problem in Fog and Edge Computing,” ACM Computing Surveys, vol. 53, no. 3, Art. no. 60, 2020, https://doi.org/10.1145/3391196.
C. B. Bachiega, L. A. de Carvalho, and A. Araujo, “Orchestration in Fog Computing: A Comprehensive Survey,” ACM Computing Surveys, vol. 55, no. 2, Art. no. 38, 2022, https://doi.org/10.1145/3486221.
I. Syvolovskyi and V. Lysechko, “A Method of Hierarchical Clustering of Nodes in Distributed Telecommunication Systems Using Graph Algorithms,” Control, Navigation and Communication Systems, no. 2, pp. 255–262, 2025, https://doi.org/10.26906/SUNZ.2025.2.255.
I. Syvolovskyi and V. Lysechko, “Method for Leader Node Selection and Processing Pipeline Formation in Distributed Telecommunication Systems,” Science-Based Technologies, vol. 66, no. 2, pp. 190–200, 2025, https://doi.org/10.18372/2310-5461.66.20311.
R. Mahmud, S. Pallewatta, M. Goudarzi, and R. Buyya, “iFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and Microservice Management in Edge and Fog Computing Environments,” Journal of Systems and Software, vol. 190, Art. no. 111351, 2022, https://doi.org/10.1016/j.jss.2022.111351.
A. Liutkevičius, N. Morkevičius, A. Venčkauskas, and J. Toldinas, “Distributed Agent-Based Orchestrator Model for Fog Computing,” Sensors, vol. 22, no. 15, Art. no. 5894, 2022, https://doi.org/10.3390/s22155894.
S. Shaik and S. Baskiyar, “Distributed Service Placement in Hierarchical Fog Environments,” Sustainable Computing: Informatics and Systems, vol. 34, Art. no. 100744, 2022, https://doi.org/10.1016/j.suscom.2022.10074.
S. Shaik, N. Khasim, and S. Baskiyar, “Hierarchical and Autonomous Fog Architecture,” in Proceedings of the 47th International Conference on Parallel Processing Companion, pp. 1–10, 2018, https://doi.org/10.1145/3229710.3229740.
A. M. Maia, D. Vieira, Y. Ghamri-Doudane, C. A. P. Rodrigues, M. B. Pereira, and M. F. de Castro, “A Hierarchical Control for Application Placement and Load Distribution in Edge Computing,” Future Generation Computer Systems, vol. 166, Art. no. 107631, 2025, https://doi.org/10.1016/j.future.2024.107631.
C. Papaioannou, A. Dimara, A. Papaioannou, I. Tzitzios, C.-N. Anagnostopoulos, and S. Krinidis, “Hierarchical Resources Management System for Internet of Things-Enabled Smart Cities,” Sensors, vol. 25, no. 3, Art. no. 616, 2025, https://doi.org/10.3390/s25030616.
P. Bieliaiev, V. Lysechko, O. Komar, and G. Cherneva, “Methods for Improving the Stability of Leader Election in Fog/Edge Networks Under Dynamic Topology Changes,” Mechanics, Transport, Communications, vol. 23, no. 2, Art. no. 2664, 2025, Available: https://mtc-aj.com/library/2664_EN.pdf.
O. Lozko, V. Lysechko, I. Syvolovskyi, and V. Pastushenko, “Method of Multi-Criteria Optimisation of Data Flow Distribution in Self-Organised Telecommunications Networks,” Control, Navigation and Communication Systems, vol. 1, no. 83, pp. 206–213, 2026, https://doi.org/10.26906/SUNZ.2026.1.206.
M. Schrauth, M. Thome, T. Ohlenforst, and F. Kreyß, “Self-Organized Neural Network Inference in Dynamic Edge Networks,” Applied Sciences, vol. 15, no. 23, Art. no. 12615, 2025, https://doi.org/10.3390/app152312615.
S. Najjar, M. David, W. Derigent, and A. Zouinkhi, “Dynamic Reconfiguration of Wireless Sensor Networks: A Survey,” Computer Networks, vol. 262, Art. no. 111176, 2025, https://doi.org/10.1016/j.comnet.2025.111176
Z. Lin, C. Chen, J. Chen, and Z. Liu, “A Hierarchical Fractal Space NSGA-II-Based Cloud–Fog Collaborative Optimization Framework for Latency and Energy-Aware Task Offloading in Smart Manufacturing,” Mathematics, vol. 13, no. 22, Art. no. 3691, 2025, https://doi.org/10.3390/math13223691.
I. Ullah, A. Arishi, S. K. Singh, F. Alharbi, A. H. Ibrahim, M. Islam, Y. I. Daradkeh, and C. Choi, “Autonomous Network Management for 6G Communication: A Comprehensive Survey,” Digital Communications and Networks, vol. 11, no. 6, pp. 1917–1940, 2025, https://doi.org/10.1016/j.dcan.2025.07.001.
##submission.downloads##
Опубліковано
Як цитувати
Номер
Розділ
Ліцензія
Авторське право (c) 2026 O Lozko
Ця робота ліцензується відповідно до Creative Commons Attribution 4.0 International License.
Науковий журнал дотримується принципів відкритого доступу (Open Access) та забезпечує вільний, негайний і постійний доступ до всіх опублікованих матеріалів без фінансових, технічних або юридичних обмежень для читачів.
Усі статті публікуються у відкритому доступі відповідно до ліцензії Creative Commons Attribution 4.0 International (CC BY 4.0).
Авторські права
Автори, які публікують свої роботи в журналі:
-
зберігають за собою авторські права на свої публікації;
-
надають журналу право на перше опублікування статті;
-
погоджуються на поширення матеріалів за ліцензією CC BY 4.0;
-
мають право повторно використовувати, архівувати та поширювати свої роботи (у тому числі в інституційних та тематичних репозитаріях) за умови посилання на первинну публікацію в журналі.
