A simulator for analyzing a network slicing policy with SLA-based performance isolation of slices
- Autores: Polyakov N.A.1, Yarkina N.V.1, Samouylov K.E.1,2
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Afiliações:
- Peoples’ Friendship University of Russia (RUDN University)
- Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (FRC CSC RAS)
- Edição: Volume 29, Nº 1 (2021)
- Páginas: 36-52
- Seção: Articles
- URL: https://journal-vniispk.ru/2658-4670/article/view/315308
- DOI: https://doi.org/10.22363/2658-4670-2021-29-1-36-52
- ID: 315308
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Resumo
Efficient allocation of radio access network (RAN) resources remains an important challenge with the introduction of 5G networks. RAN virtualization and division into logical subnetworks - slices - puts this task into a new perspective. In the paper we present a software tool based on the OMNeT++ platform and developed for performance analysis of a network slicing policy with SLA-based slice performance isolation. The tool is designed using the object-oriented approach, which provides flexibility and extensibility of the simulation model. The paper briefly presents the slicing policy under study and focuses on the simulator’s architecture and design. Numerical results are provided for illustration.
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Sobre autores
Nikita Polyakov
Peoples’ Friendship University of Russia (RUDN University)
Autor responsável pela correspondência
Email: goto97@mail.ru
Bachelor of Science, Master student
6, Miklukho-Maklaya St., Moscow, 117198, Russian FederationNatalia Yarkina
Peoples’ Friendship University of Russia (RUDN University)
Email: ksam@sci.pfu.edu.ru
Candidate of Sciences
6, Miklukho-Maklaya St., Moscow, 117198, Russian FederationKonstantin Samouylov
Peoples’ Friendship University of Russia (RUDN University); Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (FRC CSC RAS)
Email: ksam@sci.pfu.edu.ru
Doctor of Technical Sciences, Professor, applied Mathematics & Communications Technology Institute
6, Miklukho-Maklaya St., Moscow, 117198, Russian Federation; 44-2, Vavilov St., Moscow, 119333, Russian FederationBibliografia
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- R. Su, D. Zhang, R. Venkatesan, Z. Gong, C. Li, F. Ding, F. Jiang, and Z. Zhu, “Resource allocation for network slicing in 5G telecommunication networks: a survey of principles and models,” IEEE Network, vol. 33, no. 6, pp. 172-179, 2019. doi: 10.1109/MNET.2019.1900024.
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- N. Yarkina, Y. Gaidamaka, L. M. Correia, and K. Samouylov, “An analytical model for 5G network resource sharing with flexible SLA- oriented slice isolation,” Mathematics, vol. 8, 2020. DOI: 10. 3390 / math8071177.
- B. Rouzbehani, L. M. Correia, and L. Caeiro, “A service-oriented approach for radio resource management in virtual RANs,” Hindawi Wireless Communications and Mobile Computing, 2018. DOI: 10.1155/ 2018/4163612.
- B. Gladkih, Optimization techniques and operations research for computer science bachelors. Part 2. Non-linear and dynamic programming [Metody optimizacii i issledovanie operacij dlya bakalavrov informatiki. CH. 2. Nelinejnoe i dinamicheskoe programmirovanie]. Tomsk: Izd-vo NTL, 2011, in Russian.
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