Abstract
In this paper, we propose three metrics that could be used for accessing the effectiveness of a dynamic Network Slicing. On the one hand re-slicing could result in more adaptive resource allocation for different virtual network operators (VNO), but could arise the signaling overhead. On the other hand an insufficient amount of re-slicing could significantly decrease the quality of service for VNO users, but reduce the signaling delays. Proposed metrics could be used for analyzing the above-mentioned effect. We illustrate the metrics by the simulation model for a simple dynamic network slicing algorithm. We also propose a queuing system approach for analyzing dynamic network slicing for 2 VNOs.
The publication has been prepared with the support of the “RUDN University Program 5–100” (recipients I. Kochetkova, A. Vlaskina, Sect. 4). The reported study was funded by RFBR, project number 20-37-70079 (recipients I. Kochetkova, A. Vlaskina, V. Savich, Sect. 3). The reported study was funded by RFBR, project number 18-00-01555(18-00-01685) (recipients I. Kochetkova, Sect. 2). This article is based as well upon support of international mobility project MeMoV, No. CZ.02.2.69/0.0/0.0/16_027/00083710 funded by European Union, Ministry of Education, Youth and Sports, Czech Republic and Brno University of Technology.
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Kochetkova, I., Vlaskina, A., Burtseva, S., Savich, V., Hosek, J. (2020). Analyzing the Effectiveness of Dynamic Network Slicing Procedure in 5G Network by Queuing and Simulation Models. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2020 2020. Lecture Notes in Computer Science(), vol 12525. Springer, Cham. https://doi.org/10.1007/978-3-030-65726-0_7
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