Abstract
The Fifth Generation (5G) network is expected to be flexible to satisfy user requirements and the Software-Defined Network (SDN) with Network Slicing will be a good approach for admission control. The 5G network resources are limited and the number of devices is increasing much more than the system can support. So, the overloading problem will be a very critical problem for 5G wireless networks. In this paper, we propose a Fuzzy-based scheme to evaluate the Slice Overloading Cost (SOC) considering 3 parameters: Virtual Machine Overloading Cost (VMOC), Link Overloading Cost (LOC) and Switches Overloading Cost (SWOC). We carried out simulations for evaluating the performance of our proposed scheme. From simulation results, we conclude that the considered parameters have different effects on the SOC performance. When VMOC, LOC and SWOC are increasing, the SOC parameter is increased.
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Ampririt, P., Qafzezi, E., Bylykbashi, K., Ikeda, M., Matsuo, K., Barolli, L. (2021). A New Scheme for Slice Overloading Cost in 5G Wireless Networks Considering Fuzzy Logic. In: Barolli, L., Yim, K., Enokido, T. (eds) Complex, Intelligent and Software Intensive Systems. CISIS 2021. Lecture Notes in Networks and Systems, vol 278. Springer, Cham. https://doi.org/10.1007/978-3-030-79725-6_11
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DOI: https://doi.org/10.1007/978-3-030-79725-6_11
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