Abstract
Network slicing is an important technology for implementing on-demand networking based on the 5G network architecture of SDN/NFV. By analyzing the main scenarios of 5G, a network slice orchestration algorithm based on GA-PSO optimization under the SDN/NFV architecture is proposed. This algorithm uses the particle swarm optimization algorithm to quickly converge on the characteristics of the global optimal solution, and design the evaluation function of network slice performance. Moreover, the ability of genetic algorithm to quickly search randomly is used to update and optimize the network slice, and the particle swarm is used to chase the local optimal solution and the global optimal solution to obtain the optimal network slice. Simulation experiment results show that the algorithm can realize the personalized creation of network slices in multi-service scenarios, give full play to the advantages of SDN’s centralized control mode, and reduce network energy consumption while improving network resource utilization.
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Acknowledgement
This work has been supported by the State Grid Henan Science and Technology project “Research on key technologies of service terminal ubiquitous access and slicing bearing in power IoT based on 5G network”.
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Wang, W., Shen, J., Zhao, Y., Wang, Q., Guo, S., Feng, L. (2021). An Orchestration Algorithm for 5G Network Slicing Based on GA-PSO Optimization. In: Liu, Q., Liu, X., Shen, T., Qiu, X. (eds) The 10th International Conference on Computer Engineering and Networks. CENet 2020. Advances in Intelligent Systems and Computing, vol 1274. Springer, Singapore. https://doi.org/10.1007/978-981-15-8462-6_79
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DOI: https://doi.org/10.1007/978-981-15-8462-6_79
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