Application research of Bayesian optimization algorithm in DHCPv6 stateful allocation

Yang Liang

doi:10.1117/12.3055955

9 January 2025 Application research of Bayesian optimization algorithm in DHCPv6 stateful allocation

Yang Liang

Author Affiliations +

Proceedings Volume 13486, Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024); 134862I (2025) https://doi.org/10.1117/12.3055955
Event: Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024), 2024, Chengdu, China

Abstract

This paper studies the application of the Bayesian optimization algorithm in DHCPv6 stateful allocation, addressing the efficiency issues of traditional allocation strategies in high-load scenarios. By constructing a simulation platform, simulating different network load environments, and validating optimization effects in a real network, the experimental results show that the Bayesian optimization algorithm significantly improves network response speed and address allocation success rates, particularly excelling under high-load conditions. This research provides an important reference for further optimization of DHCPv6 networks and verifies the practical value of the algorithm.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yang Liang "Application research of Bayesian optimization algorithm in DHCPv6 stateful allocation", Proc. SPIE 13486, Fourth International Conference on Computer Vision, Application, and Algorithm (CVAA 2024), 134862I (9 January 2025); https://doi.org/10.1117/12.3055955

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