Abstract
In order to solve the problems of poor operational stability and high failure rate caused by the increasing number of terminal equipment devices and unreasonable resource allocation, an evolutionary game algorithm is used to construct an adaptive allocation method of terminal container parameters. First, deploy the smart metering terminal architecture and monitor the operating status of the terminal equipment. Subsequently, based on the idea of dominant resource balancing, the container placement order is determined by calculating the dominant resource request ratio of each terminal container, and a coarse-grained resource deployment strategy is obtained. Finally, an evolutionary game algorithm is used for fine-grained resource allocation and deployment to obtain the optimal strategy selection for terminal containers. Experimental results show that the proposed method can effectively improve resource utilization, improve the stable operation control capabilities and refined management level of remote terminal equipment, and ensure the reliable development of various upper-level business applications in marketing.
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Wu, Y., Wu, L., Yang, X., Chen, S., Xie, H. (2025). Adaptive Allocation Method of Terminal Container Parameters Based on Evolutionary Game. In: Zhang, H., Li, X., Hao, T., Meng, W., Wu, Z., He, Q. (eds) Neural Computing for Advanced Applications. NCAA 2024. Communications in Computer and Information Science, vol 2182. Springer, Singapore. https://doi.org/10.1007/978-981-97-7004-5_2
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DOI: https://doi.org/10.1007/978-981-97-7004-5_2
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