Article Details

Abstract

To address the problems of low scheduling efficiency, difficult operation and maintenance, and insufficient resource utilization in computing power networks, this paper constructs a Digital Twin CDN intelligent scheduling and assurance platform. Through the network twin simulation optimization strategy, the platform achieves global perception, process observation, scheduling adjustment, and energy consumption optimization of the computing and network, transforming passive maintenance into active one to ensure the stability and security of data transmission. Experimental results show that routing optimization shortens the transmission time from minutes to seconds, and dynamic traffic load regulation improves resource utilization. Combined with energy-saving schemes, the platform helps operators reduce costs and increase efficiency. This platform improves the level of intelligent operation and maintenance, builds differentiated services, guarantees customer experience, and supports low-cost trials and intelligent innovation of computing and network businesses.

Keywords

CDN; Digital Twin; intelligent scheduling; SRv6

References

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Funding

Major Natural Science Research Projects of Anhui Provincial Department of Education in 2025 (2025AHGXZK20173, 2025AHGXZK20089); 2025 Anhui Provincial Department of Education Young Backbone Teachers Domestic and Overseas Visiting and Training Funding Project (JNFX2025145); 2025 Anhui Vocational and Adult Education Association Education Research Planning Project (AZCJ2025230)

About the authors

Tian Liu (1987-), female, Han ethnicity, from Hefei, Anhui, lecturer, master's student, research direction: signal and information processing.