CDN burst traffic coping method based on regional hotspot event perception

CN121907742BActive Publication Date: 2026-06-23XIAN MINGFU CLOUD COMPUTING CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XIAN MINGFU CLOUD COMPUTING CO LTD
Filing Date
2026-03-25
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing technologies lack an understanding of traffic hotspots themselves, resulting in slow resource startup speed and low operational efficiency. They fail to combine predicted traffic characteristics with advanced traffic engineering techniques for segment routing, impacting the user experience and resource utilization of CDNs under burst traffic conditions.

Method used

By acquiring multi-dimensional feature vectors of hot events, using traffic time series generative adversarial networks to predict the probability distribution of content requests, instantiating VMs and CNFs, selecting low-latency physical nodes, generating segment routing SRv6 strategies, optimizing resource deployment and path planning, and adjusting multi-path scheduling in conjunction with the spread speed of social media.

Benefits of technology

It enables proactive resource orchestration and path planning for bursty traffic, reducing user access latency and improving network resource utilization and service quality.

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Abstract

The present application belongs to the field of electric communication, and particularly relates to a CDN burst traffic coping method based on regional hotspot event sensing, comprising the following steps: obtaining original data of a hotspot event, extracting event semantic categories, social media propagation speed, initial user sentiment polarity and geographical user density distribution, and constructing a multi-dimensional event feature vector; inputting the multi-dimensional event feature vector as an initial state into a preset traffic time sequence generation adversarial network to obtain a content request probability distribution sequence of the hotspot event in a future time window; and according to the content request probability distribution sequence, when a predicted content request cumulative probability of a state-oriented long connection service is higher than a first preset threshold, instantiating a VNF service chain in a VM form. The present application can complete resource deployment and path pre-planning in advance, thereby reducing user access latency, guaranteeing service quality of the service, and improving overall utilization of network resources.
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Citation Information

Patent Citations

  • Multi-dimensional hotspot extraction method based on data analysis

    CN121210738A

  • Proactive spatiotemporal resource allocation and predictive visual analytics system

    US20170011299A1