Method for evaluating real-time performance of computing power network based on analytic hierarchy process

Through the real-time performance evaluation method of computing power network based on hierarchical analysis, the multi-dimensional performance evaluation data set is generated using quantum heuristic algorithms and digital twin technology, and the weights are dynamically adjusted, which solves the problems of lag in the evaluation result and conflicts in the traditional method, and realizes efficient resource utilization and response of computing power network.

CN120378333AActive Publication Date: 2025-07-25GUANGZHOU ZHANGDONG INTELLIGENT TECH CO LTD
3 Cites 31 Cited by

Patent Information

Application Number
CN202510856744.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-25
Publication Date
2025-07-25
Estimated Expiration
2045-06-25

AI Technical Summary

Technical Problem

Traditional hierarchical analysis method based on static weights is difficult to adapt to dynamically changing network states in real-time performance evaluation of computing power networks, resulting in lagging evaluation results and lack of flexibility, and the resource allocation conflicts and scheduling efficiency in cross-domain collaborative scheduling are reduced.

Method used

The real-time performance evaluation method of computing power network based on hierarchical analysis is adopted, node status data is obtained through distributed sensors and log systems, and the multi-dimensional performance evaluation data set is generated, the AHP weight is dynamically adjusted, and the risk assessment algorithm and reinforcement learning model is combined to achieve real-time optimization and adaptive adjustment of resource scheduling.

Benefits of technology

The real-time response efficiency and resource utilization of computing power network have been significantly improved, and the scheduling strategy is quickly generated through a dual-track mechanism of real-time monitoring and future prediction, dynamically optimize resource allocation, avoid resource conflicts, and ensure performance-cost-carbon efficiency balance.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of computer networks, and discloses a computing power network real-time performance evaluation method based on an analytic hierarchy process, and the method comprises the steps: collecting a node operation state and task demand data through a sensor, and generating a local performance index in combination with an edge quantum algorithm; simulating a future network state by using digital twinning, and fusing to generate a multi-dimensional performance data set; the AHP weight is dynamically adjusted based on resource deviation and a geological classification model, high-frequency updating is started for high load / fault, and the weight range is expanded for low load; introducing a risk assessment algorithm to quantify a performance-cost-carbon effect conflict level, and triggering resource recovery, optimization prompt or single index suggestion; scheduling strategies are triggered in a grading mode according to evaluation results, and active intervention is started in combination with anomaly detection; the AHP weight is dynamically updated through reinforcement learning, and quantum-classical hybrid algorithm parameters and block chain verification weight are automatically optimized. The real-time response efficiency and the resource utilization rate of the computing power network can be improved.
Need to check novelty before this filing date? Find Prior Art