面向运行态的内存故障风险评估与自适应诊断方法及系统

By constructing cross-layer differential triplets and drift evaluation sequences, the problem of cross-layer coupling changes in runtime memory access is solved, enabling accurate identification and dynamic response of fault risks, and improving the accuracy and stability of fault determination.

CN121807452BActive Publication Date: 2026-07-17HUIRONG ELECTRONIC SYST ENG CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUIRONG ELECTRONIC SYST ENG CO LTD
Filing Date
2026-03-06
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot effectively handle cross-layer coupling changes in runtime memory access between the host layer, virtualization layer, and NUMA topology. This makes fault risk assessment susceptible to access jitter interference and virtualization scheduling offsets, and lacks cross-layer sequence consistency identification and risk level classification response strategies.

Method used

By collecting runtime memory monitoring data, performing time synchronization, access jitter smoothing, anomaly removal, interpolation compensation and standardization processing, constructing cross-layer differential triples, identifying cross-layer inconsistent segments, generating cross-layer drift assessment sequences, and performing response operations based on risk level labels to conduct stability assessments.

Benefits of technology

It enables accurate identification and dynamic response to cross-layer memory fault risks, improves the accuracy and stability of fault determination, reduces the propagation range of potential faults, and enhances online handling capabilities.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了面向运行态的内存故障风险评估与自适应诊断方法及系统,涉及内存运行管理技术领域,包括:S1,采集运行态内存监测数据,并对运行态内存监测数据执行预处理后;S2,生成跨层差分三元组集合,对跨层差分三元组执行差异方向判定,识别出跨层不一致片段;S3,构建跨层风险索引集,对每个不一致片段执行跨层故障风险量化分析,基于量化分析结果执行风险等级划分并生成对应的风险等级标签;S4,对不一致片段执行风险响应操作,并进行响应稳定性评估,生成最终风险响应结果集。解决了现有技术在多层内存访问链路中无法精准识别跨层差异来源,导致运行态故障风险判定易受访问抖动干扰与虚拟化调度偏移影响的问题。
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