系统日志评价方法、装置、设备及介质
Apr 14, 2023·
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0 min read
Shenghui (Samuel) Gu
Xian Li (李显)
Guoping Rong (荣国平)
He Zhang (张贺)
Dong Shao (邵栋)
Xin Zhou (周鑫)
Abstract
本发明涉及系统日志评价方法，所述方法包括以下步骤：步骤1：获取系统日志数据，步骤2：提取系统日志数据模板，将非结构化的系统日志数据转化为结构化的系统日志，步骤3：利用基于神经网络的异常检测算法训练异常检测模型，步骤4：对异常检测模型进行解释，输出系统日志价值。该技术方案通过提高日志信息量，减少冗余日志等方式，提升日志数据的质量，从而达到提升数据价值的同时减少数据收集量的效果，进一步提升异常检测算法的效果与效率。
Type
Publication
中华人民共和国国家知识产权局
Authors
Shenghui (Samuel) Gu
(he/him)
Postdoctoral Researcher
Postdoctoral Researcher at the University of Ottawa specializing in Trustworthy AI and Software Engineering, holding a Ph.D. from Nanjing University.
Research lies at the intersection of AI Safety and System Reliability, with deep expertise spanning LLM-driven testing, search-based software engineering for autonomous systems, and AIOps for distributed architectures.
Dedicated to developing rigorous, interpretable, and scalable methodologies that leverage generative AI to solve complex validation challenges in safety-critical and large-scale industrial systems.
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