摘要
提出了一种基于数据混沌属性碰撞分析模型的Web系统失效检测方法。提取Web失效数据混沌特征,将其作为Web系统失效检测的基础数据。建立数据混沌属性碰撞分析模型,将Web失效数据混沌特征作为该模型的输入数据,从而实现Web系统失效检测。实验结果表明,利用本文算法进行Web系统失效检测,可以极大地提高检测的准确性,从而为用户提供更加优质的Web服务。
Puts forward a model based on chaotic attribute data collision analysis web system failure detection method. Chaos characteristics extraction web failure data, as a web system failure detection based data. Chaotic properties data collision analysis model is established, the web failure data chaos characteristics as the model input data, so as to realize the web system failure detection. Experimental results show that the algorithm presented in this paper on the web system failure detection, can greatly improve the accuracy Of detection, to provide users with more high-quality web service.
出处
《科技通报》
北大核心
2013年第8期193-195,共3页
Bulletin of Science and Technology
关键词
数据混沌属性
碰撞分析
系统失效检测
关联属性
Chaotic attribute data
Collision analysis, system failure detection
Correlation properties