摘要
针对大数据环境下软件失效行为的复杂性问题,提出了一种基于关联维数的软件失效混沌识别算法.通过计算软件失效数据是否具有关联维特征来验证失效的混沌性,利用相空间方法重构软件失效系统,验证了软件失效行为的混沌性.实验结果表明,混沌关联维算法能够有效识别软件失效的混沌性,精确地描述软件失效行为的无序性和无规则性,同时也能解决复杂软件系统失效、大数据混沌性这类复杂问题.
In view of the disorder of software failure behavior in large data environment,a software failure identification method based on chaotic correlation dimension is proposed.With the help of the G-P algorithm,the characteristics of the correlation dimension and the embedding dimension of the failure data are calculated,and the uncertainty of the software failure data is determined by the chaotic characteristic quantity.The experimental results show that the chaos correlation dimension algorithm not only can effectively identify software failure,and accurately describe the software failure behavior disorder and irregular,but also can solve the complex software system failure,and big data chaos of this kind of complex problem.
引文
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