摘要
对数据库中软件安装运行的管理,能够有效提升大型网络数据库的运行质量。对软件安装运行的管理,首先需要对建库软件组件的安全性进行预测,计算出软件组件安全性预测阈值,完成对软件运行的管理。传统方法以灰熵定义为基础,定义系统安全度的概念,得到了量化指标,但忽略了计算出软件组件安全性预测阈值,导致管理精度偏低。提出基于混沌理论的大型网络数据库建库软件组件安全性预测方法。在软件组件的实际运行过程中进行故障数据收集,计算出建库软件组件安全状态的演变规律,给出整个软件组件失效的局部观测值,得到对软件组件安全性预测的约束条件,建立了大型网络数据库建库软件组件的S曲线模型,计算出软件组件安全性预测阈值,利用该阈值对软件组件的总安全缺陷数进行预测。仿真证明,所提方法预测精度较高,可以有效地提升大型网络数据库建库软件的质量。
In this paper, we put forward a security prediction method for building software component of large network database based on chaos theory. Firstly, this method gathered fault data in actual running process of software component and calculated evolution rule of security state of software component in library building, thus gave local observation value of failure of whole software component, and then obtained constraint condition for security prediction of software component and founded S curve model for building software component of large network database. Finally, this method calculated security prediction threshold of software component to predict total security defective number of software component by using the threshold. The simulation results show that the method in this paper has high prediction accuracy. It can effectively improve quality for building software of large network database.
出处
《计算机仿真》
北大核心
2017年第12期349-352,共4页
Computer Simulation
关键词
数据库
软件安装
运行管理
Database
Software installation
Operation management
