基于贝叶斯和大数据分析的业务连续性风险管理

Business Continuity Risk Management Based on Bayesian Network and Big Data Analysis

容灾备份恢复已经上升到国家信息化发展的战略高度。业务连续性是容灾备份的一个应用延伸,是指在中断事件发生后,在预先确定的可接受水平上连续提供服务的能力。通过分析关键风险因素对业务连续性的影响,制作了云环境下业务连续性保护评价指标体系,然后利用贝叶斯网络构建风险评估模型并给出风险分析方法。基于大数据下的云日志解析来实现状态、阈值、趋势、评价等风险预警的云服务技术,构建风险预警系统,并配套实施相应的保障电网业务连续性的风险管理机制。

Nowadays,disaster recovery has been risen to the strategic height of national information development.Business continuity is an application extension of disaster recovery,which refers to the ability of organizations to provide services continuously at a predetermined acceptable level in the event of power outage.By analyzing the impact of key risk factors on business continuity,an evaluation index system of business continuity protection in the cloud environment is made,and then a risk assessment model is constructed and a risk analysis method is given by using Bayesian network.The cloud log analysis under big data is used to realize the cloud service technology of early risk warning such as status,threshold,trend and evaluation.The early risk warning system is constructed,and the corresponding risk management mechanism is implemented to ensure the business continuity of power grid.