基于云模型的灾难恢复能力评价方法研究  

Study on Disaster Recovery Capability Evaluation Approach Based on Cloud Model

作　　者：姚文斌[1] 王真[1] 赵玲[1] 姚翔[1] 

机构地区：[1]北京邮电大学计算机学院,北京100876

出　　处：《计算机科学》2015年第8期152-156,共5页Computer Science

基　　金：国家高技术研究发展计划资助项目(2012AA012600);北京市教育委员会共建项目专项;国家发改委信息安全专项(2011RCZJ16)资助

摘　　要：鉴于现有灾难恢复能力评价体系对动态指标的考虑不足,不能全面地反映现实系统,评价方法未对系统的整体稳定性做分析且权重计算偏于主观,易受人为因素影响等情况,构建了一套新的灾难恢复能力评估体系和评价方法。提炼归纳了体现灾难恢复能力的综合性动态指标,丰富了指标体系。引入云理论,提出了基于正态分布区间数的指标评价值规范化方法和改进的G1-熵权法的综合赋权模型,最终得出了系统灾难恢复能力的云模型表示方法,完成了定性到定量的转换。通过实例仿真验证了该方法的可行性。The existing index system about disaster recovery capability often takes insufficient account of the dynamic index At the same time, the existing evaluation methods do not make analysis on system stability, and the weight calculation method is far too subjective. To solve these problems, a new index system and an evaluation approach of disaster recovery capability were proposed. The composite indicators, such as RPO and RTO, were added into the index system. Combined with cloud model, the paper proposed a method for normalizing the index value based on interval number and a comprehensive empowerment model based on G1 and entropy method. This evaluation constructs the cloud model for disaster recovery capability, which implements the conversion from qualitation to quantitatiorh Then the experiment con- firms the feasibility of this method.

关 键 词：云模型 系统评价 灾难恢复能力 综合赋权 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]