摘要
采用量化的、精确的灾难恢复计划(DRP)从多个子灾难恢复计划中选择最优集合,这对于高效地实现灾难恢复至关重要。采用最优化理论提出一个DRP数学模型,它用参数表示系统中不同应用、设施、资源、子灾难恢复计划、预算等实体,使用数学方法表示实体之间的关系,通过对资源进行分类解决不同子灾难恢复计划之间的冲突。模型使用较少的主观参数,以实现对DRP精确、客观的评价。最后给出了模型的实施步骤与模型分析,并且通过实验验证了模型的正确性。
It is very pivotal to use quantitive and accurate disaster recovery planning （DRP） to select the best set of sub disaster recovery plans and control the disaster recovery activities. Using optimization theory, we present a DRP mathematical model. This model introduces parameters to represent different entities, such aa applications, facilities, resources, sub plans, budget, etc. It uses mathematical method to express the relationship of different entities, and solves the conflicts among various sub disaster recovery plans by classifying the resources. The model employs less subjective parameters to evaluate DRP more impersonally and accurately. The implementation and the analysis of the model are presented. Test also verified the correctness of the model.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2007年第1期146-150,共5页
Journal of Jilin University:Engineering and Technology Edition
基金
'十五'国家重点科技攻关计划项目(2002AA1Z67101)
关键词
计算机应用
信息系统
持续服务
风险评估
灾难恢复计划
最优化理论
数学模型
computer application
information system
continuous service
risk assessment
disaster recovery planning（DRP）
optimization theory
mathematical model
