| Information systems face the constant risk of disaster destruction. The importance ofdisaster recovery construction received extensive attention. During the disaster recoveryconstruction, the user must promptly grasp the disaster recovery capability and developappropriate improvement according to their needs. The latest GB of disaster recovery is withpartial fuzzy and qualitative characteristics of the gap with the practical details, there is a "hardlanding" problem. And information systems influenced by many factors in the actual run-time,leading to its disaster recovery capability to change, the traditional static indexes are difficult toreflect the above characteristics.The evaluation of disaster recovery capability, being complex system engineering, need toestablish the index system and the scientific metrics, design evaluation model for computing, andget intuitive quantitative value results and comprehensive qualitative rating results. Existingdomestic research lay emphasis on disaster recovery management, and pay less attention todetails of the technical indicators. They establish indicators lack of the disaster recoverycapability dynamically changes inspection of the information systems in whole phase.For the solution of these problems, a deepgoing study and realization of its main researchpoints are as follows:1. Proposed disaster recovery capability index system based on the resources and dynamicindex based on the impact-sensitive. For the current country subscript hard landing problemand dynamic evaluation of demand, put forward disaster recovery capability index system basedon the resources, First analysis of the GB and extract the coarse-grained indicators refer to therelevant standards to design and establish a fine-grained indicator, while adding a dynamic index,completed refinement GB and dynamic evaluation objectives. Proposed dynamic index toexamine capacity subject to the sensitive factors that impact of the information systemsdisasterreduce the target size, effectively portray the technical details of the GB.2. Proposed measurement based on dynamic indicators of the index characteristics.Dynamic indicators measurement the lack of systematic research, based on the characteristics ofthe dynamic indicators, by comparing a variety of related methods, and identified three types ofdynamic indicators measurement, proposed the Fuzzy-Logic Tree based impact analysis, backupperformance-based impact analysis and the Weibull based analysis of the dynamic indicators tomeasure, in order to effectively solve the disaster recovery capability dynamic indicatorsmeasureproblem, and have achieved good results.3. Proposed floating classification algorithm based on grey clustering integrated evaluationmodels. Lack of flexibility for existing disaster recovery capability classification mechanism can not reflect the actual conditions information systems disaster recovery capability to dynamicallychange the GB level requirements baseline, a floating classification algorithm based on greyclustering, disaster recovery ratingflexibility, improved the effect of evaluation.4. Put forward the disaster recovery evaluation process framework based on informationflow, and design a prototype system of disaster recovery capability evaluation. Design procedureand function module of disaster recovery evaluation and make software implementation ofevaluation available. |
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