Method for calculating disaster recovery point objective of information system

Abstract

The invention provides a method for calculating a disaster recovery point objective of an information system. The key of the method is an information system consisting of m production systems, wherein k items of services K1, K2,..., Kk run on the information system, and each item of service only can run on one production system. Through analyzing the importance of each production system, the importance of each service, the existing data volume and the data volume (per second) generated by each department in the information system, and based on the generated data volume (per second) relevant to each service, according to the percentage of the existing data volume in a service used by a department to the total data volume of the department, new generated data (per second) of each service and new generated data (per second) of the production system relevant to each service are estimated; and then, through synthesizing the importance of each production system in the information system, the generated data volume of a production system is divided by the newly increased weighted data volume of the production system so as to obtain a value of the disaster RPO (recovery point objective) of the whole information system.

Description

technical field [0001] The present invention relates to a method for calculating the disaster recovery point target of an information system, which can scientifically calculate the disaster recovery point required in the disaster recovery construction of the information system by analyzing the data volume, business volume and related data of the existing information system Target (RPO: Recovery Point Object) indicator. Background technique [0002] According to the definition in the national standard "Information System Disaster Recovery Specification" (GB / T20988-2007): a disaster refers to a serious failure or paralysis of an information system due to man-made or natural reasons, causing the business functions supported by the information system to stop or the service level to be reduced. Reduced to unacceptable, unexpected events that reach a specified time. Typical catastrophic events include natural disasters (such as fire, flood, earthquake, wind disaster, etc.), equip...

AI Technical Summary

Problems solved by technology

However, with the generation of new data, the growth rate of the total data will exceed the backup capacity, and the data backup will not be completed within the specified time

And the RPO indicators of different information systems are different. The traditional RPO indicators not only ignore the changes in the data of the information system, but also ignore the influence of the relationship between the production system, business, and departments on the growth rate of the data.

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