Data level disaster-tolerant method and system and production center node

Abstract

The invention discloses a data level disaster-tolerant method. The method comprises the following steps of: performing snapshot process on data generated through the operation of an application program to generate snapshot mirror data; performing local data de-duplication on the snapshot mirror data to generate the data processed through the local data de-duplication and the corresponding index data; performing global data de-duplication on the data processed through the local data de-duplication and the corresponding index data to generate the data processed through the global data de-duplication and the index data; and transmitting the data processed through the global data de-duplication and the index data to a backup center node. The invention also discloses a data level disaster-tolerant system and a production center node, which can reduce the capacity of the data transmitted between the production center node and the backup center node and the requirement on network bandwidth performance so as to realize the data level disaster tolerance more rapidly and effectively and enhance the reliability and availability of the disaster-tolerant system.

Description

technical field [0001] The invention relates to disaster recovery technology in network communication, in particular to a data-level disaster recovery method, system and production center node. Background technique [0002] Disaster recovery refers to a series of system planning and construction activities to ensure that key businesses and applications can still provide normal services to the maximum extent after experiencing various disasters. Common disaster events include natural disasters such as fires, floods, earthquakes, and typhoons; sudden disasters such as equipment failures, software errors, telecommunications network outages, and power failures; and operator errors, sabotage, implanting harmful codes, and terrorism Disasters caused by human factors such as attacks. The origin and development of the disaster recovery industry is an inevitable product of the development of computer technology, and it also reflects the importance of information systems and data to ...

AI Technical Summary

Problems solved by technology

The disadvantage of this type of disaster recovery system is that it does not have the ability to deduplicate data, the amount of data transmission between the production center node and the backup center node is large, and the requirements for network bandwidth are high; since the data replication software is installed on the server, Therefore, it has a great impact on the performance of the application system, requires more server resources, and has a greater impact on the business processing performance of the central node.

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