A cloud storage-based financial data disaster recovery intelligent backup method and system

Abstract

The application discloses a kind of financial data disaster recovery intelligent backup method and system based on cloud storage, it is related to financial data storage technical field, by constructing data access behavior monitoring and heat recognition mechanism, system can be based on access frequency, field change frequency and transaction coupling complexity etc. Behavior characteristics, real-time dynamic perception is carried out to financial data.Different from indiscriminate fixed cycle full backup mode in prior art system, the scheme can automatically divide priority according to whether data is hot, whether it changes, whether it is important, realize the quick response backup processing of high-frequency key data, greatly improve the pertinence and flexibility of resource allocation.With the help of heat level classification and backup strategy mapping mechanism, the system can accurately bind each data unit to the corresponding backup strategy channel, realizing one-to-one correspondence between data level and backup strategy.Through the organizational structure of logical task unit, batch scheduling, parallel uploading and dynamic rhythm control are supported.

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