Data replication method and storage controller and system

Abstract

A data replication method is provided. The data duplication method includes: when the label controller receives the write I/O data issued by the host, it is judged whether there is currently a started receiving subcycle (11); if there is currently no started receiving subcycle, the label controller starts The receiving sub-cycle corresponding to the currently generated tag, and write I/O data according to the tag ID corresponding to the receiving sub-cycle (12); if there is currently a started receiving sub-cycle, write I/O data according to the tag ID corresponding to the receiving sub-cycle Data (13); at the end of the receiving sub-cycle, copy the write I/O data of the label identification corresponding to the receiving sub-cycle to the destination end (14). When receiving the write I/O data delivered by the host, the condition for the tag controller to start a new receiving subcycle is: there is a newly generated tag and there is no started receiving subcycle. Therefore, the data duplication method solves the technical problem that the receiving sub-cycle of the next buffering cycle can only be started after the sending sub-cycle of the previous buffering cycle ends. Also provided are a storage controller and a system. The data replication method, storage controller and system can reduce the probability of blocking writing I/O data.

Description

technical field [0001] The embodiments of the present invention relate to computer technology, and in particular to a data replication method, storage controller and system. Background technique [0002] The storage device-based replication solution is a data replication solution between storage devices, which is mainly used for disaster recovery, data migration and data backup, and remote data transmission based on user purposes. The end sending data can be called: production center, and the end receiving data is called: disaster recovery center or disaster recovery center. The storage device-based replication solution is suitable for sending data from a single storage device to other nodes, especially for sending data from a clustered storage system to other nodes. When a time point is reached, the data at the receiving end is the same as the data at the sending end, then it is considered that the data at the receiving end and the sending end are consistent. [0003] The...

AI Technical Summary

Problems solved by technology

[0004] In order to improve the granularity of data consistency, the receiving subcycle can be shortened as much as possible

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