Volume stage continuous data protection system supported by consistent point insertion and recovery and method

Abstract

The invention relates to a volume stage continuous data protection system supported by consistent point insertion and recovery, which comprises an application program module, a consistent point insertion drive module, a file system module, a mirror image drive module, a local logic volume module and a continuous data protection system server. The method of the invention comprises the steps of catching and packaging file stage consistent point operation information to an IO data packet and inserting the information into a normal data flow; differentiating the IO data by utilizing the continuous data protection server; storing the common IO data into a continuous data storage pool; extracting and writing the consistent point information to a consistent point information file from the IO data containing the consistent point information; searching a consistent point index file and generating a recovery time list if requiring recovery; and combining data blocks before the time point expected by users to generate data mirror images, and transmitting the data mirror images to a client. The invention has the advantage of strong generality, and can recover and support the continuous data protection consistency of different granularities.

Description

technical field [0001] The invention belongs to the technical field of computer data storage, in particular to an implementation method of a volume-level continuous data protection system supported by consistent point insertion and recovery, which provides auxiliary support means for the consistency recovery of the volume-level continuous data protection system. technical background [0002] Continuous data protection is a continuous point-in-time data protection technology. Its function is to complete fault recovery at any point in time at the moment of failure, and fundamentally solve the inherent weaknesses of traditional backup technologies such as low recovery capabilities and non-fine time strategies. The continuous data protection system can capture all data changes of the protected system and provide data changes that record the state of all historical data. For example, if the data at the same physical address changes 10 times, the continuous data protection system ...

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Problems solved by technology

However, SWEEPER needs to define many system events and the probability relationship between events and system failures. In practical applications, it is difficult to establish the probability relationship between system events and failures, and the recovery accuracy is not high.

At the 2008 Academic Symposium on Trusted Distribution Systems held in Naples, Italy in 2008, Lu Maohua, Tzi-cker Chiueh and Lin Shibiao published a paper entitled "A Method by Analyzing Documents Incremental File Syst...

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