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Metadata Update Strategy with High Reliability

The traditional metadata cluster write reliability was guaranteed by the large journals. If suddenly the system is powered down, the system crashes, failure of the storage medium bit error in the incident of writing the data and it could cause a loss of metadata and resulting in corruption of the reliability. This will have a huge negative impact on the user application. In this paper we propose a method of Asymmetric Based Update Strategy (ABUS), which can be a good safeguard to keep reliable of the metadata update and can solve the problem of inconsistent between the memory and the disk. It can effectively increasing the metadata cluster update reliability by the way of self-healing in the case of failure and ensure the efficiency of the metadata I/O.