Distributed nonvolatile file system

Abstract

The invention discloses a distributed non-volatile file system, which comprises a plurality of metadata servers and a plurality of storage servers. One or more non-volatile memories are arranged in each storage server, and all the non-volatile memories are mapped into a whole memory space. Wherein, any one of the metadata servers is configured to divide the target file into a plurality of stripesupon receiving a storage request for the target file; according to the size of each strip, the corresponding memory space is allocated for each strip through a query space allocatable table. Record the starting address and offset of each strip in memory space in the metadata of the destination file. The technical proposal provided by the embodiment of the invention can realize fast metadata access, reduce searching time of metadata, reduce data copy and reduce read-write access delay by utilizing non-volatile memory for file storage.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a distributed non-volatile file system. Background technique [0002] With the rapid development of computer technology, the performance gap between the processor and the memory is getting bigger and bigger, especially the performance gap between the processor and the external memory is particularly obvious, which makes the I / O bottleneck problem increasingly prominent. [0003] In order to alleviate the I / O bottleneck problem, the traditional method is to reduce the number of accesses to external memory by setting a disk file cache in memory. [0004] However, the explosive growth of data requires more and more memory capacity. The benefits brought by traditional methods by increasing the cache capacity are reduced, and the frequent exchange of data between internal and external memory will generate a large overhead, and the read and write access delay is relativel...

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Problems solved by technology

[0004] However, the explosive growth of data requires more and more memory capacity. The benefits brought by traditional methods by increasing the cache capacity are reduced, and the frequent exchange of data between internal and external memory will generate a large overhead, and the read and write access delay is relatively large.

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