High-performance cluster user system backup and recovery method and apparatus

Abstract

The invention discloses a high-performance cluster user system backup and recovery method and apparatus. The apparatus comprises an information confirmation module used for confirming files involved by old cluster user information, an information compression module used for compressing and packaging the files involved by the old cluster user information and copying a compressed package to a new cluster, an information extraction module used for editing and extracting the files of the compressed package in the new cluster to be in a required format and storing the extracted files as temporary files, an information importing module used for outputting the extracted temporary files as user information and importing the user information to the new cluster, and an information check module used for checking whether a result of importing the user information to the new cluster is correct or not. According to the method and the apparatus, the tediousness of manual operation is avoided; the implementation workload is reduced; the project time cost is reduced; the data consistency is ensured; and the change of a compilation environment of an individual user due to a manual importing error is prevented.

Description

technical field [0001] The invention relates to the technical field of high-performance computing clusters, in particular to a method and device for backing up and restoring high-performance cluster user systems. Background technique [0002] High-performance computing is called "the important weapon of the country". Its manufacturing and application level not only represent the country's technological development level, but also a key weapon for the country to shape its core competitiveness in economic construction. In the era of high-performance + cloud computing, large-scale use of HPC clusters for scientific computing and commercial computing has come and penetrated into all walks of life. The previous concept of "using HPC for scientific research" no longer exists. While creating productivity, various commercial companies also use HPC to improve production efficiency, thereby minimizing the time and cost spent on virtual and simulation stages , shorten the time for ent...

AI Technical Summary

Problems solved by technology

If you redeploy the use environment in the new Linux cluster, it will not only be time-consuming and laborious, but also the personalized use environment deployed by the original users may be lost, resulting in a gap period for the migration of the old and new clusters, which will affect the computing tasks of the cluster users

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