Data Backup System with No Impact on Business Processing Utilizing Storage and Container Technologies
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Accesso online: | |
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| _version_ | 1866929496485003264 |
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| author | Watanabe, Satoru |
| author_facet | Watanabe, Satoru |
| contents | Data backup is a core technology for improving system resilience to system failures. Data backup in enterprise systems is required to minimize the impacts on business processing, which can be categorized into two factors: system slowdown and downtime. To eliminate system slowdown, asynchronous data copy (ADC) technology is prevalent, which copies data asynchronously with original data updates. However, the ADC can collapse backup data when applied to enterprise systems with multiple resources. Then, the demonstration system employed consistency group technology, which makes the order of data updates the same between the original and backup data. In addition, we developed a container platform operator to unravel the complicated correspondence between storage volumes and applications. The operator automates the configuration of the ADC with the setting of consistency groups. We integrated the storage and container technologies into the demonstration system, which can eliminate both system slowdown and downtime. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_07081 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Data Backup System with No Impact on Business Processing Utilizing Storage and Container Technologies Watanabe, Satoru Distributed, Parallel, and Cluster Computing Databases Data backup is a core technology for improving system resilience to system failures. Data backup in enterprise systems is required to minimize the impacts on business processing, which can be categorized into two factors: system slowdown and downtime. To eliminate system slowdown, asynchronous data copy (ADC) technology is prevalent, which copies data asynchronously with original data updates. However, the ADC can collapse backup data when applied to enterprise systems with multiple resources. Then, the demonstration system employed consistency group technology, which makes the order of data updates the same between the original and backup data. In addition, we developed a container platform operator to unravel the complicated correspondence between storage volumes and applications. The operator automates the configuration of the ADC with the setting of consistency groups. We integrated the storage and container technologies into the demonstration system, which can eliminate both system slowdown and downtime. |
| title | Data Backup System with No Impact on Business Processing Utilizing Storage and Container Technologies |
| topic | Distributed, Parallel, and Cluster Computing Databases |
| url | https://arxiv.org/abs/2409.07081 |