Data Backup System with No Impact on Business Processing Utilizing Storage and Container Technologies
September 11, 2024 Β· Declared Dead Β· π IEEE International Conference on Data Engineering
"No code URL or promise found in abstract"
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Authors
Satoru Watanabe
arXiv ID
2409.07081
Category
cs.DC: Distributed Computing
Cross-listed
cs.DB
Citations
0
Venue
IEEE International Conference on Data Engineering
Last Checked
4 months ago
Abstract
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.
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