{"title":"Data Backup System with No Impact on Business Processing Utilizing Storage and Container Technologies","authors":"Satoru Watanabe","doi":"arxiv-2409.07081","DOIUrl":null,"url":null,"abstract":"Data backup is a core technology for improving system resilience to system\nfailures. Data backup in enterprise systems is required to minimize the impacts\non business processing, which can be categorized into two factors: system\nslowdown and downtime. To eliminate system slowdown, asynchronous data copy\n(ADC) technology is prevalent, which copies data asynchronously with original\ndata updates. However, the ADC can collapse backup data when applied to\nenterprise systems with multiple resources. Then, the demonstration system\nemployed consistency group technology, which makes the order of data updates\nthe same between the original and backup data. In addition, we developed a\ncontainer platform operator to unravel the complicated correspondence between\nstorage volumes and applications. The operator automates the configuration of\nthe ADC with the setting of consistency groups. We integrated the storage and\ncontainer technologies into the demonstration system, which can eliminate both\nsystem slowdown and downtime.","PeriodicalId":501422,"journal":{"name":"arXiv - CS - Distributed, Parallel, and Cluster Computing","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Distributed, Parallel, and Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.